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August 2025 Digital Marketing Roundup: What Changed and What You Should Do About It

Another month, another round of shifts redefining what digital visibility means. From AI-driven SERPs to browser wars, TikTok engagement metrics to evolving influencer ecosystems, August brought real change, not just noise.

Here are the trends that actually matter for marketers, and what to do next.

Key Takeaways

  • Google is transforming search pages with AI clustering, reshaping how visibility works.
  • OpenAI is launching its own browser, pushing marketers to track LLM traffic.
  • TikTok now tracks post-click engagement without pixels.
  • Reddit, Instagram, and Twitch are rising as powerful intent channels.
  • AI content still ranks, but only when it’s human-edited.
  • Platform automation continues: Meta, Pinterest, and ShopMy evolve how marketers drive outcomes.

Search and AI: Visibility Rewritten

AI and search engine experiences are evolving rapidly. This month highlighted how AI systems are reshaping SERPs and how marketers must adapt to maintain authority and traffic.

Google Tests AI-Powered “Web Guide” Results

Google is testing a new way of displaying search results called Web Guide. Instead of a linear list of links, it organizes content into clusters based on different subtopics related to the query. The feature is powered by AI that expands on the original question using something called “query fan-out,” grouping results by intent.

Google's Web Guide.

Why it matters: This is a seismic shift. Traditional ranking signals still apply, but now, if your content isn’t aligned to the right subtopic or cluster, it could be buried. This raises the bar for topical depth and content structure.

What to do:

  • Create pillar pages supported by semantically related blog content.
  • Revisit internal linking strategies to reflect topic clusters.
  • Optimize for intent categories, not just keywords.

OpenAI Launches an AI Browser

OpenAI is working on its own AI-integrated browser, while Perplexity AI announced its “Comet” browser to enhance how users interact with AI-generated content. These aren’t just tools, they’re building ecosystems that change how people discover and click.

Why it matters: LLMs already influence buyer behavior, but browsers like these will give users alternative pathways to discover content, bypassing Google altogether.

What to do:

  • Ensure content is easily interpreted by machines (schema, metadata, FAQs).
  • Monitor LLM-driven traffic sources and optimize accordingly.
  • Prepare your brand for a multiverse of search platforms.

AI Content Still Ranks (If It’s Edited)

What happened: Ahrefs analyzed over 600,000 ranking pages and found that content created with AI still performs well in search, as long as there’s a human editor in the loop. Fully AI-written content lacked depth and often failed to rank.

A graphic from Ahrefs showing AI-generated content usage by search result position.

Source: Ahrefs

Why it matters: The message is clear: AI is a drafting tool, not a publishing engine. Without human oversight, your content will lack nuance, depth, and authority.

What to do:

  • Use AI to generate initial outlines or first drafts.
  • Inject proprietary data, expert commentary, and a clear editorial voice.
  • Avoid overused AI templates that sound generic.

Topical Coverage Beats Keywords

What happened: A Surfer SEO study analyzing 1 million SERPs confirmed that content covering a broader range of subtopics consistently outperforms keyword-dense content.

A Surfer SEO study showing the correlation between topical coverage and rankings.

Source: SurferSEO

Why it matters: Google now values topic completeness over keyword repetition. If your page isn’t the most comprehensive resource, it won’t win the top spots.

What to do:

  • Expand thin content into rich, multi-angle pieces.
  • Use topic modeling tools to identify missing sections.
  • Prioritize helpfulness and coverage in content briefs.

Perplexity’s Ranking Logic: Depth Wins

What happened: Researchers dissected how Perplexity AI ranks sources and found that engagement signals, semantic depth, and real-time interest (like YouTube trends) influence results more than traditional backlink strength.

The Perplexity interface.

Why it matters: AI platforms prioritize content differently than Google. If you’re not adapting to these new ranking models, you’re losing visibility.

What to do:

  • Build content clusters around core entities and topics.
  • Sync your publishing calendar with emerging YouTube trends.
  • Focus on engagement metrics like dwell time and user click paths.

Paid Media & Attribution

Ad platforms continue to evolve their tracking and bidding capabilities. This month brought updates that offer new performance levers and visibility into campaign impact.

TikTok Launches “Engaged Session” Metrics

What happened: TikTok has added a new optimization option called Engaged View, which tracks sessions where users stay on your site for at least 10 seconds. And you don’t need a pixel to activate it.

Why it matters: This marks a shift from measuring volume (clicks) to measuring quality (attention). In early tests, this reduced cost per session by 46%.

What to do:

  • Switch to Engaged View bidding to prioritize real intent.
  • Analyze content for bounce drivers and improve first-glance stickiness.
  • Use Engaged View as a leading indicator before conversions kick in.

Meta Introduces Value Rules For Smarter Bidding

What happened: Meta’s Value Rules now allow advertisers to adjust bids based on user characteristics like age, device, or location, and align spend with expected customer value.

A smartphone with facebook on it.

Why it matters: You can now shift budgets based on segments that produce better LTV or ROAS, making every dollar more efficient.

What to do:

  • Build customer profiles and align them with value rules.
  • Test against Advantage+ campaigns to benchmark lift.
  • Limit the number of rules, Meta applies only the first matching one.

Meta Advantage+ Sales Takes Over Manual Campaigns

What happened: Meta is continuing its automation push by fully rolling out Advantage+ Sales campaigns, merging manual setups into a single, AI-driven format.

Why it matters: Campaign managers now need to think more like strategists than technicians. The real advantage lies in your inputs.

What to do:

  • Provide high-quality creative and clear audience signals.
  • Let Meta’s system run, but audit performance daily.
  • Prepare creative variations for constant refresh.

Social & Content Evolution

This month proved that content performance depends on more than just reach. Authenticity, interactivity, and strategic testing now shape social success.

Instagram Adds Follower Drop-Off Insights

What happened: Instagram rolled out new analytics that show you exactly when you gained or lost followers, down to the content that triggered the shift.

Instagram's new follower drop-off insights.

Source: Social Media Today

Why it matters: For the first time, you can directly connect individual posts to retention or churn, giving you a roadmap for what works.

What to do:

  • Track which formats or topics correlate with losses.
  • A/B test CTAs, posting times, and carousel lengths.
  • Create audience segments by behavior and adjust strategy accordingly.

Reddit Evolves Into A Search Engine

What happened: Reddit is consolidating its traditional search functionality and Reddit Answers into a single, robust search-first experience, positioning itself as the Google alternative for peer-reviewed insights.

Why it matters: Reddit is already influencing Google results. Now it wants to be the source.

What to do:

  • Optimize for branded search presence on Reddit.
  • Run AMA-style campaigns to build trust in niche subreddits.
  • Experiment with Reddit Ads for high-intent discovery.

ShopMy Circles Turns Influencers Into Storefronts

What happened: ShopMy, the platform built to help creators monetize recommendations, now allows influencers to create “Circles“: always-on storefronts that showcase curated product collections in a searchable, shoppable format.

The ShopMy platform.

Why it matters: Influencer marketing is shifting from one-off promotions to persistent product discovery. These Circles allow creators to turn past content and ongoing product picks into revenue-generating hubs. It’s not just a link in bio anymore; it’s a branded shopping experience with real conversion potential.

What to do:

  • Partner with creators in your niche to build product-specific Circles that reflect your catalog and values.
  • Treat Circles like evergreen landing pages: support them with social content, updates, and seasonal refreshes.
  • Use performance analytics to track not just click-throughs but also long-tail sales impact over time.

Christian Influencers Redefine Creator Impact

What happened: Faith-based influencers are gaining real traction, not just with religious audiences, but across lifestyle, parenting, and wellness spaces. Their content blends day-to-day authenticity with values-driven storytelling, creating deep community trust.

Why it matters: This is a prime example of the broader trend toward micro-communities and purpose-driven branding. Audiences are gravitating to creators who reflect their core beliefs and lifestyles.

What to do:

  • Identify creators who reflect your audience’s values—not just their interests.
  • Develop long-term collaborations with content flexibility and storytelling freedom.
  • Use niche influencers to lead content that builds emotional resonance, not just reach.

Pinterest Shares Audience Growth Framework

What happened: Pinterest has rolled out a formal guide to growing engaged audiences, emphasizing consistent posting, trend-driven content, and SEO-friendly pins.

Why it matters: Pinterest users are planners with high intent. The platform remains underutilized despite offering low competition and high-conversion potential. With a structured strategy, marketers can unlock traffic that actually drives action.

