How to optimize PPC forms and follow-ups for lead gen in 2025

How to optimize PPC forms and follow-ups for lead gen in 2025

No matter how perfectly crafted your PPC ads are, their success hinges on what happens after the click. 

In 2025, optimizing your forms and follow-up processes is the key to turning traffic into high-quality leads and ensuring your campaigns deliver real results.

Why optimizing forms and follow-ups is essential

Google’s mantra, “Focus on the user, and all else will follow,” rings especially true in lead generation. 

While PPC marketers often focus on perfecting ad copy, audience targeting, and bidding strategies, many overlook a crucial element: the post-click experience

No matter how strong your campaigns are, they won’t deliver their full potential if your forms and follow-up processes aren’t optimized.

Google estimates that businesses earn an average of $8 in profit for every $1 spent on Google Ads

Still, this kind of return is only achievable when the entire user journey – from click to conversion – is seamless and user-centric. 

PPC success doesn’t end when a user clicks on your ad; it starts there.

Lead forms offer valuable data, and small tweaks to their design, functionality, and follow-up strategy can make all the difference. 

In 2025, it’s time to shift focus from experimental PPC strategies and invest in:

Refining these touchpoints will be key to attracting higher-quality leads and boosting your campaign results this year.

With optimized forms and strategic follow-ups, every click from your PPC campaign delivers value. 

Whether you’re collecting leads through forms or other tools like chatbots or call tracking, the goal remains the same: guide future customers smoothly through your lead-gen funnel.

Here are the five key methods to perfect in 2025: 

1. Crafting PPC forms for maximum conversions

The era of a one-size-fits-all approach is over.

Forms must be tailored to the specific needs of each industry, customer segment, and sales process to effectively serve both the user experience and the sales team’s ability to close deals.

It’s common knowledge that every additional field in a form introduces potential friction. Reducing the number of fields can significantly boost conversions. 

However, simplicity must be balanced with the data necessary to qualify a prospect. 

Different industries and businesses require varying levels of personalization.

Real estate or local services 

  • The “sweet spot” for most industries is between 3 to 5 fields. However, this isn’t a one-size-fits-all rule. Simplified forms may overlook key insights needed to move leads down the funnel. 
  • A/B testing a basic form (name, email, ZIP code) against a more detailed one (asking about intent and timeline) can help determine whether complexity improves or hinders conversions. 
  • Another approach is using a multi-step funnel, where initial engagement leads to deeper qualification questions.

B2B SaaS or high-ticket services

  • These industries require more nuanced testing. 
  • If a single landing page form doesn’t deliver quality leads, try multi-step forms to gather detailed information over time without overwhelming users.

Pest control service

  • A single-field form asking for a ZIP code to generate instant quotes works well, as users in urgent situations prioritize speed and simplicity over additional questions.

Education SaaS campaign

  • For an ebook offer like “How to double campaign ROI with automated email workflows,” a form asking only for a name and email maximizes conversions. 
  • The user is in the early stages of the funnel, so simplicity reduces friction and captures basic contact info for future nurturing.

Higher education

  • Universities may require more flexibility in how they present questions. 
  • Multi-step forms, broken into smaller sections on different landing pages (e.g., Step 1: Contact Information, Step 2: Program Interest), can help guide users without overwhelming them.

In addition, dynamic forms that adapt based on user input can also enhance engagement and personalization. 

For example, tailoring follow-up questions when users select “Undergraduate” or “MBA” ensures that the form remains relevant to their needs, providing a more customized experience.

Finally, A/B testing different landing page strategies (i.e., comparing multi-step forms to single-step forms) helps determine which approach works best for your audience. 

Platforms like Google Ads, Microsoft Advertising, and LinkedIn Ads offer built-in experimentation tools to make testing easier. 

By leveraging these tools, marketers can refine their forms and landing pages to create a seamless, user-friendly experience that drives higher conversion rates.

Dig deeper: Paid search for lead gen: Tips for new accounts with limited budgets

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2. Personalizing follow-ups with AI automation

Personalization is no longer a “nice-to-have” in CRO; it’s an expectation. 

AI tools allow businesses to automate follow-ups by using the data collected from forms to deliver highly targeted actions, moving leads from marketing-qualified to sales-qualified. 

