A new column called “Original Conversion Value” has started appearing inside Google Ads, giving advertisers a long-requested way to see the true, unadjusted value of their conversions.
How it works. Google’s new formula strips everything back:
Conversion Value
– Rule Adjustments (value rules)
– Lifecycle Goal Adjustments (e.g., NCA bonuses)
= Original Conversion Value
Why we care. For years, marketers have struggled to isolate real conversion value from Google’s layers of adjustments — including Conversion Value Rules and Lifecycle Goals (like New Customer Acquisition goals). Original Conversion value makes it easier to diagnose performance, compare data across campaigns, and spot when automated bidding is boosting value rather than actual conversions.
In short: clearer insights, cleaner ROAS, and more confident decision-making.
Between the lines:
Value adjustments are useful for steering Smart Bidding.
But they also inflate numbers, complicating reporting and performance analysis.
Agencies and in-house teams have long asked Google for a cleaner view.
What’s next. “Original Conversion Value” could quickly become a go-to column for:
Revenue reporting
Post-campaign analysis
Troubleshooting inflated ROAS
Auditing automated bid strategies
First seen. This update was first picked up by Google Ads Specialist Thomas Eccel when he shared spotting the new column on LinkedIn
The bottom line. It’s a small update with big clarity. Google Ads is giving marketers something rare: a simpler, more transparent look at the value their ads actually drive.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-16.40.16-l0XhcV.webp?fit=549%2C451&ssl=1451549http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-11-18 17:01:322025-11-18 17:01:32Google Ads quietly rolls out a new conversion metric
Google announced the release of its latest AI model update, Gemini 3. “And now we’re introducing Gemini 3, our most intelligent model, that combines all of Gemini’s capabilities together so you can bring any idea to life,” Google’s CEO, Sundar Pichai wrote.
Gemini 3 is now being used in AI Mode in Search with more complex reasoning and new dynamic experiences. “This is the first time we are shipping Gemini in Search on day one,” Sundar Pichai said.
AI Mode with Gemini 3. Google shared how AI Mode in Search is now using Gemini 3 to enable new generative UI experiences like immersive visual layouts and interactive tools and simulations, all generated completely on the fly based on your query.
Here is a video of showing how RNA polymerase works with generative UI in AI Mode in Search.
“In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.”
More Gemini 3. Google added that Gemini 3 has:
State-of-the-art reasoning
Deep multimodal understanding
Powerful vibe coding so you can go from prompt to app in one shot
Improved agentic capabilities, so it can get things done on your behalf, at your direction
Availability. Gemini 3 is now rolling out, yes, in AI Mode but here also:
For everyone in the Gemini app and for Google AI Pro and Ultra subscribers in AI Mode in Search
For developers in the Gemini API in AI Studio, our new agentic development platform, Google Antigravity; and Gemini CLI
For enterprises in Vertex AI and Gemini Enterprise
Why we care. Gemini 3 is currently powering AI Mode, the future of Google Search. It will continue to power more and more search features within Google, as well as other areas within Google’s platforms.
Being on top of these changes and how they impact search and your site and maybe Google Ads is important.
Attribution in the modern marketing age can be confusing. But the pressure on marketing teams to “prove what’s working” never goes away.
Traditionally, marketers had certain data we could always rely on, but the data pool we can pull from seems to be growing and shrinking at the same time. Between privacy constraints, zero-click searches, AI Overviews, and channel-walled gardens, marketers are flying blind in more ways than they realize. Attribution has always been an imperfect science. And in 2025, it’s gone from fuzzy to fragmented.
If you’re planning marketing budgets and trying to defend where your spend is going, there’s no need to freak out. Marketing attribution is possible. It doesn’t look like it used to, though. And if you’re still only relying on touch-based models or last-click reports, you might be measuring the wrong things entirely.
Let’s break down where attribution is failing, what’s making it harder, and what forward-looking marketers are doing to close the gap.
Key Takeaway
Attribution challenges have multiplied due to AI, automation, and privacy shifts.
Walled gardens, offline sales, and dark social are major blind spots, and they often overlap.
Deterministic, touch-based attribution is giving way to modeled and probabilistic methods.
AI isn’t just the problem, it’s also part of the solution.
You don’t need perfect data. You need data that helps you make better decisions.
The New Face of Attribution
Attribution used to be about stitching together clicks. Now, we’re lucky if we get clicks at all thanks to zero-click search.
Today’s buyers bounce between different platforms on multiple devices and AI-curated content. They’re influenced by ads on a connected TV or product mentions in a ChatGPT thread, and neither of those leaves a clean digital trail.
Meanwhile, ad platforms like Meta and Google have leaned hard into automation. That means fewer transparent levers to optimize and more “black box” performance metrics. According to NP Digital analysis, there are over 90% fewer optimization permutations in Google and Meta Ads today compared to 2023. So yes, marketing attribution is back. But the infrastructure around it seems more broken than ever.
Finding Marketing Blindspots
Unfortunately, the reality is that attribution blind spots don’t come with a warning light. You may be staring directly at your dashboard and not notice traffic is piling up in areas you’re not tracking. And the amount of potential blindspots is growing.
Here are the big ones:
Walled Gardens: Platforms like Google, Meta, and Amazon are all powerful, but have become much more mysterious as search evolves. You’re renting their space, but if you don’t play by their rules, you may not get complete visibility.
Offline Sales: Leads turn into deals in CRMs, call centers, or retail. They may have started as a click, but the customer journey ends at a brick-and-mortar location or an entirely different platform than the original click.
Cross-Device Journeys: That ad someone saw on mobile might convert from their phone, but they could just as easily become a sale on their desktop or smart TV.
Building Awareness: Upper funnel spend (like digital out-of-home (OOH) or video) gets undervalued because it rarely leads to a direct conversion.
Dark Social: Private sharing (think WhatsApp, SMS, Signal) shows up in attribution models as “direct”, but it’s not.
LLM Traffic: People are discovering brands via large language models, and those referrals are often invisible in GA4.
To make matters worse, these blind spots can stack. Before you know it, you find yourself in a nightmare marketing scenario where you’re not just missing one data signal, you’re missing combinations of them, making optimization even harder.
New Attribution Trends and Technology
You can keep up with all of this. It just requires a switch in perspective. Marketers should evaluate their campaigns using a combination of modeled attribution and traditional touch-based metrics. You may never fully connect every dot, and that’s okay. The goal isn’t perfection, just enough clarity to defend marketing budget allocations.
Modern marketers are using these tools:
Incrementality testing: Geo holdouts and lift studies to isolate what’s actually moving the needle.
MMM (Marketing Mix Modeling): Especially useful for larger budgets or mixed channel strategies.