What to do:

  • Align pin strategy with seasonal search trends and evergreen needs.
  • Mix lifestyle images with product-specific shots to cover intent from inspiration to action.
  • Optimize for both visual appeal and keyword relevance. Titles, descriptions, and image overlays all matter.

Technical SEO and Discovery

If you’re optimizing for visibility, searchability now includes platforms like the App Store, AI tools, and LLMs. August brought new signals to track and new boxes to check.

Apple Adds Keywords To Custom Product Pages

What happened: Apple is bringing more search functionality to the App Store by indexing keywords inside Custom Product Pages (CPPs). Until now, CPPs were primarily used for personalized ad targeting. Now they’re organic content.

Keywords indexted on custom product pages.

Source: 36 KR Europe

Why it matters: This gives mobile marketers a new way to win App Store traffic organically, especially for segmented use cases or campaigns that aren’t covered in your main listing. With the right keyword targeting and design strategy, CPPs can pull double duty, supporting both ASO and ad performance.

What to do:

  • Build CPPs for high-intent search terms that differ from your core app listing.
  • Match each page with distinct creative, copy, and feature callouts.
  • Monitor ASO tools to track keyword ranking lift tied to CPP optimization.

Apple Screenshot Captions Are Now Searchable

What happened: Apple also announced it’s now indexing the text that appears in App Store screenshot captions. That means every piece of visual creative now contributes to your keyword strategy.

Why it matters: Screenshots were already important for conversion. Now they matter for discoverability too. Keyword-rich visuals give Apple more content to crawl and understand—especially for users browsing visually.

What to do:

  • Update screenshot captions to include high-value keywords aligned with user intent.
  • Highlight features, outcomes, and differentiators, not just taglines.
  • Audit global versions of your listings to apply this optimization in all markets.

B2B and Brand Authority

AI tools, platform automation, and saturated SERPs are raising the bar. Authority has to be earned, proven, and distributed consistently. These updates reinforce that your brand’s visibility will hinge on your credibility.

Press Releases as AI Visibility Assets

What happened: Press releases are making a comeback, but not in the way you think. Structured announcements are increasingly picked up by LLMs and surfaced in AI-generated summaries. Tools like Gemini and Perplexity favor the clarity and authority of press releases over less structured blog content.

Why it matters: This gives you a new reason to invest in PR distribution. The right release can now earn brand visibility in traditional news cycles and AI-driven discovery.

What to do:

  • Structure releases with clear headlines, bullet points, and pull quotes.
  • Add schema markup where possible to help LLMs understand context.
  • Syndicate broadly and track pickup using AI monitoring tools.

Twitch Expands Brand Possibilities

What happened: Twitch isn’t just for gamers anymore. More creators in beauty, fitness, lifestyle, and music are building loyal communities through live content.

Why it matters: Twitch combines community, interactivity, and long-form attention, all ingredients for meaningful brand connection.

What to do:

  • Partner with Twitch creators who align with your brand voice.
  • Test live takeovers, product drops, or co-created series.
  • Repurpose livestream highlights into Shorts and Reels.

Conclusion

AI is changing how search works. Platforms are changing how campaigns run. And users are shifting how they discover, evaluate, and engage with brands.

To win in this new era, your strategy needs to evolve:

  • SEO now means “search everywhere” optimization.
  • Visibility is about authority, not just rankings.
  • Attribution is improving, but it’s also fragmenting.
  • Influence is persistent, not just viral.

Want help navigating all of it? Let’s talk about how we can help.

Read more at Read More

Google Ads adds loyalty features to boost shopper retention

Google Shopping Ads - Google Ads

Google is rolling out new loyalty integrations across Google Ads and Merchant Center, giving retailers tools to highlight member-only pricing and shipping benefits to their most valuable customers.

How it works:

  • Personalized annotations display member-only discounts or shipping benefits in both free and paid listings.
  • A new loyalty goal in Google Ads helps retailers optimize budgets toward high-value shoppers, adjusting bids to prioritize lifetime value.
  • Sephora US saw a 20% lift in CTR by surfacing loyalty-tier discounts in personalized ads.

Why we care. With 61% of U.S. adults saying tailored loyalty programs are the most compelling part of a personalized shopping experience (according to Google), retailers face pressure to prove value beyond discounts.

By surfacing member-only perks directly in search and shopping results, retailers can boost engagement from their most valuable customers and optimize spend toward higher lifetime value, not just single conversions. It’s a way to tie loyalty programs directly to ad performance — and win more share of wallet from existing shoppers.

The big picture. Loyalty features are Google’s latest move to keep retail advertisers invested in its ecosystem — positioning search and shopping as not just discovery channels, but retention engines. Expect more details at Google’s Think Retail event on Sept. 10.

Read more at Read More

Historic recurrence in search: Why AI feels familiar and what’s next

Historic recurrence in search- Why AI feels familiar and what’s next

Historic recurrence is the idea that patterns repeat over time, even if the details differ.

In digital marketing, change is the only constant.

Over the last 30 years, we’ve seen nonstop shifts and transformations in platforms and tactics.

Search, social, and mobile have each gone through their own waves of evolution. 

But AI represents something bigger – not just another tactic, but a fundamental shift in how people research, evaluate, and buy products and services.

Estimates vary, but Gartner projects that AI-driven search could account for 25% of search volume by the end of 2026.

I suspect the true share will be much higher as Google weaves AI deeper into its results.

For digital marketers, it can feel like we need a crystal ball to predict what’s next. 

While we don’t have magical foresight, we do have the next best thing: lessons from the past.

This article looks back at the early days of search, how user behavior evolved alongside technology, and what those patterns can teach us as we navigate the AI era.

The early days: Wild and wonderful queries

If you remember the early web – AltaVista, Lycos, Yahoo, Hotbot – search was a free-for-all. 

People typed in long, rambling queries, sometimes entire sentences, other times just a few random words that “felt” right.

There were no search suggestions, no “people also ask,” and no autocorrect. 

It was a simpler time, often summed up as “10 blue links.”

Google Search - 10 blue links

Searchers had to experiment, refine, and iterate on their own, and the variance in query wording was huge.

For marketers, that meant opportunity. 

You could capture traffic in all sorts of unexpected ways simply by having relevant pages indexed.

Back then, SEO was, in large part, about one thing: existing in the index.

Dig deeper: A guide to Google: Origins, history and key moments in search

Google’s rise: From exploration to efficiency

Anyone working in digital marketing in the early 2000s will remember. 

From Day 1, Google felt different. The quality of its results was markedly better.

Then came Google Suggest in 2008, quietly changing the game. 

Suddenly, you didn’t have to finish typing your thought. Google would complete it for you, based on the most common searches.

Research from Moz and others at the time showed that autocomplete reduced query length and variance. 

People defaulted to Google’s suggestions because it was faster and easier.

This marked a significant shift in our behavior as searchers. We moved from sprawling, exploratory queries to shorter, more standardized ones.

It’s not surprising. When something can be achieved with less effort, human nature drives us toward the path of least resistance.

Once again, technology had changed how we search and find information.

Mobile, voice, and the second compression

The shift to mobile accelerated this compression.

Tiny keyboards and on-the-go contexts meant people typed as little as possible.

Autocomplete, voice input, and “search as you type” all encouraged brevity.

At the same time, Google kept rolling out features that answered questions directly, creating a blended, multi-contextual SERP.

The cumulative effect? Search behavior became more predictable and uniform.

For marketers running Google Ads or tracking performance in Google Analytics and Search Console, this shift came with another challenge: less data. 

Long-tail keywords shrank, while most traffic and budget concentrated on a smaller set of high-volume terms.

Once again, our search behavior – and the insights we could glean from it – had evolved.

Zero-click search and the walled garden

By the late 2010s, zero-click searches were on the rise. 

Google – and even social platforms – wanted to keep users inside their ecosystems.

More and more questions were answered directly in the search results. 

Search got smarter, and shorter queries could deliver more refined results thanks to personalization and past interactions.

Google started doing everything for us.

Search for a flight? You’d see Google Flights.

A restaurant? Google Maps. 

A product? Google Shopping. 

Information? YouTube

You get the picture.

For businesses built on organic traffic, this shift was disruptive. 

But for users, it felt seamless – arguably a better experience, even if it created new challenges for optimizers.

Get the newsletter search marketers rely on.