Below are best practices for AI-powered follow-ups.

Instant responses

  • Outside of ensuring your webpage speed is optimized, try implementing AI-driven chatbots or automated emails to engage with leads immediately after form submission. 
  • This prompt engagement can significantly enhance user experience and conversion rates.

Multi-channel outreach

  • Combine email automation with SMS or social media follow-ups to increase touchpoints and meet leads where they are most active. 
  • This diversified approach can improve engagement rates and lead to nurturing effectiveness.

Hyper-personalization

  • Use AI to analyze user behaviors, preferences, and contexts.
  • This enables the delivery of highly personalized content and offers by leveraging tools such as heatmaps, live user tracking, and funnel analysis. 

Behavior-based sequencing

  • If a user doesn’t engage with the first follow-up, AI can trigger tailored messages based on their behavior. 
  • Use multi-channel outreach with AI automation to email follow-ups with SMS.

Dig deeper: Hyper-personalization in PPC: Using data to deliver tailored ad experiences

3. Beyond forms: Lead gen strategies without traditional forms

Not all lead gen businesses rely solely on forms.

Many companies operate in industries where forms aren’t the primary conversion tool.

Here’s how to optimize other lead collection methods:

  • Click-to-call campaigns: They are typically best for service-based businesses with clear “call now” CTAs in the ads and landing pages that use call tracking numbers to analyze ad performance. 
  • Chatbots and conversational ads: Chatbots could be a supplemental move for ecommerce where a user may have quick questions in real time before making a purchase. 
  • Paid social ads: Industries like education or business consulting, where simplicity is valued, can benefit from social ads on Meta or LinkedIn. These platforms allow users to submit their information without leaving the site, reducing lead friction. For international leads, click-to-WhatsApp messaging can minimize friction further.

While optimizing your forms and follow-ups is crucial, ongoing analysis of your campaigns is equally important. 

This helps refine A/B testing strategies and continuously improve lead quality through:

  • Offline conversion tracking: Integrate CRM data into Google Ads to identify campaigns and keywords generating high-quality leads. 
  • Qualifying fields: Add fields like budget or timeline to filter unqualified leads.
  • A/B testing: Test variations of form fields, layouts, and CTAs to improve conversion rates without sacrificing lead quality.

Dig deeper: Lead gen advertising in the automation era: How any brand can succeed

Final thoughts

PPC success requires more than strong ads. You need a strategy that goes beyond Google or Microsoft Bing.

By optimizing forms, using AI for personalized follow-ups, and exploring new lead-gen tactics, you can turn every click into real results.

This year, focus on refining your campaigns to generate leads that make an impact, not just traffic.

Read more at Read More

Like Lin-Manuel Miranda or Gene Kelly; Marketers can now be triple threats by Optimove

Lin-Manuel Miranda, creator and star of “Hamilton” and “In the Heights,” excels in acting, singing and dancing. Gene Kelly was a master of acting, singing and dancing, best known for films like “Singin’ in the Rain” and “An American in Paris.”

These artists are triple threats — literally one in a million. In fact, Miranda has talent that exceeds a triple threat as he is also a songwriter and producer, making him a quintuple threat.

Full stop.

Think about marketing and marketers. How many marketers do you know that are “triple threats?” These versatile professionals combine: 1) Data mastery, 2) Creative brilliance and 3) Optimization expertise. Many of us know very few triple threats. And it may have seemed impossible to do that – until now. 

Powered by AI and genAI, marketers are no longer confined by traditional job descriptions or siloed responsibilities. Instead, they seamlessly transition between strategy, execution and analysis, embodying a new era of marketing leadership. We call these marketers Positionless.

Their triple-threat capabilities are being made possible by AI and genAI technology. Here’s the composite of the Positionless Marketer:

1. Data Power: The analyst extraordinaire

Positionless Marketers wield data like an actor commands the stage. They analyze customer behavior in real time, using predictive insights to improve audience segmentation and tailor messaging. No longer reliant on specialized data teams, these marketers harness AI to make data-driven decisions on the fly, ensuring every campaign resonates with the right audience at the right moment.

2. Creative Power: The visionary artist

Creativity is no longer limited to design teams or copywriters. Positionless Marketers leverage tools like genAI to generate campaign assets — whether it’s stunning graphics, personalized emails or dynamic website content. They can ideate and execute creative concepts instantly, ensuring brand messaging is always fresh, relevant and aligned with customer preferences.