Correlation analysis: Pre/post testing, contextual lift, and even proxy signals like brand search volume.
Unified first-party data: Clean, consistent CRM and web data feeding both your models and your platforms.
The best strategies blend these methods based on spend level, complexity, and conversion volume. Leveraging AI in your marketing efforts is one of the best ways to automate this research as much as possible and maximize the benefit of these tactics.
AI and Blind Spots
Some marketers may feel like AI is eroding attribution. While that could be true, the technology is also helping to rebuild it.
Here’s how AI is stepping in:
Generative AI: LLMs like ChatGPT are now discovery platforms. They drive traffic, but don’t always identify themselves unless you tag them.
AI coworkers: Agentic AI simulates user behavior, tests messaging, and can even help set up GA4 tracking automatically.
Machine learning models: Used in MMMs and platform attribution to refine forecasts, assign contribution, and make predictions.
Still, only 55% of marketers trust AI-generated insights, according to CoSchedule. The key is to treat AI as an assistant, not the authority. Use it to speed up testing and build models, but validate with your own data.
Analytics platforms like Adobe Analytics are also making steps to better capture attribution from AI tools. In October they released a new referrer type called “Conversational AI Tools” to segment out traffic from ChatGPT and other LLMs from the other channels marketers have historically monitored.
Closing The Gap With Attribution Strategies
So, how do you go from blind spots to better planning? You don’t need perfect clarity. You need consistent signals and a smarter strategy.
Here are some ways marketers are closing attribution gaps:
Clean your first-party data: Data from internal sources like your website and CRM needs to be trustworthy. These are your most important sources of truth.
Use multipliers: Adjust performance based on geo lift or experiment results. Not every click counts equally.
Invite questions: Models are approximations. Encourage teams to challenge them and make improvements as time goes on.
Survey your customers: Ask where they heard about you. It’s old school, but incredibly effective for context.
Use offer codes and landing pages: Even if not perfect, they create new signals across dark social or offline.
Track “AI Referrers”: Create custom =channels in your web analytics, including in GA4, to segment out performance from LLM-driven traffic.
Linking Attribution To Business Outcomes
Attribution and business outcomes go hand-in-hand. Understanding where your most profitable leads originate is essential to growing any business, regardless of its size.
You want to connect your data to actual decisions, such as forecasts, budgets, and resource allocation. But, with the marketing landscape changing so quickly and drastically, how do you know which metrics to follow?
Here are the metrics that matter now:
Total conversions and incremental conversions
Conversion value over time
Cost per incremental conversion
Spend thresholds by tactic
Directional change (old model vs. new)
Remember: even if your models aren’t perfect, if they get you closer to optimal spend, it’s working. Continuous improvement for your attribution strategy will get you closer and closer still.
FAQs
What is a marketing attribution blind spot?
It’s any part of the customer journey you can’t track, like dark social shares, offline sales, or LLM referrals that may be influencing conversions without showing up in your data.
Can AI help with attribution?
Yes, but only if used smartly. AI can simulate behavior and identify patterns, but it’s not a silver bullet. Use it to complement your experiments and first-party data.
What’s the best attribution model?
There isn’t one. The most effective models mix touch-based data with testing and contextual clues. Choose based on your business size, channel mix, and data maturity.
Conclusion
When it comes to effective attribution, you just need to see enough to move forward.
Mastering this skill in the modern marketing world is less about getting the credit right and more about making smarter calls with what you can measure. The key is to stop chasing perfection and start building a system that helps you plan and adapt to the data you gather from your testing in real-time. Attribution isn’t the whole picture, but it remains the best tool we have to illuminate the path forward, including its blind spots.
Naturally, we can still learn from tried and true marketing methods. We may just have to think outside the box on how to apply them to today’s search environment and customer journey. It’s worth checking out our guides on which marketing campaigns drive the best impact and how to track your marketing ROI. Combining this extra knowledge with your new attribution perspective could be the secret sauce to put you ahead of the pack in 2026.
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Microsoft Advertising is rolling out Image Animation, a new Copilot-powered feature that automatically converts static images into short, dynamic video assets — giving advertisers a faster path into video without traditional production.
How it works:
Copilot transforms existing static images into scroll-stopping animated video formats.
The tool extends the lifespan of strong image creatives by repurposing them for video placements across Microsoft’s global publisher network.
The feature is now in global pilot (excluding mainland China) and accessible through Ads Studio’s video templates.
Why we care. Video continues to dominate digital attention, with the average American now watching more than four hours of digital video per day. As video becomes essential in performance campaigns, advertisers need scalable ways to produce it — especially when budgets or resources are tight.
This update reduces production barriers, extends the value of top-performing images, and unlocks broader inventory across Microsoft’s premium video network.
Between the lines. For many advertisers, the biggest bottleneck to entering video isn’t strategy — it’s production. Microsoft is positioning Copilot as a creative multiplier, letting performance marketers upgrade image-based campaigns with lightweight, AI-generated motion.
Ad intelligence software promises to show you everything your competitors are doing: their keywords, budgets, creatives, and landing pages.
But many surface insights you could get for free.
Meta’s Ad Library shows what advertisers are currently running. Google’s Transparency Center does the same for search and YouTube. TikTok’s Creative Center reveals top performers by industry.
So, when does paid software earn its cost?
You’re tracking multiple competitors across platforms and losing hours to manual checks
You need historical data on which ads they tested and killed
You rely on spend benchmarks and real-time alerts to catch shifts before your clients do
That’s the gap paid tools fill. If they’re good.
Many aren’t. They bury useful insights under dashboards that create more work than they save. The data looks complete until you actually try to use it.
This guide covers six platforms that deliver real intelligence (if you know what you’re looking at).
We’re not promising magic improvements. We’re showing what each tool reveals, who it’s built for, and what you give up at each price point.
What Is the Best Ad Intelligence Software?
Ad Intelligence Tools
Best For
Price
Similarweb
Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves
$649+/month. (Only higher-tier plans come with ad intelligence.)
Semrush Advertising Toolkit
Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping
$99-$220/month
SpyFu
Best for affordable Google Ads intelligence with deep historical data
$39-$249/month
PowerAdSpy
Best for analyzing ad engagement across social media platforms
$69-$399/month
Adbeat
Best for tracking competitor display ads and landing pages
$249+/month
Pathmatics
Best for enterprise-level ad spend intelligence across mobile, social, and video
Pricing is not publicly available
1. Similarweb
Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves
Similarweb reveals your competitors’ complete paid strategies, from their winning ad creatives to their most successful publishers.
It also includes SEO and competitive intelligence tools in every subscription, so you get the full picture of how your rivals attract and convert traffic across every channel.