Quality vs. brevity

This shift worked – until it didn’t. 

One common complaint today is that search results feel worse

It’s a complicated issue to unpack. 

  • Have search results actually gotten worse? 
  • Or are the results as good as ever, but the underlying sites have declined in quality?

It’s tricky to call. 

What is certain is that as traffic declined, many sites got more aggressive – adding more ads, more pop-ups, and sneakier lead gen CTAs to squeeze more value from fewer clicks.

The search results themselves have also become a bewildering mix of ads, organic listings, and SERP features. 

To deliver better results from shorter queries, search engines have had to guess at intent while still sending enough clicks to advertisers and publishers to keep the ecosystem running.

And as traffic-starved publishers got more desperate, user experience took a nosedive. 

Anyone who has had to scroll through a food blogger’s life story – while dodging pop-ups and auto-playing ads – just to get to a recipe knows how painful this can be.

It’s this chaotic landscape that, in part, has driven the move to answer engines like ChatGPT and other large language models (LLMs). 

People are simply tired of panning for gold in the search results.

The AI era: From compression back to conversation

Up to this point, the pattern has been clear: the average query length kept getting shorter.

But AI is changing the game again, and the query-length pendulum is now swinging sharply in the opposite direction.

Tools like ChatGPT, Claude, Perplexity, and Google’s own AI Mode are making it normal to type or speak longer, more detailed questions again.

We can now:

  • Ask questions instead of searching for keywords. 
  • Refine queries conversationally. 
  • Ask follow-ups without starting over. 

And as users, we can finally skip the over-optimized lead gen traps that have made the web a worse place overall.

Here’s the key point: we’ve gone from mid-length, varied queries in the early days, to short, refined queries over the last 12 years or so, and now to full, detailed questions in the AI era.

The way we seek information has changed once more.

We’re no longer just searching for sources of information. We’re asking detailed questions to get clear, direct answers.

And as AI becomes more tightly integrated into Google over the coming months and years, this shift will continue to reshape how we search – or, more accurately, how we question – Google.

Dig deeper: SEO in an AI-powered world: What changed in just a year

AI and search: Google playing catch-up

Google was a little behind the AI curve.

ChatGPT launched in late 2022 to massive buzz and unprecedented adoption.

Google’s AI Overviews – frankly underwhelming by comparison – didn’t roll out until mid-2024. 

After launching in the U.S. in mid-June and the U.K. in late July 2025, Google’s full AI Mode is now available in 180 countries and territories around the world.

Now, we can ask more detailed, multi-part questions and get thorough answers – without battling through the lead gen traps that clutter so many websites.

The reality is simple: this is a better system.

This is progress.

Want to know the best way to boil an egg – and whether the process changes for eggs stored in the fridge versus at room temperature? Just ask.

Google will often decide if an AI Overview is helpful and generate it on the fly, considering both parts of your question.

  • What is the best way to boil an egg?
  • Does it differ if they are from the fridge?

The AI Overview answers the question directly. 

And if you want to keep going, you can click the bold “Dive deeper in AI Mode” button to continue the conversation.

Dive deeper in AI Mode

Inside AI Mode, you get streamlined, conversational answers to questions that traditional search could answer – just without the manual trawling or the painfully over-optimized, pop-up-heavy recipe sites.

From shorter queries to shorter journeys

Stepping back, we can see how behavior is shifting – and how it ties to human nature’s tendency to seek the path of least resistance.

The “easy” option used to be entering short queries and wading through an increasingly complex mix of results to find what you needed.

Now, the path of least resistance is to put in a bit more effort upfront – asking a longer, more refined question – and let the AI do the heavy lifting.

A search for the best steak restaurant nearby once meant seven separate queries and reviewing over 100 sites. That’s a lot of donkey work you can now skip.

It’s a subtle shift: slightly more work up front, but a far smoother journey in return.

This change also aligns with a classic computing principle: GIGO – garbage in, garbage out. 

A more refined, context-rich question gives the system better input, which produces a more useful, accurate output.

Historic recurrence: The pattern revealed

Looking back, it’s clear there’s a repeating cycle in how technology shapes search behavior.

The early web (1990s)

  • Behavior: Long, experimental, often clumsy queries.
  • Why: No guidance, poor relevance, and lots of trial-and-error.
  • Marketing lesson: Simply having relevant content was often enough to capture traffic.

Google + Autocomplete (2000s)

  • Behavior: Queries got shorter and more standardized.
  • Why: Google Suggest and smarter algorithms nudged users toward the most common phrases.
  • Marketing lesson: Keyword targeting became more focused, with heavier competition around fewer, high-volume terms.

Mobile and voice era (2010s–early 2020s)

  • Behavior: Even shorter, highly predictable queries.
  • Why: Tiny keyboards, voice assistants, and SERP features that answered questions directly.
  • Marketing lesson: The long tail collapsed into clusters. Zero-click searches rose. Winning visibility meant optimizing for snippets and structured data.

AI conversation era (2023–present)

  • Behavior: Longer, natural-language queries return – now in back-and-forth conversations.
  • Why: Generative AI tools like ChatGPT, Gemini, and Perplexity encourage refinement, context, and multi-step questions.
  • Marketing lesson: It’s no longer about just showing up. It’s about being the best answer – authoritative, helpful, and easy for AI to surface.

Technology drives change

The key takeaway is that technology drives changes in how people ask questions.

And tactically, we’ve come full circle – closer to the early days of search than we’ve been in years.

Despite all the doom and gloom around SEO, there’s real opportunity in the AI era for those who adapt.

What this means for SEO, AEO, LLMO, GEO – and beyond

The environment is changing.

Technology is reshaping how we seek information – and how we expect answers to be delivered.

Traditional search engine results are still important. Don’t abandon conventional SEO.

But now, we also need to optimize for answer engines like ChatGPT, Perplexity, and Google’s AI Mode.

That means developing deeper insight into your customer segments and fully understanding the journey from awareness to interest to conversion. 

  • Talk to your customers. 
  • Run surveys. 
  • Reach out to those who didn’t convert and ask why. 

Then weave those insights into genuinely helpful content that can be found, indexed, and surfaced by the large language models powering these new platforms.

It’s a brave new world – but an incredibly exciting one to be part of.

Read more at Read More

How to tell if Google Ads automation helps or hurts your campaigns

How to tell if Google Ads automation helps or hurts your campaigns

Smart BiddingPerformance Max, and responsive search ads (RSAs) can all deliver efficiency, but only if they’re optimizing for the right signals.

The issue isn’t that automation makes mistakes. It’s that those mistakes compound over time.

Left unchecked, that drift can quietly inflate your CPAs, waste spend, or flood your pipeline with junk leads.

Automation isn’t the enemy, though. The real challenge is knowing when it’s helping and when it’s hurting your campaigns.

Here’s how to tell.

When automation is actually failing

These are cases where automation isn’t just constrained by your inputs. It’s actively pushing performance in the wrong direction.

Performance Max cannibalization

The issue

PMax often prioritizes cheap, easy traffic – especially branded queries or high-intent searches you intended to capture with Search campaigns. 

Even with brand exclusions, Google still serves impressions against brand queries, inflating reported performance and giving the illusion of efficiency. 

On top of that, when PMax and Search campaigns overlap, Google’s auction rules give PMax priority, meaning carefully built Search campaigns can lose impressions they should own.

A clear sign this is happening: if you see Search Lost IS (rank) rising in your Search campaigns while PMax spend increases, it’s likely PMax is siphoning traffic.

Recommendation

Use brand exclusions and negatives in PMax to block queries you want Search to own. 

Segment brand and non-brand campaigns so you can track each cleanly. And to monitor branded traffic specifically, tools like the PMax Brand Traffic Analyzer (by Smarter Ecommerce) can help.

Dig deeper: Performance Max vs. Search campaigns: New data reveals substantial search term overlap

Auto-applied recommendations (AAR) rewriting structure

The issue

AARs can quietly restructure your campaigns without you even noticing. This includes:

  • Adding broad match keywords. 
  • “Upgrading” existing keywords to broader match types.
  • Adding new keywords that are sometimes irrelevant to your targeting.

Google has framed these “optimizations” as efficiency improvements, but the issue is that they can destabilize performance. 

Broad keywords open the door to irrelevant queries, which then can spike CPA and waste budget.

Recommendation

First, opt out of AARs and manually review all recommendations moving forward. 