3. Optimization Power: The real-time director

Like a director refining a performance in real time, Positionless Marketers use AI to optimize campaigns on the go. Self-optimizing capabilities allow them to adjust messaging, offers and channels dynamically based on customer interactions. This ensures that campaigns remain agile, relevant and impactful, driving exceptional results without manual intervention.

Why it’s critical to be a Positionless Marketer in 2025

To meet the expectations and demands of consumers, marketers need to respond in real time. Essentially, they need to emulate a great in-person sales associate in a digital world. 

Customers demand hyper-personalization, real-time engagement and seamless omnichannel experiences. Only the Positionless Marketer can thrive in this environment, mastering the tools and technologies that make such experiences possible.

Key trends like AI-driven hyper-personalization, zero-party data strategies and accelerated marketing execution are driving this transformation. The Positionless Marketer is uniquely equipped to leverage these trends, balancing creativity with data insights and operational efficiency.

Just as the “triple threat” sets the gold standard in entertainment, the Positionless Marketer is becoming the benchmark for marketing excellence. They are versatile, adaptive and empowered by cutting-edge technologies, unlocking new levels of impact and efficiency.

This isn’t just about doing more; it’s about doing better—delivering campaigns that are not only effective, but also meaningful. The Positionless Marketer can move at the speed of a customer’s interaction with the brand ensuring that marketing remains a human-centered, value-driven discipline.

The future belongs to the Positionless Marketer

The Positionless Marketer embodies the future of marketing—one where data, creativity and optimization work in perfect harmony.

In this new era, the Positionless Marketer isn’t just a role; it’s a trend. And just like the most celebrated actors who can captivate audiences with their versatility, these marketers are redefining what’s possible, creating a world where marketing not only meets expectations but exceeds them.

The new great marketers have stepped into the spotlight as Positionless Marketers. 

Read more at Read More

Google Ads Search Max – new match type spotted

Google Ads (Credit: Shutterstock)

Google could soon launch a new feature in Google Ads called “Search Max,” designed to deliver smarter, more adaptable ad performance in response to the evolving search landscape.

What’s happening:

  • A Search Max option has appeared in the match type report for some advertisers, hinting at an upcoming rollout.
  • Lars Thoning Dybro first spotted the update, with Adriaan Dekker sharing additional details and a screenshot on LinkedIn.

What we know. We know little so far, as Google has not commented on this update. However, ecommerce expert Mike Ryan speculated that it’s an iteration of a “Smart Matching” match type test that he saw in 2021:

Why we care. Given Google’s track record with automated solutions like Performance Max, Search Max could indicate a major shift in how search advertising is conducted, potentially requiring advertisers to adapt their strategies and prepare for match types working in a brand new way.

Between the lines. While official details are sparse, this move aligns with Google’s trend toward automation and AI-driven advertising solutions, like Performance Max.

What’s next. Keep an eye on your Google Ads account for updates as this feature continues to surface. If Search Max is widely implemented, it could reshape search campaign strategies by streamlining ad creation and targeting.

Read more at Read More

Google introduces ‘Source’ column in Performance Max search terms insights

Optimizing your Performance Max campaigns with Google Ads, GA4 data

Google rolled out an update to Performance Max campaigns, introducing a new “Source” column in the Search Terms Insights. This enhancement aims to provide advertisers with greater transparency about why their ads are triggered for specific search categories.

What’s new:

  • The “Source” column explains Google’s reasoning for triggering ads for a particular search category, offering insights into ad performance and targeting logic.
  • Advertisers can use this data to better understand how search categories align with their campaign goals and audience targeting strategies.

How to access it. Check if the new column is available in your account by navigating:

  • Campaign > Insights and Reports > Insights > Search Terms Insights > Search Category

Why we care. The new “Source” column helps you understand the logic behind Google’s ad-serving decisions, enabling better optimization of campaign targeting and budget allocation.

First seen. This update was first brought to our attention by Natasha Kaurra on LinkedIn:

Zoom out. This update follows Google’s ongoing updates to provide advertisers with better tools to optimize campaigns and demystify ad triggers in Performance Max. By offering clearer insights into search term associations, Google aims to enhance campaign precision and advertiser confidence.