This cross-channel context is especially helpful if you already use native ad libraries but want scalable intel that ties everything together.
Learn Your Competitors’ Highest-Performing Publishers and Ad Networks
If your competitors are running ads, Similarweb shows you where (and how to beat them).
You’ll see:
Which ad networks and placements work best for your top competitors
Where their ad budgets go, broken down by channel
Industry-wide trends that reveal missed opportunities
Say Similarweb shows that multiple competitors spend over 50% of their display budgets on a single publisher.
That’s a data-backed signal you can’t ignore.
Use that data to target the same publisher to test similar placements. Or find underused publishers in the same category for more affordable traffic.
Get Inspired by Proven Ad Creatives
Similarweb’s database makes it easy to browse display ads by publisher, network, and format.
See the messaging and offers competitors use to get conversions
Learn how many days each ad was active, so you know which ones excelled (and which ones failed)
Find out which formats your competitors are using, including product, display, and video ads
Of course, copying your competitors’ ads word-for-word isn’t the goal.
The real value is in spotting patterns: the hooks they repeat, the formats they invest in, and the offers they continually test.
These insights let you design campaigns that build on what already works in your market.
When you’re juggling multiple accounts, this saves hours of creative testing, and points you directly toward proven formats.
Reverse-Engineer Competitors’ Search and Shopping Campaigns
Similarweb shows you which keywords your competitors bid on and how much they’re spending.
This helps you identify high-value keywords that drive conversions and avoid wasting budget on terms that don’t perform.
From there, you can build stronger landing pages that target your competitors’ most successful keywords and match intent.
Pros and Cons
Pros
Cons
Tracks 500M+ ads across publishers, networks, and formats for deep competitive insights
Ad intelligence tools only available with the most expensive plan
Uncovers competitors’ top-performing publishers and ad placements
Can feel overwhelming for smaller teams due to the platform’s depth
Includes SEO, traffic, and market data for a full competitive picture
If you only want ad intelligence, you’ll be paying for much more than you need
Pricing
Similarweb offers multiple plans, but only the most expensive one includes dedicated tools for ad intelligence.
This plan costs $649/month ($540 billed annually). Similarweb also offers business and enterprise plans, but pricing and tools are not publicly available online.
Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping
When you’re managing multiple clients or campaigns, switching between Meta, TikTok, and Google dashboards gets messy fast.
Semrush’s Advertising Toolkit consolidates that chaos into one workspace — letting you analyze competitor campaigns and build your own in the same place.
You’ll get deep intel on keywords, budgets, ad copy, and creative trends.
Plus, actionable advice on how to turn that data into high-performing campaigns.
Track Competitor Keywords and Budgets
The Advertising Research tool reveals everything, and we mean everything, about your competitors’ Google Ads strategies.
Enter any domain and you’ll see:
Estimated ad traffic
Cost per click (CPC)
Highest- and lowest-performing keywords
Organic search position
Keyword difficulty
URL
No more wasting ad budget on terms that don’t perform. You’ll know exactly which ones to target in your next campaign.
The tool also tracks keyword trends over time.
See which keywords competitors continuously invest in month after month.
When a keyword consistently appears in their paid strategy with stable or growing volume, that’s a clear sign it’s profitable.
With this data, you might test variations of the keyword in multiple ads to capitalize on its success.
Or use them to inform your broader content strategy beyond paid campaigns.
Spy on Google Shopping Ads
Have an ecommerce brand?
The PLA Research tool shows you which products your competitors promote most heavily in Google Shopping.
You’ll see position, volume, price, product titles, URLs, and trend data for each listing.
When a product shows up month after month, it’s likely a top seller.
If you don’t carry that product yet, you might consider adding it to your catalog.
Already sell it? Increase your Shopping ads to compete directly.
You can also view all of your competitors’ Google Shopping ads in one place.
Analyze their copy, images, and offers.
Then, apply these insights to your own listings:
Adjust your product titles to match high-performing formats
Test pricing strategies that undercut or match theirs
Prioritize ads for products where you have a competitive advantage. Think better reviews, faster shipping, or exclusive features they don’t offer.
Here’s another cool feature:
Instead of bouncing between tools, Semrush’s AI-powered Ad Launch Assistant lets you create and optimize Google and Meta ads directly inside the platform.
The tool generates copy and visuals tailored to your brand, from attention-grabbing headlines to conversion-focused descriptions.
Instead of writing everything from scratch, all you have to do is review each element:
Headlines
Descriptions
Site links
Callouts
Images
Videos
Simply refine the voice and messaging as needed. You’ll be able to test multiple variations in minutes instead of hours.
Unlock Deeper Insights with AdClarity
AdClarity is Semrush’s advanced cross-channel ad intelligence tool.
Need complete visibility into competitor display, social, and video campaigns?
This is where you’ll find it.
You’ll get a lot of data with this tool.
Including how much rivals spend, which publishers drive the most impact, and the exact creatives they’re using across platforms:
Facebook
Instagram
X
Google Display
Pinterest
YouTube
TikTok
LinkedIn
Say a competitor suddenly doubles their TikTok spend. You’ll spot the shift immediately and can adjust your strategy in real time.
AdClarity also automatically identifies your competitors’ top publishers and campaigns.
So there’s no guessing or testing which ones work well for your target audience.
Pros and Cons
Pros
Cons
Combines robust multi-site ad intelligence with Meta and Google campaign execution in one platform
The base plan includes only Google and Meta ad intelligence
Google Shopping insights are especially strong for ecommerce brands
AdClarity is only included the higher-tier plan
AdClarity offers advanced ad intelligence across display, social, and video
Doesn’t include SEO tools; you’ll need a separate toolkit for that
Pricing
The Semrush Advertising Toolkit is $99 per month.
It includes Advertising Research, PLA Research, Ads Launch Assistant, and more.
The higher-tier plan ($220/month) includes AdClarity, along with all of the above.
3. SpyFu
Best for affordable Google Ads intelligence with deep historical data
SpyFu is built for one thing: uncovering Google Ads strategies.
If your strategy leans heavily on Google, it’s one of the most detailed and budget-friendly advertising intelligence software options available.
Download Competitor Keywords Without Limits
SpyFu shows you everything your competitors do on Google Ads — and lets you export it all with no limits.
Many ad intelligence platforms cap your keyword downloads, so this is a plus.
Type in any competitor’s domain and you’ll see:
Every keyword they’ve ever bought on Google Ads
Estimated monthly clicks and CPC
Total spend on paid search
For example, say you’re in SaaS project management and Asana is your top competitor.
Search their domain, and SpyFu shows you their current and historical ad keywords. We’re talking thousands of terms, not just the top 50 or 100.