Second, audit the changes that have already been made by going to Campaigns > Recommendations > Auto Apply > History. 

From there, you can see what change happened on what date, which allows you to go back to your campaign data and see if there are any performance correlations. 

Dig deeper: Top Google Ads recommendations you should always ignore, use, or evaluate

Modeled conversions inflating numbers

The issue

Modeled conversions can climb while real sales or MQLs stay flat. 

For example, you may see a surge in reported leads or purchases in your ads account, but when you look at your CRM, the numbers don’t match up. 

This happens because Google uses modeling to estimate conversions where direct measurement isn’t possible. 

If Google doesn’t have full tracking, it fills gaps by estimating conversions it can’t directly track, based on patterns in observable data. 

When left unchecked, the automation will double down on these patterns (because it assumes they’re correct), wasting budget on traffic that looks good but won’t convert.

Recommendation

Tell the automation what matters most to your business. 

Import offline or qualified conversions (via Enhanced Conversions, manual uploads, or CRM integration). 

This will ensure that Google optimizes for real revenue and not modeled noise.

When automation is boxed in: Reading the signals

Not every warning in Google means automation is failing. 

Sometimes the system is limited by the goals, budget, or inputs you’ve set – and it’s simply flagging that.

These diagnostic signals help you understand when to adjust your setup instead of blaming the algorithm.

Limited statuses (red vs. yellow)

The issue

A Limited status doesn’t always mean your campaign is broken. 

  • If you see a red Limited label, this means your settings are too strict. That could mean that your CPA or ROAS targets are unrealistic, your budget is too low, etc. 
  • Seeing a yellow Limited label is more of a caution sign. It’s usually tied to low volume, limited data, or the campaign is still learning.

Recommendation

If the status is red, loosen constraints gradually: raise your budget and ease up CPA/ROAS targets by 10–15%. 

If the status is yellow, don’t panic. This is Google’s version of telling you that they could use more money, if possible, but it’s not vital to your campaign’s success.

Responsive search ads (RSAs) inputs

The issue

RSAs are built in real-time from the headlines and descriptions you have already provided Google. 

At a minimum, advertisers are required to write 3 headlines with a maximum of 15 (and up to 4 descriptions). The fewer the assets you give the system, the less flexibility it will have. 

On the other hand, if you’re running a small budget and give the RSAs all 15 headlines and 4 descriptions, there is no way Google will be able to collect enough data to figure out which combinations actually work.

The automation isn’t failing with either. You’ve either given it too little information or too much with too little spending. 

Recommendation

Match asset volume to the budget allocated to the campaign. 

  • If you’re unsure, aim to write between 8-10 headlines and 2-4 descriptions.
  • If each headline/description isn’t distinct, don’t use it. 

Conversion reporting lag and attribution issues

The issue

Sometimes, Google Ads reports fewer conversions than your business actually sees. 

This isn’t necessarily an automation failure. It’s often just a matter of when the conversion is counted. 

By default, Google reports conversions on the day of the click, not the day the actual conversion happened. 

That means if you check performance mid-week, you might see fewer conversions than your campaign has actually generated because Google attributes them back to the click date. 

The data usually “catches up” as lagging conversions are processed.

Recommendation

Use the Conversions (by conversion time) column alongside the standard conversion column.

Conversions (by conversion time) column

This helps you separate true performance drops from simple reporting delays. 

If discrepancies persist beyond a few days, investigate the tracking setup or import accuracy. Just don’t assume automation is broken just because of timing gaps.

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Where to look in the Google Ads UI

Automation leaves a clear trail within Google Ads if you know where to look. 

Here are some reports and columns to help spot when automation is drifting.

Bid Strategy report: Top signals 

The issue

The bid strategy report shows some of the signals Smart Bidding relies on when there is enough data. 

The “top signals” can sometimes make sense, and at other times, they can be a bit misleading. 

If the algorithm relies on weak signals (e.g., broad search themes and a lack of first-party data), its optimizations will be weak, too.

Bid Strategy report: Top signals 

Recommendation

Make checking your Top Signals a regular activity. 

If they don’t align with your business, fix the inputs. 

  • Improve conversion tracking.
  • Import offline conversions.
  • Reevaluate search themes.
  • Add customer/remarketing lists.
  • Expand your negative keyword list(s). 

Impression share metrics

The issue

When a campaign underdelivers, it’s tempting to assume automation is failing, but looking at Impression Share (IS) metrics tends to reveal the real bottleneck. 

By looking at Search Lost IS (budget), Search Lost IS (rank), and Absolute Top IS together, you can separate automation problems from structural or competitive ones.

How to use IS metrics as a diagnostic tool.

  • Budget problem
    • High Lost IS (budget) + low Lost IS (rank): Your campaign isn’t struggling. It just doesn’t have enough budget to run properly.
    • Recommendation: Raise the budget or accept capped volume.
  • Targets too aggressive
    • High Lost IS (rank) + low Absolute Top IS: If your Lost IS (rank) is high and your budget is adequate, your CPA/ROAS targets are likely too aggressive, causing Smart Bidding to underbid in auctions.
    • Recommendation: Loosen targets gradually (10-15%).

Scripts to keep automation honest

Scripts give you early warnings so you can step in before wasted spend piles up.

Anomaly detection

  • The issue: Automation can suddenly overspend or underspend when conditions in the marketplace change, but you often won’t notice until reporting lags.
  • Recommendation: Use an anomaly detection script to flag unusual swings in spend, clicks, or conversions so you can investigate quickly.

Query quality (N-gram analysis)

  • The issue: Broad match and PMax can drift into irrelevant themes (“free,” “jobs,” “definition”), wasting budget on low-quality queries.
  • Recommendation: Run an N-gram script to surface recurring poor-quality terms and add them as negatives before automation optimizes toward them.

Budget pacing

  • The issue: Google won’t exceed your monthly cap, but daily spend will be uneven. Pacing scripts help you spot front-loading.
  • Recommendation: A pacing script shows you how spend is distributed so you can adjust daily budgets mid-month or hold back funds when performance is weak.

Turning automation into an asset

Automation rarely fails in dramatic ways – it drifts. 

Your job isn’t to fight it, but to supervise it: 

  • Supply the right signals.
  • Track when it goes off course.
  • Step in before wasted spend compounds.

The diagnostics we covered – impression share, attribution checks, PMax insights, and scripts – help you separate real failures from cases where automation is simply following your inputs.

The key takeaway: automation is powerful, but not self-policing. 

With the right guardrails and oversight, it becomes an asset instead of a liability.

Read more at Read More

Global expansion and hyperlocal focus redefine the next chapter of retail media networks by DoorDash

Retail media networks are projected to be worth $179.5 billion by 2025, but capturing share and achieving long-term success won’t hinge solely on growing their customer base. With over 200 retail media networks now competing for advertiser attention, the landscape has become increasingly complex and crowded. The RMNs that stand out will be those taking a differentiated approach to meeting the evolving needs of advertisers.

The industry’s concentration creates interesting dynamics. While some platforms have achieved significant scale, nearly 70% of RMN buyers cite “complexity in the buying process” as their biggest obstacle. That tension, between explosive growth and operational complexity, is forcing the industry to evolve beyond traditional approaches.

As the landscape matures, which strategies will define the next wave of growth: global expansion, hyperlocal targeting, or both?

The evolution of retail media platforms

To understand where the industry is heading, it’s worth examining how successful platforms are addressing advertisers’ core challenges. Lack of measurement standards across platforms continues to frustrate advertisers who want to compare performance across networks. Manual processes dominate smaller networks, making campaign management inefficient and time-consuming.

At the same time, most retailers lack the digital footprint necessary for standalone success. This has created opportunities for platforms that can solve multiple problems simultaneously: standardization, automation, and scale.

DoorDash represents an interesting case study in this evolution. The platform has built its advertising capabilities around reaching consumers at their moment of local need across multiple categories. With more than 42 million monthly active consumers as of December 2024, DoorDash provides scale and access to high-intent shoppers across various categories spanning restaurants, groceries and retail.

The company’s approach demonstrates how platforms can address advertiser pain points through technology. DoorDash’s recent platform announcement showcases this evolution: the company now serves advertisers with new AI-powered tools and expanded capabilities. Through its acquisition of ad tech platform Symbiosys, a next-generation retail media platform, brands can expand their reach into digital channels, such as search, social, and display, and retailers can extend the breadth of their retail media networks.