Read more at Read More

TikTok restores service in the U.S., credits Trump for reprieve

TikTok ban U.S.

TikTok is back online in the U.S. after a temporary shutdown left millions of users unable to access the app on Saturday.

TikTok said it was “in the process of restoring service” yesterday afternoon and credited President-elect Donald Trump for providing “clarity” that made the restoration possible.

TikTok’s partial return comes amid a chaotic backdrop of legal battles, political maneuvering, and ongoing concerns over national security. Despite the restoration, the app remains unavailable in Apple’s App Store and Google Play, complicating access for new users.

What happened over the weekend. TikTok shut down service for U.S. users late Saturday ahead of a federal ban going into effect. The app displayed a message that services were “temporarily unavailable.”

By yesterday at noon, TikTok began restoring functionality through its hosting and content delivery partners, Oracle and Akamai.

A pop-up in TikTok’s app now greets users with “Welcome back!” and attributes the restoration to Trump, stating, “As a result of President Trump’s efforts, TikTok is back in the U.S.!”

Why we care. Despite the uncertainty of there ever being ban, we can assume Trump’s effort will still be on the side of keeping TikTok active. This means for now, advertisers can maintain the strategies they were running before the weekend with continued access to the platforms 170 million U.S. users.

Behind the scenes. Trump announced he will issue an executive order on Monday extending TikTok’s sale deadline, promising “no liability” for companies supporting TikTok before the order takes effect.

Despite this assurance, Apple and Google have not reinstated TikTok in their app stores, citing legal risks tied to the ban’s enforcement.

Between the lines. TikTok is attempting to reassure advertisers, sending a memo stating that most U.S. users will regain access soon and ad campaigns will resume with limited functionality.

The Biden administration deferred immediate enforcement of the ban, leaving its implementation to Trump’s incoming presidency.

Yes, but. Pushback from Republican senators complicates the reprieve. Senators Tom Cotton and Pete Ricketts issued a statement calling the delay “legally baseless” and warning that tech companies aiding TikTok could face substantial fines.

What’s next. Trump has proposed a joint ownership model for TikTok, where U.S. stakeholders could hold a 50% share. ByteDance remains silent on whether it will agree to this arrangement.

Bottom line. TikTok’s future in the U.S. is far from certain. While the app is regaining some functionality, unresolved legal and political challenges loom large for ByteDance and its partners.

Read more at Read More

Start 2025 strong with data-driven strategies for retail success by Edna Chavira

Join our experts for this live panel discussion.
Join our experts for this live panel discussion.

The new year is the perfect time to sharpen your strategies and set the foundation for success. Join Data-Driven Strategies for Retail Success and learn how to harness the power of data and technology to elevate your marketing efforts.

Learn how leading brands are using cutting-edge techniques to drive results—and how you can apply these insights to your own strategy. Our expert panel will cover:

  • Optimizing shopper journeys with actionable data.
  • Using A/B testing to make impactful decisions.
  • Delivering personalized experiences at scale with AI.
  • Lessons from the past peak season to inform your 2025 plans.

Whether you’re a digital marketer, merchandiser, or executive, this webinar is your chance to start the year with a strategy that drives measurable growth. Save your spot here!

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Google Search faces new UK probe

The UK’s Competition and Markets Authority (CMA) opened an investigation into Google’s search dominance, marking the first major probe under new digital market rules.

The investigation could force changes to Google’s search business in the UK, where it controls over 90% of general search queries and serves 200,000+ advertisers.

The big picture. This probe follows the U.S. Department of Justice’s recent move to break up Google’s search monopoly and comes as AI reshapes online search.

Key details:

  • The investigation falls under the Digital Markets, Competition and Consumers Act (DMCC).
  • CMA will assess if Google has “strategic market status.” Such a designation would give regulators the power to mandate changes.
  • The agency is concerned about Google’s impact on news publishers and emerging AI search competitors.

Why we care. This investigation could change how Google displays and ranks ads in search results, potentially affecting ad costs and visibility. If regulators force Google to be more transparent or alter its search algorithms, it could impact ad targeting capabilities and ROI on search advertising spend.

What they’re saying. “We want to ensure there is a level playing field for all businesses, large and small, to succeed,” said Sarah Cardell, CMA chief executive.