Download the complete dataset and…
Feed it into your analytics tools or Google Sheets
Share it with your team for campaign planning
Build custom reports for leadership
Cross-reference it with your CRM to see which keywords actually convert
Spot Overlaps and Waste in PPC Strategies
SpyFu’s Kombat tool compares your PPC strategy against up to two competitors at once.
But instead of having to sift through 10,000 keywords, the ad intelligence tool automatically groups them into helpful buckets:
Core Keywords: Terms all competitors are bidding on
Consider Buying: Valuable keywords they use, but you don’t
Potential Ad Waste: Terms that neither competitor uses but you do
So, you know exactly which terms to focus on (and which to remove from your campaigns).
This is especially helpful if you’re newer to paid campaigns.
Or have limited time (or tolerance) for turning data into actionable insights.
SpyFu also tags certain terms as “Great Buys” and estimates how many impressions you’ll get for each one.
Plus, it shows which competitors already bid on them, so you can piggyback on proven opportunities.
For example, the report below reveals that Asana’s competitor, Monday.com, uses “top task management apps” and “work time tracker app” in its ad strategy.
Asana could (and probably should) target both terms since SpyFu’s data shows they’re worth the investment.
Learn From Ads That Worked (or Failed)
SpyFu’s Ad History tool shows every ad variation competitors have tested for a given keyword.
If an ad copy ran for 14 consecutive months, you know it was effective.
If it vanished after a week? Probably a dud.
This kind of insight lets you write ads with fewer flops and faster wins.
This is especially valuable if you handle multiple accounts. You can skip obvious mistakes and start from proven winners.
Pros and Cons
Pros
Cons
Unlimited keyword exports with no download caps
Focused exclusively on Google Ads; no social or display coverage
10+ years of historical ad data for deep competitive analysis
Historical data (10+ years) requires paying for higher-tier plans
Kombat tool automatically identifies keyword overlaps and wasted spend
The base plan doesn’t come with unlimited downloads
Pricing
SpyFu offers three main plans, all of which come with ad intelligence and SEO reports.
The most affordable plan is $39 per month.
However, you’ll need to upgrade to a higher tier to get 10+ years of historical insights ($59-$249/month).
You’ll also see landing page insights, so you get intel on the complete customer journey.
See Which Landing Pages Are Actually Converting
Adbeat shows you which landing pages drive the most ad traffic. And how long each page has been live.
For example, Squarespace’s longest-running landing page has been active for 794 days.
That’s over two years.
When a page stays live that long, you know it’s consistently converting.
This intel helps you see which page layouts, offers, and messaging are worth replicating.
If you work for an agency and have multiple clients, this is particularly valuable. It’s a fast way to benchmark what “good” looks like in each vertical.
Reveal Media Buying Strategies and Publisher Insights
The Advertiser Dashboard breaks down where competitors allocate their budgets across channels, networks, and publishers.
You’ll also see share-of-voice data to understand their market presence.
For example, Adbeat found that Squarespace ran 524 ads in one month.
And 78% of their spend went to programmatic ads.
Details like this highlight which channels matter most in your niche. And where you can reallocate budget to get better performance for your own campaigns.
Benchmark Campaign Performance and Spot Trends
Adbeat’s ad intelligence software lets you monitor how your competitors’ budgets shift over time.
But what’s especially helpful is that they break it down by ad type: standard, native, and video.
For example, Squarespace’s longest-running video ad has been live for 413 days.
If they’ve kept it running that long, it’s a moneymaker.
In other words, it’s worth considering if you’re investing enough in video ads. And studying individual high performers for hooks, visuals, and offers.
Pros and Cons
Pros
Cons
Lets you analyze ads and landing pages together for complete funnel insights
Limited coverage of search and social campaigns
Reveals media spend, publisher performance, and traffic sources
Pricing is higher than ad-creative-only tools
Great for agencies, affiliate marketers, and display-heavy advertisers
Enterprise pricing is not publicly available
Pricing
Adbeat’s pricing starts at $249 per month for display, programmatic, and native ad intelligence.
For advanced filters, alerts, and historical data, you’ll need the higher plan ($399 per month).
There’s also an enterprise plan, but pricing isn’t listed publicly.
6. Pathmatics by Sensor Tower
Best for enterprise-level ad spend intelligence across mobile, social, and video
Pathmatics is built for large teams and big brands.
Household names like P&G and Unilever use this platform, so expect enterprise-level pricing and complexity.
But if you’re managing high-volume spend or reporting to leadership, it offers the transparency and benchmarking you can’t get from native tools.
Uncover Competitors’ Ad Spend Across Every Channel
Pathmatics shows you where every ad dollar goes in a pretty granular way.
It breaks down spend by platform, campaign, or creative — and tracks impressions, reach, and frequency over time.
Say you notice a competitor’s Instagram spend suddenly increased by a significant amount in a single week during Q4.
That signals a major campaign launch — possibly holiday shopping or Black Friday prep.
With this data, you can adjust your strategy immediately. And compete head-to-head with your main competitors.
Pathmatics also lets you benchmark your ad spend against multiple competitors at once.
If you’re investing $500K on display while your top three competitors each spend $2M+, you’ll see that gap.
Use this data to justify budget increases to leadership.
Or to identify where smaller reallocations could close the gap faster.
Benchmark Market Share and Share of Voice
Pathmatics tracks your share of voice against competitors in your industry and region.
If three brands dominate 80% of impressions in your category, you’ll see who owns what percentage.
This data helps you understand your position in the market.
Are you a distant fourth? Or neck-and-neck with the leader?
You can also identify which competitors dominate specific channels and spot opportunities where they’re underinvesting.
If the market leader owns Facebook but ignores TikTok, that’s your opening.
Evaluate Creatives That Resonate
Every ad includes details like format, placement, messaging, CTAs, and audience profiles.
See which creatives competitors keep running and which ones they kill after a few days.
Track the exact messaging and offers that stick around for months or years.
Use these insights to refine your own creative strategy.
Double down on formats that consistently deliver, and try localized messaging in new markets where your competitors are seeing success.
Pros and Cons
Pros
Cons
Provides cross-channel visibility across social, display, mobile, video, and OTT
Pricing is custom and can be expensive for smaller teams and startups
Combines creative data with detailed spend, reach, and audience insights
Steeper learning curve due to platform depth and data complexity
Ideal for enterprise-level teams, app publishers, and multi-channel marketers
Some users report data accuracy issues
Pricing
Pathmatics’ pricing is custom.
Request a quote if you’re interested.
Turn Competitive Intel into Campaign Wins
The right ad intelligence software isn’t the one with the most features.
It’s the one you can trust.
This means reliable data, less manual work, and the ability to scale campaigns across platforms with ease.