Global expansion meets local precision

International expansion presents both opportunities and challenges for retail media networks. Europe’s retail media industry is projected to surpass €31 billion by 2028,. This creates opportunities for networks that can solve the technology puzzle of operating across multiple geographies.

The challenge lies in building platforms that work seamlessly across countries while maintaining local relevance. International expansion requires handling different currencies, regulations, and cultural contexts—capabilities that many networks struggle to develop.

DoorDash’s acquisition of Wolt illustrates how platforms can achieve global scale while maintaining local connections. The integration enables brands to manage campaigns across Europe and the U.S. through a single interface—exactly the kind of operational efficiency that overwhelmed advertisers seek.

The combined entity now operates across more than 30 countries, with DoorDash and Wolt Ads crossing an annualized advertising revenue run rate of more than $1 billion in 2024. What makes this expansion compelling isn’t just the scale—it’s how the integration maintains neighborhood-level precision across diverse geographies.

Wolt has transformed from a food delivery platform into what it describes as a multi-category “shopping mall in people’s pockets.”

The hyperlocal advantage: context beats demographics

Here’s what’s really changing the game: the shift from demographic targeting to contextual precision. Privacy regulations favor contextual targeting over behavioral tracking, but that’s not the only reason smart networks are going hyperlocal.

Location-based intent signals provide dramatically higher conversion probability than traditional demographics. Real-time contextual data—weather patterns, local events, proximity to fulfillment—influences purchase decisions in immediate, actionable ways that broad demographic targeting simply can’t match.

DoorDash built its entire advertising model around this insight, reaching consumers at the exact moment of local need across multiple categories. The platform provides scale and access to high-intent shoppers with contextual precision. A recent innovation that exemplifies this approach is Dayparting for CPG brands, which enables advertisers to target users in their local time zones—a level of time-based precision that distinguishes hyperlocal platforms from broader retail media networks.

In one example, Unilever applied Dayparting to focus on late-night and weekend windows for its ice cream campaigns, aligning ad delivery with peak demand periods. Over a two-week period, 77% of attributed sales were new-to-brand, demonstrating the power of contextual timing in driving incremental reach.

Major brands, including Unilever, Coca-Cola, and Heineken, utilize both DoorDash and Wolt platforms for hyperlocal targeting, proving the model is effective for both endemic and non-endemic advertisers seeking neighborhood-level precision.

Technology evolution: measurement and automation

The technical requirements for next-generation retail media networks extend far beyond basic advertising capabilities. Self-serve functionality has become standard for international geographies—not because it’s trendy, but because manual campaign management doesn’t scale across dozens of countries with different currencies, regulations, and cultural contexts.

Cross-country campaign management requires unified dashboards that manage complexity while maintaining simplicity for advertisers. Automation isn’t optional anymore; it’s necessary to compete with established players who’ve built machine learning into their core operations.

But here’s what’s really transforming measurement: new attribution methodologies that go beyond traditional ROAS. When platforms can integrate fulfillment data with advertising exposure, they enable real-time performance tracking that connects ad spend to actual business outcomes rather than just clicks and impressions.

Progress on standardization continues through IAB guidelines addressing measurement consistency, alongside industry pushes for technical integration standards. The challenge lies in balancing standardization with differentiation—networks need to offer easy integration and consistent measurement while maintaining unique value propositions.

In a move toward addressing advertisers’ need for measurement consistency, DoorDash recognized that restaurant brands valued both click and impression-based attribution for their sponsored listing ads, and recently introduced impression-based attribution and reporting in Ads Manager. This has enabled restaurant brands to gain a deeper understanding of performance and results driven on DoorDash.

Global technology challenges add another layer of complexity: multi-currency transactions, local payment methods, regulatory compliance across countries, and cultural adaptation while maintaining platform consistency. These aren’t afterthoughts for international platforms, they’re core competencies that determine success or failure.

Industry outlook: consolidation and opportunity

Retail media is heading toward consolidation, but not in the way most people expect. Hyperlocal networks are positioned to capture share from undifferentiated RMNs that compete solely on inventory volume. Geographic specialization is becoming a viable alternative to traditional scale-focused approaches.

Simultaneously, community impact measurement is gaining importance for brand strategy. Marketers are discovering that advertising dollars spent on local commerce platforms create multiplier effects—supporting neighborhood businesses and strengthening local economies in ways that traditional e-commerce advertising doesn’t achieve.

The networks that understand this dynamic, that can offer global platform capabilities with genuine local industry expertise, are the ones positioned to define retail media’s next chapter. Success requires technology integration that enables contextual and location-based targeting, plus measurement solutions that prove incrementality beyond traditional metrics.

The path forward

As retail media networks mature, success lies not in choosing between global scale and local relevance, but in achieving both simultaneously. The DoorDash-Wolt combination provides a compelling blueprint, demonstrating how technology platforms can enable international expansion while deepening neighborhood-level connections.

For marketers navigating this evolution, the fundamental question shifts from “where should we advertise?” to “how can we reach consumers at their moment of need?” Networks that answer this effectively—through global reach, hyperlocal precision, or ideally both, will write retail media’s next chapter.Interested to learn more about DoorDash Ads? Get started today.

Read more at Read More

Google Ads expands PMax Channel Reporting to account level

Your guide to Google Ads Smart Bidding

Performance Max (PMax) advertisers just got a major visibility upgrade: Channel Reporting is now available at the account level, not just within individual campaigns.

How it works:

  • View and compare all PMax campaigns in a single reporting overview.
  • Segment by conversion metrics to understand what’s driving results.
  • Identify performance patterns across channels without jumping campaign to campaign.

Why we care. Until now, channel performance data was siloed within each PMax campaign. The new account-level reporting makes it easier to spot trends, compare results, and optimize across campaigns.

The big picture. Google notes that channel data is available for PMax campaigns “at this time” — a phrasing that suggests the feature could expand to other campaign types down the road.

Bottom line. More visibility, less friction. This change gives advertisers a faster, more complete view of PMax performance — and hints at broader reporting upgrades ahead.

First seen. This update was first picked up by Jun von Matt IMPACT’s Head of Google Ads, Thomas Eccel.

Read more at Read More

The future of remarketing? Microsoft bets on impressions, not clicks

The future of remarketing? Microsoft bets on impressions, not clicks

There’s a shift happening in digital advertising. 

For years, remarketing hinged on clicks: someone had to visit your site, trigger a pixel, and leave behind a trail you could follow with ads. 

But what if you could build your remarketing audience before they ever click?

That is the core promise of impression-based remarketing – a Microsoft Advertising-exclusive capability that lets advertisers build audiences (or exclusions) simply from users seeing their ads. 

No click. No form fill. Just an impression.

In a world of privacy shifts, AI-driven search, and fractured attention spans, this approach may not just be a nice-to-have – it could be the future.

(Disclosure: I work as Microsoft’s product liaison, and the perspectives shared here reflect my role inside Microsoft Advertising.)

What is impression-based remarketing? 

Impression-based remarketing is Microsoft Advertising’s super-powered audience targeting method. 

Instead of waiting for a user to take an action such as visiting your site, it lets you track and segment audiences based solely on ad visibility. 

Here is how it works in plain terms: 

If your ad is displayed on Bing search results, native placements, Copilot, or other Microsoft inventory, the person who saw it can be added to a remarketing list. 

That list can then be used for targeting, exclusions, or bid adjustments across eligible campaigns. 

Key operational details: 

  • You can define up to 20 sources (campaigns or ad groups that feed your remarketing lists). 
  • The audience membership window can be 1-30 days (seven days is often the sweet spot for balancing awareness and consumer sentiment). 
  • Any campaign type can be a source, but not all can be a target. For example, Premium streaming can feed lists but cannot be targeted directly. 
  • Emerging surfaces like Copilot impressions are eligible as both sources and targets, though granular reporting is not yet fully available. To clarify, only Showroom ads (currently in closed beta) can specifically target Copilot placements. 
  • If you use autobidding, Microsoft’s system will factor in your bid adjustments, meaning a +20% bid really will raise CPC or CPM. 

In short, it is the ability to remarket to people who have only seen your ad, which opens up a broader, top-of-funnel opportunity while respecting the growing limitations on tracking. 

Dig deeper: Microsoft Advertising expands remarketing list sources to 20 campaigns

How to use it – functionally and strategically 

Think of impression-based remarketing in two phases: 

  • Functional setup: The technical nuts and bolts. 
  • Strategic execution: Deciding which campaigns feed the lists, which campaigns target them, and what creative to use. 
Microsoft Ads impression-based remarketing - How to use it – functionally and strategically

Functional setup 

  • Build your audience lists
    • Identify the campaigns or ad groups that will act as sources. 
    • These are the ads whose impressions will populate your lists. 
  • Create associations
    • Associate your sources with the target campaigns where you will use the audiences for targeting, exclusions, or bid adjustments. 
    • At least one audience ad must be in your associations to make all campaign types eligible to target. 
  • Decide on membership duration
    • Seven days is often ideal to balance recency with volume, but your industry’s buying cycle may warrant shorter or longer windows. 
  • Layer on bid strategies
    • Keep in mind that bid adjustments impact CPC or CPM directly under auto-bidding. 
Microsoft Ads impression-based remarketing - Functional setup

Strategic execution 

This is where impression-based remarketing can go from “neat” to “needle-moving.” 

Empathize with the customer journey 

A first-time viewer is not ready for the same message as a warm lead. 

The most common mistake in Impression-based remarketing is running the same creative to people regardless of where they are in the funnel. 

For example: 

  • Cold audience (first exposure): Focus on brand awareness and curiosity hooks. 
  • Warm audience (saw an ad, maybe interacted with other brand assets): Lean into unique value propositions and proof points. 
  • Hot audience (familiar, showing intent signals): Shift toward urgency, offers, or clear conversion CTAs. 

Tailor messaging to decision-makers vs. influencers 

Not all buyers are the same. In B2B, especially, the person seeing your ad may not be the one signing the check. 

  • Decision-maker personas respond to concrete ROI, cost, terms, and support benefits. 
  • Influencer personas, those who need to convince the buyer, often respond better to emotional appeals, user stories, or tips on how to get leadership buy-in. 

Use micro-steps in the buyer’s journey 

Since the trigger is just an impression, do not assume you can skip stages. 

Instead of expecting someone to leap from “saw ad” to “buy,” map out micro-conversions: 

  • Move from awareness to engagement (click, video view). 
  • From engagement to consideration (content download, add to cart). 
  • From consideration to decision (purchase, sign-up). 

Sometimes this means setting ad groups, not just campaigns, as your sources and targets to allow for precise audience control.

Budget with conversion thresholds in mind 

If your targeting is too narrow, you might never gather enough impressions to reach performance significance.

Budgets should align with the audience sizes needed to meet your conversion goals.

Microsoft Ads impression-based remarketing - Strategic execution

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Why impressions are the future 

The shift to impression-based remarketing is not just about Microsoft offering a new targeting lever. 

It’s about survival in a rapidly changing ecosystem. 

1. Privacy is rewriting the rules 

With cookie deprecation, consent restrictions, and stricter data privacy laws, the reliable, click-based remarketing audiences of the past are disappearing. 

An impression, recorded server-side, does not rely on a user’s browser for tracking, making it a more resilient signal. 

2. AI-powered search changes user behavior 

As conversational AI like Microsoft Copilot, ChatGPT, and other assistants take center stage, the traditional search journey (“type query → click site → take action”) is being replaced. 

In many cases, users will get answers without ever clicking a link. 

This means advertisers must reach and influence people before they click, or even without them clicking at all. 

Dig deeper: How Microsoft Ads compares to Google Ads and when to use it

3. Sentiment and recall become the new metrics 

The old metrics, such as CTR, do not tell the whole story when much of the journey happens off-site. 

The future winners will be brands that: 

  • Create memorable touchpoints. 
  • Build positive sentiment before a user enters the buying stage. 
  • Stay top-of-mind when the moment of need arises. 

Impression-based remarketing allows you to intentionally re-engage based on visibility alone, which aligns perfectly with these goals. 

4. Redeeming undervalued placements 

Historically, advertisers have excluded certain placements, such as mobile games or sites with high ad density, because they seemed “low quality” in a click-through world. 

Those same environments can be very effective for brand imprinting. 

The user might not click in the moment, but repeated impressions in familiar contexts can drive recall later. 

Impression-based remarketing allows you to capitalize on these “slow burn” touches without overvaluing accidental clicks.  

Takeaways for advertisers 

If you are planning campaigns for the holiday season or for the AI-driven world we are already stepping into, here is the checklist to make impression-based remarketing work for you: 

  • Set it up now
    • Build your sources and associations. 
    • Keep the target list broad, but be selective with your sources. 
  • Map the journey
    • Identify what someone needs to see first, second, and third. 
    • Create dedicated creative for each stage. 
  • Respect personas
    • Decision-makers and influencers need different messaging. 
    • Avoid “one size fits all” creative blasts. 
  • Budget for volume and thresholds
    • Without enough impressions, your targeting power fades. 
    • Ensure campaigns have enough spend to feed the machine. 
  • Think beyond clicks
    • Use impression-based lists to drive brand familiarity, not just immediate conversions. 
    • Measure impact with recall and sentiment studies where possible. 

Impression-based remarketing: From feature to future

Impression-based remarketing is not just another targeting option. 

It is a structural shift in how advertisers can build relationships with their audiences. 

In a clickless, AI-mediated future, it lets you control the who and when of your targeting, even if the how of user interaction changes completely. 

Microsoft might have positioned it as a feature, but for savvy advertisers, it is a competitive moat. 

Dig deeper: How to maximize your Google Ads remarketing campaigns

Read more at Read More

Journalist Outreach: How to Earn High-Authority Links in 9 Steps

Want backlinks from Forbes, HubSpot, or Insider? Without paying a cent?

Journalist outreach is how you do it.

And in 2025, it’s still one of the most effective ways to earn authority links that actually move the needle.

We also run Traffic Think Tank, and we used this tactic to 10x visibility and revenue in the past year.

Domain Overview – TTT – Organic Traffic & Keywords

And built our authority in the increasingly important AI / LLM ecosystem:

AI Strategic Insights – TTT

This guide was created with insights from the team at Jolly SEO — the pros behind thousands of earned media wins.

Plus, we’re including our free Journalist Outreach Toolkit to help you implement everything immediately.

In this post, you’ll learn how to:

  • Manage the overwhelming flow of media requests
  • Write pitches journalists actually use
  • Earn backlinks that boost rankings and trust
  • Track ROI and prove value to stakeholders

Let’s break it down.

Step 1: Define Your Goals

If you don’t know what success looks like, you’ll waste time chasing the wrong wins.

Before you write a single pitch, get clear on what your business needs from journalist outreach.

Are you after stronger SEO performance? Brand visibility? Long-term relationships with the media?

Your goals will shape everything — from the platforms you prioritize to how you evaluate results.

Goal What to Prioritize Why It Matters What to Do
SEO Results – Dofollow links
– DR 40+ sites (Domain Rating similar to Semrush’s Authority Score)
– Relevant anchor text
These links pass authority and help improve rankings — essential if organic growth is your focus. -Target niche queries on platforms like HARO or Qwoted
-Use keyword-aligned quotes
-Track DRs
Brand Visibility – Top-tier publication mentions
– Branded search lift
– Repurposable social proof
Coverage builds trust and legitimacy — even without links — and can drive branded search or leads. -Prioritize name-brand publications
-Craft quotable insights tied to your expertise
-Reshare wins
Relationships – Repeat contributions
– Off-platform journalist invites
– Helpful follow-ups
Trusted contributors get invited back and land bigger features faster. -Send thank-yous
-Offer value beyond the pitch
-Track warm journalist relationships in a simple CRM

For instance, let’s say you’re a B2B SaaS marketer trying to rank a key feature page.

Look for HARO or Qwoted queries where the topic aligns with the problem your product solves.

If you can offer a helpful, relevant perspective — one that happens to mention your company or approach — that’s a win. Even if the link doesn’t show up right away.

The bottom line?
When you know what wins you’re aiming for, you’re far more likely to hit them.

Greg Heilers, co-founder of Jolly SEO, puts it simply:

“Depending on your criteria, writing skill, and site/figurehead optimization, you can achieve a win as frequently as 1 in every 3 pitches.”


Step 2: Establish Realistic Expectations (This Will Save Your Sanity)

Most people give up on journalist outreach too soon.

Not because the tactic doesn’t work — but because their expectations are wildly off.

They expect quick wins, a high response rate, and instant SEO impact.

The reality is slower, less glamorous, and a lot more sustainable if you approach it with the right mindset.