On a budget and focused mainly on Google Ads? Start with SpyFu.
Need deep, multi-site advertising intelligence across search and social with campaign execution built in?
Go for Semrush’s Advertising Toolkit.
Once you’ve picked your platform and gathered competitive intel, the next step is making sure your paid and organic strategies work together.
Learn how to align SEO and PPC to maximize visibility, reduce wasted spend, and improve your ROI.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-11-12 19:12:442025-11-12 19:12:446 Best Ad Intelligence Software to Outsmart the Competition
October showed just how fast AI is reshaping how brands connect, convert, and stay visible. OpenAI turned chats into checkout experiences. Google tested AI-written snippets and agent-driven search. The line between platforms, ads, and transactions keeps disappearing.
Creators gained new credibility. Rebrands proved riskier than ever. Data-driven PR entered a new era.
Here’s what mattered most and how to stay ahead.
Key Takeaways
• AI is officially a channel, not a tool. Search, shopping, and PR are all happening inside AI environments now.
• Authenticity outperforms aspiration. Whether you’re selling luxury goods or refreshing your brand, identity, and connection drive growth.
• Visibility depends on AI citations and structure. The brands getting mentioned in AI results are building more trust and traffic everywhere.
• Automation is powerful, but it still needs control. As Google’s AI Max expands, you need to balance efficiency with oversight to protect budgets and brand safety.
• Every brand action is a public statement. From rebrands to creator partnerships, perception moves fast. Plan your narratives or risk losing control of them.
Search & AI Evolution
Search has moved beyond discovery. October’s updates from OpenAI and Google show how AI is collapsing the gap between queries and actions. Visibility means something different now.
OpenAI launches in-chat purchases
OpenAI rolled out Instant Checkout in ChatGPT. U.S. users can now buy products directly inside the chat. Powered by Stripe, the feature starts with Etsy listings and will expand to more merchants soon. Sellers on Shopify are auto-enrolled. Others can join by connecting product feeds and enabling Stripe checkout.
Our POV: ChatGPT shopping changes product discovery completely. If your product data isn’t complete, detailed, and conversational, you won’t show up. The most visible listings will have rich attributes and language that reflects how users naturally describe what they want.
What to do next: Audit your product feeds. Fill every field. Use detailed, long-form descriptions that anticipate real-world queries. Give the e-commerce agent what it needs to surface your products.
<h3> Google tests AI-written meta descriptions <h3>
Google began testing AI-generated snippets powered by Gemini. Instead of pulling your written meta description, the model writes or summarizes one based on on-page content.
Our POV: Google’s been rewriting descriptions for years. AI just made it smarter and less predictable. Treat your page intros as the new meta description because that’s what AI will pull from.
What to do next: Front-load the first 150 words of each key page with a clear summary of what the page delivers and why it matters. Tighten headings and intros, monitor CTR shifts, and adjust language when AI summaries drift from your brand’s tone.
<h3> Google Search Labs adds Agentic AI <h3>
Google’s AI Mode now lets users book restaurants and other services directly from results. Search is moving from recommending to acting.
Our POV: This isn’t a traffic killer. But signals are shifting. AI will handle the click path. The brands that win will have structured, verified, action-ready data.
What to do next: Audit structured data, integrate local feeds, and make sure your listings are up to date across booking platforms. When the search agent starts acting on your behalf, data hygiene becomes your conversion strategy.
Paid Media & Automation
AI is taking over ad delivery. Control is the new currency. You have to balance efficiency with visibility to keep performance from becoming unpredictable.
Google doubles down on AI Max
Google refreshed its AI Max ad pitch. The system is fully automated: it matches intent, rewrites copy, and routes users to brand assets. Powerful, but still a black box.
Our POV: Automation doesn’t replace strategy. Advertisers need visibility, not just results. Without strict guardrails, budgets can leak into low-value placements or off-brand creative.
What to do next: Run low-risk tests first. Add negative keyword lists, set URL exclusions, and manually review creative. Monitor performance closely until you can prove control before scaling.
Apple launches dedicated Games app
Apple introduced a standalone Games app with iOS 26, bridging Game Center and the App Store. Developers can now feature their games, run dual search visibility, and analyze engagement with new metrics later this year.
Our POV: This isn’t a small tweak, Apple’s essentially building a second storefront. Game publishers who adapt early will own discoverability.
What to do next: Refresh creatives, optimize In-App Events, and plan for dual indexing between the Games app and App Store. When analytics arrive, use them to refine ASO and campaign timing.
Social & Content Trends
Creators and consumers are rewriting the rules. Authenticity, identity, and emotional connection drive engagement across platforms that once ran on aspiration and polish.
TikTok reframes luxury branding
TikTok’s new research shows luxury audiences care more about self-expression than status. It’s about showing who you are, not showing off.
Our POV: That shift goes way beyond luxury. Audiences in every category now expect brands to reflect their identity. Connection beats aspiration. Authenticity beats polish.
What to do next: Reevaluate your brand’s emotional identity. Work with creators who reinterpret your message through their lens. Build content that feels participatory, not performative.
UK YouTubers contribute £2.2B to the economy
YouTube creators generated £2.2 billion for the UK economy last year, supporting over 45,000 jobs. Parliament even launched a cross-party group to represent them.
Our POV: Creators aren’t influencers anymore. They’re small businesses with real economic weight. Partnering with them means investing in industries, not individuals.
What to do next: Build collaborations that help creators grow beyond campaigns. Shared education, joint products, or community-driven initiatives create deeper, longer-term value.
PR, Reputation & Brand Risk
Reputation management has become real-time and AI-measurable. From LLM citation tracking to brand backlash, every communication choice now echoes faster and louder.
A first-of-its-kind industry partnership between these two companies now offers a tool that tracks how often press releases are cited by LLMs like ChatGPT and Gemini. It finally gives brands visibility into their “AI footprint.”
Our POV: PR just gained a measurable seat in AI discoverability. Knowing when AI cites your releases helps you shape future narratives.
What to do next: Integrate AI citation metrics into your analytics stack. Identify which stories get surfaced and refine future language to match the tone that earns citations.
Rebrands are riskier than ever
Cracker Barrel’s attempted rebrand backfired almost instantly. Modest design updates triggered outrage and political backlash—proof that brand refreshes now carry reputational stakes.
Our POV: Rebrands still matter, but they demand foresight. A design tweak is a message, whether you mean it or not.
What to do next: Before launching a new look, test reactions across audience segments and scenario-plan your communication strategy. Shape the story before the internet does.
Olivia Brown automates PR outreach
A new AI platform called Olivia Brown is automating nearly every part of digital PR, from writing press releases to pitching journalists and sending aggressive follow-ups. It promises to “democratize publicity,” but its bulk-send approach is flooding inboxes and straining relationships between brands and reporters who value relevance and trust.