Typical Success Rates (and What to Expect Over Time)

Even top-tier media outreach experts don’t land every pitch.

For beginners, a 3–5% response rate is normal. As you gain experience, that can climb to 8–12%, and with refined systems and strong positioning, 15–20% is achievable.

That means you might need to send 10–30 pitches just to earn one mention.

This isn’t failure — it’s the math behind consistent results.

So, what does that actually look like over time?

  • Month 1: You’re learning the workflow. Scanning opportunities, testing your messaging, and getting familiar with the process. Landing even one or two mentions is a meaningful start.
  • Month 3: You start to see patterns. Which types of queries are worth your time. Which angles tend to get picked up. You might even get quoted by the same journalist twice.
  • Month 6: You have momentum. Pitches get easier. You might even start getting inbound requests from writers who’ve seen your previous contributions.

The payoff builds slowly — but it compounds.

Beyond the byline: Search is evolving fast. Journalist quotes are now surfacing in tools like ChatGPT, Perplexity, and Claude. If you’re featured in a top-tier article, there’s a real chance your name, company, or insight will show up in AI-generated answers.


Why Most Pitches Fail (And It’s Not Your Fault)

The biggest myth in journalist outreach is that great writing is enough.

Spoiler: It’s not.

Journalists get dozens — sometimes hundreds — of pitches for a single request.

Many already have sources in mind.

Others are on tight deadlines and go with the first relevant response they see. If your pitch arrives an hour late, it might not get opened at all.

This doesn’t mean your pitch was bad. It means timing and fit beat polish more often than not.

Step 3: Set Up Your Inbox and Tracking

The fastest way to burn out in journalist outreach?

Drowning in irrelevant pitches, deadlines you’ll never meet, and inbox chaos.

Gmail – Inbox chaos

Here’s the good news: A few quick workflows can save you hours a week and help you stay consistent over time.

Make Your Emails Credible at a Glance

Journalists scan dozens of emails a day, and first impressions matter.

A polished inbox setup instantly signals trust and professionalism.

Include:

  • Branded email address: Avoid generic Gmail accounts when possible. Use a domain-linked email to show legitimacy.
  • Uploaded headshot: Many platforms now require it
  • Branded signature: Add your name, title, company, LinkedIn, and a link to your website. Make it easy for journalists to verify who you are.

    Branded Signature – Leigh

You don’t need a huge platform. You just need to look like someone worth quoting.

Build a Simple Filtering System

Start by organizing your inbox to reduce the cognitive load.

Create folders or labels by platform (e.g., “HARO Outreach”), and add filters to automatically route incoming queries.

Gmail – Create New label

Then, block off 15-minute review windows, no more than three times a day.

You don’t need to monitor your inbox all day — just be consistent.

Use the “5-second scan” rule: if it’s not clearly relevant within a few seconds, archive and move on.

Use Fast, Practical Qualification Criteria

Not every opportunity is worth your time — and trying to pitch everything will tank your efficiency.

For each request, ask:

  • Is this in my area of expertise? If not, don’t force a fit. Weak relevance leads to ignored pitches.
  • Do I meet the specific requirements? Many queries ask for certain job titles or credentials. Skip it if you’re not eligible.
  • Is the deadline realistic? If you can’t hit the cutoff, don’t let it clog your pipeline.
  • Is the publication worth your time? Not every outlet will align with your goals. Use your win criteria (from Step 1) to filter.

For instance, if you’re a freelance content strategist, a request asking for insights from “Fortune 500 CEOs” is a clear pass.

Save your effort for a request that matches your actual experience.

Step 4: Choose Your Platforms Strategically

Not all journalist outreach platforms are created equal.

Some are great for quick wins. Others shine when you’re targeting high-authority publications or niche audiences.

The key isn’t choosing the platform with the most opportunities — it’s choosing the one that aligns with your actual goals.

That means considering more than just volume.

You’ll want to look at average link quality, pitch-to-publication turnaround, cost, and whether the requests match your expertise.

Note: We’re gathering updated data on additional platforms like Qwoted and will expand this comparison in future updates.
Platform Best For Avg DR Cost Turnaround
Featured Easy wins, building confidence 70 Free/Paid 23 days
Help a B2B Writer B2B content, SaaS brands 73 Free 44 days
ProfNet Premium publications 79 Paid 39 days
HARO Broad topics 76 Free/Paid 37 days
Source of Sources Niche expertise 81 Free 35 days

Don’t feel like you need to master every platform out of the gate.

Start with one or two that align with your goals, get really good at using them, and expand once your workflow is dialed in.

How to Choose the Right Platform (Fast)

Not sure where to start? Think of this as your cheat sheet for getting started.

  • Just getting your reps in? Start with Featured — it’s simple, fast, and great for building confidence early.
  • Need high-authority links that actually move rankings? Go with Qwoted — it consistently surfaces high domain rating (DR) opportunities from recognizable media outlets.
  • Want placements in premium, name-brand publications? Choose ProfNet — fewer opportunities, but often higher caliber if you have the budget.
  • Targeting marketers, founders, or SaaS buyers? Help a B2B Writer delivers curated, niche-relevant requests in your exact lane.
  • Need a high volume of relevant opportunities to work with? Source of Sources gives you a steady stream of niche pitches — just be ready to filter.
  • Looking for general-topic visibility at scale? HARO still delivers breadth and quantity — just expect to dig for quality.

Looking for country-specific platforms?

Many regions have their own journalist request tools worth exploring. For example, SourceBottle is widely used in Australia, and ResponseSource is popular among PR pros and journalists in the U.K.

Just try a quick Google search like “journalist request platform [your country].”

You’ll usually uncover a few local options — no massive directory needed.

Google SERP – Journalist request platform Australia

Step 5: Write Pitches That Win (Without Taking Forever)

The best pitches don’t win because they’re long or clever.

They win because they’re skimmable, useful, and immediately quotable.

Your job isn’t to impress the journalist — it’s to make their job easier.

Establish Credibility in 8 Words or Less

Start with a strong subject line. Greg emphasizes combining relevance with instant credibility.

Use this structure:

Subject line formula: [Your credentials] + [specific value] + [topic]


Examples:

  • SaaS CEO’s Take on Fixing Churn
  • SEO Consultant’s Local Link Playbook
  • Copywriter’s Formula for High-Converting Headlines

Then, build your pitch. It should look something like this:

Pro tip: AI tools can help you brainstorm angles — but the final quotes should sound human, specific, and ready to publish. Use AI for speed, not substitution.


Make Your Quotes Instantly Usable

Journalists aren’t grading your writing.

They’re looking for clean, usable quotes they can drop straight into a draft.

As Greg puts it:

“Journalists want quotes they can immediately copy and paste into their articles, no changes needed.”


Here’s how to make that happen:

Pitch Like a Pro

Pro tip: For the full checklist — and why each step matters — use the Pitch Checklist tab in our journalist outreach toolkit.


Not all pitches are created equal.

Here’s what gets picked up — and what gets ignored.

❌ Bloated, vague, and completely unusable:

Email – Bloated & unusable

Clear, specific, and quote-ready:

Email – Clear & specific

Pitch Faster Without Losing Quality

Greg recommends prewriting as much as possible so you’re never starting your press outreach from scratch.

Have 3–4 versions of your bio ready to go, tailored for different beats (e.g., SaaS, marketing, AI).

Build a few quote templates for your most common talking points. And give yourself a hard limit: Aim to finish each pitch in 10 minutes or less.

The more reps you get, the easier this becomes.

Don’t forget your first line does heavy lifting. It shows up in inbox previews and often determines whether your pitch even gets opened. Make it count.

Caveat: Structure helps, but sameness kills. AI tools and mass pitching have flooded inboxes with lookalike answers. Don’t just fill in a template — say something only you would say. That’s what gets quoted.


Yes, You’re Qualified. Here’s Why.

One of the biggest blockers in journalist outreach? Thinking you’re not “qualified” to respond.

But here’s the truth: You don’t need a blue checkmark or a book deal to be helpful.

If you can help readers understand something better or offer a useful perspective, you’re already ahead.

Credibility doesn’t mean status. It means relevance.

That could be your job title, your years of experience, a client result, or just a smart way of framing the problem.

When in doubt, try this five-part framework to surface story ideas from your own work:

  • The situation: What were you working on?
  • The challenge: What made it tricky?
  • Your approach: What did you try or test?
  • The result: What changed? What worked?
  • The insight: What do you wish you’d known earlier?