Our POV: Rebrands still matter, but they demand foresight. A design tweak is a message, whether you mean it or not.
What to do next: Before launching a new look, test reactions across audience segments and scenario-plan your communication strategy. Shape the story before the internet does.
SEO 2.0: The New Search Game
Traditional rankings are giving way to AI visibility. The brands that master structure, credibility, and omnichannel authority are the ones AI systems will learn to trust and users will keep choosing.
Rankings + AI Citations
Traditional SEO metrics can’t capture how visible you are inside AI systems. NP Digital’s SEO 2.0 approach tracks AI citations alongside rankings to see how content performs in generative search.
Our POV: Rankings aren’t the endgame anymore. Visibility inside AI summaries is. The brands that get cited are the ones shaping what users read next.
What to do next: Create original, data-backed content that builds authority across multiple platforms: YouTube, Reddit, TikTok, and forums. These are the signals AI models use to decide who to trust.
<America’s favorite new query: “Is it good or bad?”
SEMrush found that U.S. users are now searching in binary terms. Tens of millions of queries every month ask if something is “good” or “bad.”
Our POV: AI Overviews have trained users to expect clear answers. If your content hedges or buries the lead, you’ll lose clicks and credibility.
What to do next: Structure pages for speed and certainty. Use FAQ blocks, schema markup, and straightforward intros that deliver the verdict early. This is how you earn trust in zero-click environments.
Conclusion
AI is rewriting the rules of visibility, discovery, and trust. Success no longer depends on who publishes most. It depends on who provides the clearest data, most credible voice, and strongest structure. The brands investing in AI-ready content, authentic storytelling, and measurable strategy will own the next wave of search, social, and PR.
Need help applying these insights? Talk to the NP Digital team. We’re already helping brands adapt as things develop.
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Google rolled out AI-powered ad carousels in the Images tab on mobile, now appearing across all categories — not just shopping-related ones.
Why we care. Ads are now showing directly within image search results, giving brands a new, highly visual placement to grab attention where users are actively browsing and comparing visuals. With users often browsing images to explore ideas or compare options, these AI-powered carousels give brands a chance to influence discovery earlier in the journey.
The details:
The new format features horizontally scrollable carousels with images, headlines, and links.
These carousels are powered by AI-driven ad matching, pulling in visuals relevant to the user’s query — even in non-commerce categories like law or insurance.
The feature was first spotted by ADSQUIRE founder Anthony Higman, who shared screenshots of the new layout on X.
The big picture. By integrating ads more seamlessly into visual search, Google is blurring the line between organic and paid discovery a continued shift toward immersive, image-based ad experiences that go beyond traditional text and product listings.
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Google Ads is updating its Destination requirements policy to block phone numbers tied to fraud or prior policy violations, part of the company’s ongoing effort to curb deceptive advertising practices.
The timeline:
Policy update effective: December 10, 2025
Enforcement ramp-up: Over roughly 8 weeks after rollout
What’s changing. Phone numbers flagged as fraudulent or with a history of violations will now be deemed unacceptable under the Destination requirements policy, leading to ad disapprovals.
Why we care. The change targets bad actors who use legitimate-looking phone numbers to mislead users or bypass enforcement, a recurring issue in sectors like tech support scams and lead generation. It’s a reminder to audit contact information across campaigns and ensure all numbers are verified and legitimate. Failing to do so could disrupt ad delivery, delay approvals, and hurt campaign performance during the enforcement rollout.
For advertisers. Those impacted will receive disapproval notices and can refer to Google’s help center for guidance on fixing disapproved ads or assets.
First seen. This update was shared by ADSQUIRE founder, Anthony Higman on X.
Between the lines. Google continues tightening ad verification and destination standards amid growing scrutiny over scams and consumer trust — showing that accountability for ad content now extends beyond just the landing page.
Over 2.5 million home services businesses operate in the U.S., from HVAC companies and plumbers to pest control specialists and landscapers. Most compete within a 10-15 mile radius, fighting for the same local customers.
Here’s the problem: your potential customers need help right now. A burst pipe. A broken AC in July. A wasp nest over the front door. They’re Googling “emergency plumber near me,” asking ChatGPT for recommendations, or searching through Google’s AI Overviews for “same-day HVAC repair.” They’re calling the first business that looks trustworthy.
If you don’t show up in those searches, either traditional Google results or AI-generated answers, with strong reviews and clear contact info, you’ve already lost the job.
Home services marketing gets you in front of customers at the exact moment they need you, across every platform they’re using. This guide breaks down the specific tactics that work for local service businesses.
Key Takeaways
Home services marketing drives visibility when customers search during emergencies or urgent needs in your local area.
Reviews and your Google Business Profile directly impact whether customers call you or scroll to the next listing.
Effective home services marketing combines local SEO, paid search for high-intent keywords, and reputation management.
Mobile-optimized websites with click-to-call functionality are critical since most home services searches happen on phones.
AI search tools like ChatGPT and Google’s AI Overviews now influence how customers find local service providers.
Tracking call volume, form submissions, and cost per lead helps you invest in what actually brings customers through the door.
Why Do Home Services Businesses Need Marketing?
Referrals and repeat customers built your business. But what happens when your best referral source retires? Or when a new competitor opens two miles away and starts undercutting your prices?
Marketing creates a predictable lead pipeline that doesn’t depend on word-of-mouth alone.
Here’s what effective marketing does for home services businesses:
Generates leads during slow seasons. HVAC companies can’t survive on summer AC calls alone. Marketing keeps your calendar full with maintenance appointments, system upgrades, and off-season work.
Captures customers before they call your competitor. When someone searches “24-hour electrician,” three businesses appear in Google’s map pack. Marketing gets you in that top three instead of buried on page two.
Look at the example below. These three electricians dominate the local map pack for emergency searches. Notice how each has over 100 reviews, clear phone numbers, and “Open 24 hours” indicators. The businesses below this fold get far fewer calls.
Builds pricing power through reputation. When you have 200+ five-star reviews and your competitor has 15, customers stop shopping on price alone. They’ll pay more for the business that looks trustworthy and established.
Lets you choose your customers. Good marketing attracts the right jobs at the right price points. You’re not just taking whatever walks through the door.
Without marketing, you’re reacting. With it, you’re in control of your growth.
What Makes Home Services Marketing Unique?
Home services marketing operates differently than retail, ecommerce, or B2B software. You’re selling an in-person service that requires customers to let strangers into their homes, often during stressful situations.