The bottom line?

If you’ve solved what they’re writing about, you belong in their inbox.

Step 6: Master the Follow-Up (Without Being Annoying)

It’s tempting to send a pitch and move on.

But following up is one of the easiest ways to multiply the value of your efforts.

It’s low-effort, high-return, and totally underused.

The key is to keep it respectful, useful, and brief. Here’s how to do it without sounding pushy.

Turn Mentions Into Links

Let’s say you’ve been quoted but not linked.

Here’s a simple, polite ask that turns visibility into real SEO value:

Turn Replies Into Relationships

The journalists who quote you today could become recurring collaborators — if you give them a reason to remember you.

Done right, a follow-up turns one good pitch into long-term visibility, stronger links, and a journalist who might actually remember your name.

Step 7: Find Hidden Wins (Most People Miss These)

You might already be getting results — and not even know it.

At Jolly SEO, Greg sees it constantly.

“People message me and say, ‘I’ve sent dozens of pitches, but I can’t get any wins. What am I doing wrong?’

My first question is always: ‘Have you tried looking for them yet?’”


The good news?

You don’t need expensive tools or a manual content audit. A few smart searches and a weekly routine are all it takes.

Use Google Search Operators

Advanced search syntax lets you find live mentions with precision. Run these searches weekly to uncover wins:

  • “Your Name” + “Your Brand Name”
  • “CEO of [Brand]” site:targetpublication.com
  • “[Your unique quote]” site:[domain]

Use quotes to force exact matches and ”site:” to limit the search to specific outlets.

Set Up Google Alerts

Track new mentions passively by creating alerts for:

  • Your name + company
  • Your job title (e.g., “CMO of Backlinko”)
  • Distinctive quotes or phrasing you tend to use

Google Alerts – Leigh McKenzie Backlinko

This won’t catch everything, but it will help surface a steady stream of new wins.

Manual Checking Schedule

Most people stop after they hit “send.”

But Greg estimates you’ll never be told about 90% of your wins.

So if you don’t go looking, you’ll never even know they happened.

Build a simple check-in routine:

  • Weekly: Run your branded Google searches
  • Monthly: Review recent articles from journalists you’ve pitched
  • Quarterly: Use SEO tools (like Ahrefs or Semrush) to spot backlinks or citations

Google SERP – Leigh McKenzie Backlinko

Pro tip: Use the Win Finder (in the toolkit) to uncover hidden mentions.


Step 8: Build Your Journalist Network

Every pitch is more than a one-time shot at a link — it’s the start of a potential relationship.

If a journalist quotes you once, there’s a good chance they’ll want insights from you again.

But only if you make it easy, relevant, and respectful to stay in touch.

Track Relationships Like You Track Links

Use a simple CRM (even a spreadsheet works) to track journalist contacts the same way you’d track sales prospects:

  • Name + outlet
  • Contact info + beat
  • History (quoted, linked, mentioned)
  • Relationship stage (cold, warm, repeat, advocate)
  • Last contact date + next follow-up

Journalist Outreach Toolkit by Backlinko

If you’ve contributed to multiple stories or gotten links from the same writer, mark them as high-priority for future outreach. These are your warmest leads.

Build Trust Without Pitching

You don’t need a quote request to stay visible.

In fact, the best relationship-building moments often happen when you’re not asking for anything.

Promote their articles on social with a thoughtful comment — not just a tag. If you come across a story angle or source that fits their beat, send it their way.

If they mentioned a topic they’re covering next month, follow up. Even better: introduce them to another trusted source in your network.

These small, useful gestures build familiarity over time.

That’s how you become more than a random inbox name. You move from pitching to being pitched.

Pro tip: Use our Outreach CRM Tracker (in the toolkit) to start tracking pitches and wins instantly.


Step 9: Measure and Prove ROI

If you’re investing time, you need to show what it’s worth — to your team, your stakeholders, or your clients.

That means going beyond raw link counts and telling the full story of impact.

Track What Matters

Link counts are a starting point, but they’re not the whole picture.

Look at which platforms consistently deliver wins, how many hours go into each link, and which journalists become repeat collaborators.

Track your mentions, even when there’s no link.

Watch for traffic spikes after a story goes live, and pay attention to whether rankings improve on pages earning coverage.

For example, if a single article mention leads to a 12% lift in branded search and earns a backlink to your pricing page, that’s clear momentum.

When you combine reach, effort, and outcome, you start to see the full return.

Use a Simple ROI Framework

When you need to quantify results for stakeholders, use this basic formula to translate time and effort into value:

Link Value = (Average link cost in your industry) × (number of links)

Time Investment = (Hours spent) × (Your hourly rate)

ROI = (Total link value – Time investment) / Time investment × 100


For example:

You earned five links in a month — all from DR 70+ publications.

Let’s say the average market cost for that caliber of link is $800, and you assign a DR adjustment factor of 1 (used to reflect link quality; 1.0 = solid, relevant fit):

Link value: $800 (avg. link cost) x 5 links = $4,000

Time investment: 12 hours × $100/hr = $1,200

ROI: ($4,000 – $1,200) / $1,200 × 100 = 233%

Now compare that to sponsored content, digital PR retainers, or even PPC — and suddenly, this starts looking like a serious channel.

Build a Stakeholder-Ready Report

The final piece is packaging your results in a way that stakeholders understand and care about.

Keep it simple, visual, and focused on outcomes:

  • A summary of links earned by domain authority range
  • Growth in brand mentions across media and social
  • Traffic lift or ranking movement tied to earned placements
  • Estimated link value compared to paid alternatives
  • A standout example or case study from that month

When stakeholders can see the momentum — not just the metrics — they’re far more likely to stay bought in.

Start Earning Links That Actually Matter

You’ve got everything you need to get started. Now, it’s time to make your move.

Write a pitch today. Just one.

Don’t overthink it.

Grab the Journalist Outreach Toolkit, find a real query, and put your perspective to work.

Then, send it — and give yourself a shot at a win most people never even try for.

The post Journalist Outreach: How to Earn High-Authority Links in 9 Steps appeared first on Backlinko.

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Google finally gives visibility into Search Partner Network placements

Why campaign-specific goals matter in Google Ads

Advertisers can now see exactly where their Search, Shopping, and App campaign ads are running across the Search Partner Network (SPN), with full site-level impression data.

How it works:

  • Reports list all SPN sites where your ads appeared.
  • Impression data is broken down at the site level.
  • Works like existing placement reports in Performance Max.

Why we care. Transparency has long been a sticking point with SPN. This update gives advertisers the visibility they’ve been asking for – and the ability to make smarter, brand-safe decisions.

The big picture. This change empowers advertisers to:

  • Audit brand suitability more effectively.
  • Optimize spend by analyzing which sites drive value.
  • Gain tighter control over campaign performance.

First seen. This update was first noted by Anthony Higman, founder and CEO of ADSQUIRE. He is still skeptical of Search Partner Networks despite it being an answer to a request advertisers have made for years:

  • “Still Most Likely Wont Be Participating In The Search Partner Network But This Is Unprecedented And What ALL Advertisers Have Been Requesting For Decades Now!!!”

Bottom line. Advertisers finally have the transparency and control needed to run on SPN confidently and optimize placements for better results.

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Google replaces Content API for Shopping with new Merchant API

Google Shopping Ads - Google Ads

Google announced it will shut down the Content API for Shopping on Aug. 18, 2026, officially making the Merchant API the new standard for managing Merchant Center accounts.

Why we care. For over a decade, advertisers and retailers have relied on the Content API to push product data into Google Shopping. The new Merchant API promises a simpler, more powerful way to control how products appear across both organic and ad surfaces – but it means developers and PPC teams need to start planning migrations now.

Details:

  • The Merchant API has been available in beta since May 2024, but is now generally available.
  • Google describes it as a “simplified interface” for scaling product feeds and gaining programmatic access to data, insights, and unique capabilities.
  • It will serve as the primary tool for product data management, spanning both paid and organic listings.

What’s next. The Content API remains available until August 2026, but Google urges advertisers to migrate sooner.

  • Help docs are live to guide developers through the transition.
  • Expect growing forum chatter as advertisers share migration challenges and best practices.

Bottom line. If your ecommerce business relies on the Content API, the clock is ticking. Moving to the Merchant API isn’t optional, and early adopters may gain a smoother path to scaling feeds and campaigns.

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