That creates three unique challenges:
Hyper-local competition. You’re not competing nationally. You’re fighting for visibility against 15-30 other plumbers, electricians, or HVAC companies within a 10-mile radius. Your customer in Austin doesn’t care about the best roofer in Dallas.
Trust is the primary buying factor. Customers research your business before opening their door. They check if you’re licensed, read what other homeowners say about you, and look for proof you won’t rip them off or do shoddy work.
Look below for an example of what customers see when researching a home services business. This HVAC company’s Google Business Profile displays detailed reviews mentioning specific technicians and response times. These trust signals matter more than flashy branding.
Speed matters more than polish. Most home services searches are urgent. Customers need someone today, not next week. They’ll call the first business that answers the phone and can schedule them quickly. A beautiful website means nothing if your contact info is buried or your phone goes to voicemail.
Click-to-call buttons on every page, above the fold.
Service area pages for each city or neighborhood you cover.
Real customer photos showing your team, trucks, and completed work.
Fast page load times because impatient customers bounce quickly.
Digital Marketing Strategies For Home Services
Winning in local home services marketing requires a mix of visibility tactics and trust-building. You need customers to find you when they search, trust you enough to call, and remember you for future jobs.
The strategies below work specifically for home services businesses. Each section covers what the tactic does, why it matters for local service companies, and how to implement it without wasting money on tactics built for other industries.
Home Services LLM Marketing
Large Language Model (LLM) marketing optimizes your content to appear in AI-generated search results from tools like ChatGPT, Claude, Perplexity, and Google’s AI Overviews.
When someone asks ChatGPT “Who’s the best emergency plumber in Austin?” or uses AI Overviews to search “how to choose an HVAC company,” you want your business cited in those responses.
Answer specific questions clearly. Create content that directly answers common home services questions: “How much does furnace replacement cost in Chicago?” or “What causes low water pressure?” AI tools favor content that gets straight to the answer in the first paragraph.
Use structured data markup. Add schema markup (LocalBusiness, FAQPage, HowTo) to help AI understand your services, location, and expertise. This increases your chances of being cited as a source.
Build authority with detailed guides. Publish comprehensive resources like “Complete Guide to Emergency Plumbing Repairs” or “HVAC Maintenance Checklist for Homeowners.” AI models pull from authoritative, in-depth content when generating recommendations.
Check out this Google’s AI Overview for landscaping companies near Seattle. These businesses earned placement by creating structured, authoritative content that AI can parse and reference.
Claim and optimize your Google Business Profile. AI tools often reference Google’s local business data when making recommendations for service providers.
Home Services Content Marketing
Content marketing for home services means creating blog posts, videos, and guides that answer customer questions, build trust, and improve your local SEO rankings.
Customers research before calling. They want to know what the job costs, how long it takes, and whether they can trust you. Content answers those questions and positions you as the expert.
What works for home services:
Location-specific service pages. Create dedicated local landing pages for each service in each city you cover: “Emergency Plumbing in Austin, TX” or “AC Repair in Round Rock.” Include local details like average response times, areas served, and city-specific regulations.
Educational blog posts targeting search queries. Answer questions customers actually ask: “How do I know if my water heater needs replacing?” or “Why is my AC blowing warm air?” These posts drive organic traffic and demonstrate expertise.
Video content showing your work. Film your technicians diagnosing problems, completing repairs, or explaining maintenance tips. Video builds trust faster than text. The River Pools YouTube channel is a good example, showing repair tutorials and walkthroughs..
FAQs on every service page. Add 3-5 frequently asked questions at the bottom of each service page. This helps with SEO and reduces pre-call questions.
Paid Media for Home Services
Paid search (PPC) puts your business at the top of Google instantly, above the map pack and organic results. For urgent home services searches, paid ads capture customers who need help now and will call the first number they see.
Home services keywords are expensive. “Emergency plumber” or “AC repair near me” can cost $15-$75 per click in competitive markets. That’s why your campaigns need tight targeting and strong conversion tracking.
Here are some best practices for home services PPC:
Target hyper-local, high-intent keywords. Bid on “emergency electrician in [neighborhood]” or “same-day HVAC repair [city].” Skip broad terms like “plumbing tips” that attract researchers, not buyers.
Use call extensions and location extensions. Make your phone number and address visible in every ad. Most home services customers call directly rather than visiting your website first.
Run call-only campaigns for mobile. Over 70% of home services searches happen on phones. Call-only ads display just your phone number and business info with a tap-to-call button.
In the paid ads for “emergency plumber NYC,” you can see book buttons, star ratings, and location info. Notice how these ads dominate the top of results before any organic listings appear.
Track phone calls, not just clicks. Use call tracking software like CallRail to measure which keywords drive actual phone inquiries and booked jobs.
Home Services SEO
SEO (search engine optimization) helps your business rank organically in Google without paying for every click. For home services, local SEO drives the most valuable traffic because customers search for providers in their immediate area.
Local SEO focuses on appearing in the map pack (the top three businesses with pins) and ranking for city-specific keywords. Getting into that map pack means more calls.
How to optimize local SEO for home services:
Optimize your Google Business Profile completely. Fill out every section: business description, service areas, hours, attributes (veteran-owned, emergency services, etc.), and upload at least 10 photos. Add posts weekly to stay active.
Create dedicated pages for each service and location. If you serve five cities, create five separate pages for “AC Repair in [City].” Include local landmarks, neighborhoods, and zip codes in your content.
Build local citations. Get your business listed on Yelp, Angi, BBB, Chamber of Commerce, and industry directories. Consistent NAP (Name, Address, Phone) across all sites signals legitimacy to Google.
The example below shows a location-specific service page optimized for local SEO. Notice how the plumbing company includes the city name in the H1, mentions specific neighborhoods served, references local weather patterns, and includes a map showing their service area.
Optimize for mobile speed. Run your site through Google PageSpeed Insights and fix any issues slowing load times. Slow sites lose impatient mobile customers.
Social Media For Home Services
Social media for home services builds local recognition and trust. You’re not trying to go viral. You’re staying visible so customers think of you first when their water heater breaks or their AC stops working.
Focus on Facebook and Instagram for residential customers, and add YouTube for educational content. LinkedIn works if you target commercial property managers or businesses.
What works for home services social media:
Post before-and-after photos of completed jobs. Show the clogged drain versus the clean pipe. The old HVAC unit versus the new installation. Visual proof builds credibility and gives customers confidence in your work quality.
Share customer testimonials and video reviews. Ask satisfied customers to record a 30-second video explaining their experience. Video testimonials feel more authentic than text reviews and perform better on social platforms.
Show your team and trucks in action. Post photos of your technicians arriving at jobs, working on repairs, or attending training. This humanizes your business and helps customers recognize your branded vehicles in their neighborhood.
The example below shows a foundation repair company’s Instagram feed with informational content, team photos, and customer shoutouts.
Engage with local community content. Share local events, sponsor youth sports teams, or highlight neighborhood news. This positions you as a community business, not just a service provider.
Post 3-4 times per week minimum. Consistency matters more than perfection.
Email Marketing For Home Services
Most home services businesses ignore email marketing, which leaves money on the table. Email keeps you connected with past customers and turns one-time jobs into repeat business.
Home services have natural repeat cycles. HVAC systems need annual maintenance. Gutters need cleaning twice a year. Pest control requires quarterly treatments. Email reminds customers to book before they call someone else.
How to use email for home services:
Send seasonal maintenance reminders. Email past customers in April about AC tune-ups before summer heat. In October, remind them about furnace inspections before winter. These emails generate easy repeat bookings.
Automate post-job follow-ups. Three days after completing a job, send an automated email asking for a review with direct links to your Google Business Profile. Follow up 30 days later with maintenance tips or related service offers.
Share monthly tips in newsletters. Send seasonal advice like “How to prevent frozen pipes” or “Signs your water heater is failing.” Educational emails keep you top-of-mind without being pushy.
The screenshot below shows a house cleaning company’s new stripping and waxing service seasonal email reminding customers to book spring maintenance. Notice the clear call-to-action button, features, and service photos.
Win back inactive customers. Email customers who haven’t booked in 12+ months with a special offer.
Home Services Reputation Management
Your online reputation directly impacts whether customers call you or scroll to the next business. Studies show 97% of consumers read customer reviews before choosing a local service provider. For home services, where customers invite strangers into their homes, reviews matter even more.
A competitor with 150 five-star reviews will get calls over you, even if your prices are lower and your service is better. Reputation management isn’t optional.
How to manage your reputation:
Ask for reviews immediately after completing jobs. Send a text or email within 24 hours with direct links to your Google Business Profile and Yelp. Happy customers forget to leave reviews if you wait too long. Make it easy with one-click links.
Respond to every review within 48 hours. Thank customers for positive reviews and mention specific details (“Glad Tom could solve your drainage issue so quickly”). For negative reviews, respond professionally, acknowledge the problem, and offer to make it right offline.
Display reviews prominently. Add a reviews widget to your website homepage. Screenshot your best Google reviews and share them on social media. Ideally, you should have as many ways as possible to feature testimonials.
Monitor mentions across platforms. Use tools like Podium, Birdeye, or Google Alerts to track when your business is mentioned online.
Home Services Mobile/SMS Marketing
SMS marketing works exceptionally well for home services because customers open 98% of text messages within minutes. For time-sensitive communications like appointment confirmations and service updates, texting beats email every time.
How home services use SMS effectively:
Send appointment confirmations and reminders. Text customers 24 hours before scheduled service: “Reminder: Tom will arrive tomorrow at 2pm for your AC repair. Reply C to confirm or R to reschedule.” This reduces no-shows significantly.
Update customers on technician arrival. Text “Your technician is 15 minutes away” when your crew is en route. This courtesy builds trust and reduces anxious phone calls asking “Where are you?”
Request reviews via text. Send a review request within hours of completing a job: “Thanks for choosing us! How did we do? Leave a review: [link].” SMS review requests get 3x higher response rates than email.
Send seasonal promotions to past customers. Text previous clients with limited-time offers: “Spring AC tune-up special: $79 (reg $129). Book by 4/30. Reply BOOK to schedule.”
Keep messages short, personalized, and always include an opt-out option to stay compliant with
Measuring Your Home Services Marketing Success
Tracking results tells you what’s working and where to invest more budget. Home services businesses should focus on metrics that directly tie to revenue: calls, bookings, and cost per customer.
Key metrics to track:
Phone call volume and source. Use call tracking software like CallRail or CallTrackingMetrics to see which marketing channels drive calls. Tag different phone numbers for your website, Google ads, and Facebook page to identify your best sources.
Form submissions and online bookings. Track how many people fill out contact forms or book appointments through your website. Set up conversion tracking in Google Analytics to measure this.
Google Business Profile insights. Check your profile’s dashboard monthly to see how many people viewed your listing, clicked for directions, called your business, or visited your website. This shows your local visibility trends.
Cost per lead and cost per customer. Calculate how much you spend to acquire each lead and each paying customer. If your Google ads cost $2,000/month and generate 40 leads with 10 becoming customers, your cost per customer is $200.
The screenshot below shows a CallRail dashboard tracking phone calls by source. Notice how it attributes calls to specific campaigns (Google Ads, organic search, Facebook) so you know exactly what’s driving results.
Use Google Analytics, Ubersuggest, and your CRM to centralize this data in one dashboard.
FAQs
What is home services marketing?
Home services marketing is the process of promoting businesses like HVAC, plumbing, roofing, pest control, and other similar categories. It includes strategies like SEO, paid ads, local listings, email, and referral programs to attract and retain customers.
How to market home services?
Start with the basics: claim your Google Business Profile, build a review strategy, create local SEO-optimized service pages, and run targeted PPC campaigns. From there, test channels like email and SMS to nurture leads and win repeat business.
Conclusion
More leads, more reviews, and a full calendar don’t happen by accident. Home services marketing builds the visibility and trust that turn searchers into paying customers.
Start with local SEO and your Google Business Profile. These give you the foundation to appear when customers search for help. Add customer reviews to build credibility, then layer in paid ads and content to capture customers at every stage.
Track your results monthly. Know which channels drive calls and which waste budget. Double down on what works.
If you need help building a marketing strategy that fills your schedule, NP Digital works with home services businesses to create campaigns that generate real ROI.
Google is rolling out asset-level reporting for Display campaigns, giving advertisers a clearer view of how individual creative assets perform — a move that brings Display closer to the visibility already seen in Performance Max campaigns.
Why we care. Until now, Display campaign insights have been limited to overall ad performance. With this update, advertisers can analyze results at the asset level — images, headlines, descriptions — to pinpoint what’s driving engagement and what’s not.
How it works. A new Assets tab in Google Ads will let users:
Compare performance of each creative asset.
View when assets were last updated to track iteration history.
Decide which assets to keep, refresh, or remove based on data.
The details. A new Google support page, “About asset reporting in Display,” outlines the update with links to:
Get started
How it works
Asset reporting for your Display campaigns
Evaluating asset performance
Between the lines. This upgrade mirrors reporting tools available in Performance Max, signaling Google’s continued effort to unify insights across campaign types and improve transparency in automated advertising.
What’s next. The feature hasn’t been spotted live yet, but its appearance on Google’s help center — first noticed by PPC News Feed founder Hana Kobzová — suggests a wider rollout is imminent.