Google “looks forward to engaging constructively and laying out how our services benefit UK consumers and also businesses, as well as the trade-offs inherent in any new regulations”, the company responded in a statement today.

What’s next. If designated with strategic market status, Google could face new restrictions on how it operates search and handles user data in the UK.

Read more at Read More

LTV:CAC explained: Why you shouldn’t rely on this KPI

LTV:CAC explained: Why it isn't the ultimate KPI

Savvy PPC marketers often praise LTV:CAC as a superior KPI for measuring profitability and guiding budget decisions. 

While insightful, correctly leveraging LTV:CAC is far more complex than it seems – and certainly not as straightforward as ROAS, which itself can be misleading.

To avoid missteps, it’s crucial to understand when LTV:CAC is useful, its limitations, and how a poorly calculated metric can lead you to the wrong north star. 

If your agency recommends increasing your PPC budget based on a “great” LTV:CAC ratio, be cautious. There may be critical nuances (or even conflicts of interest) at play.

This article breaks down the fundamentals of LTV:CAC, including:

  • What LTV:CAC is and why it’s important.
  • Common pitfalls when using the metric.
  • How to refine LTV:CAC, plus alternative KPIs.

What is LTV:CAC?

LTV:CAC (customer lifetime value to customer acquisition cost) measures the relationship between the value a customer brings to a business over time and the cost of acquiring that customer. It’s calculated as:

  • LTV:CAC = LTV / CAC

This ratio helps businesses assess whether their customer acquisition efforts are profitable. 

A higher LTV:CAC indicates that customers generate more revenue than their acquisition cost, while a lower ratio could signal inefficiency or unprofitable marketing.

Breaking down the components

LTV (customer lifetime value) represents the total revenue a customer generates throughout their relationship with a business.

Formula

  • LTV = (Average order value x Total transactions) / Unique customers

CAC (customer acquisition cost) is the average cost incurred to acquire a new customer within a specific period.

Formula

  • CAC = Total marketing costs / Number of new customers

Note: Always calculate both metrics using the same time period to avoid skewed results.

Why is LTV:CAC important – and how can it be dangerous?

LTV:CAC serves one core purpose: ensuring profitability. 

This KPI is critical for a company’s future because it measures whether the value generated from newly acquired customers justifies the cost of acquiring them.

It’s often compared to return on ad spend, or ROAS, (revenue generated by ads / ad costs) but goes a step further. 

While ROAS focuses on immediate returns, LTV:CAC considers the long-term revenue potential of a customer. 

This broader view can encourage marketers to lower ROAS targets and increase budgets, assuming future revenue will balance acquisition costs over time.

For example, imagine a marketer spends $30 to acquire a new customer who generates $30 in immediate revenue (100% ROAS). 

Based on historical data, the finance team predicts that this customer will make three additional purchases of $30 each, totaling $120 in revenue over their lifetime.

  • Total revenue = $30 (initial purchase) + 3 x $30 = $120
  • LTV = $120
  • CAC = $30
  • LTV:CAC = $120 / $30 or 4:1

This 4:1 ratio might suggest strong profitability and justify increased spending.

However, it can be dangerous.

Profitability metrics like LTV:CAC often require deeper financial oversight, yet marketers may lack visibility into key cost components, such as payback periods, retention variability, and operational costs. 

Misunderstanding these factors can lead to overestimations of profitability and misguided budget increases.

Let’s break down some of the common traps that make LTV:CAC a potentially misleading metric.

Dig deeper: 5 KPIs to measure paid media success and 5 to measure business success

7 common pitfalls of using the LTV:CAC ratio

1. Ignoring the impact of customer retention

LTV:CAC is often praised by top marketers as a superior KPI, which might tempt you to adopt it too. 

While it can be valuable in scenarios with high retention and repeat purchase rates (like SaaS), it’s not always reliable.

Before using LTV:CAC, run a retention analysis to answer: “How many times do my customers purchase on average over a set period?”

In ecommerce, customer retention is typically around 30% at best. 

Using the earlier ROAS example, if you spend $30 to generate $120 in revenue (400% ROAS), you might assume retention will increase total revenue by 30%, raising it to $156. This would suggest a higher 520% ROAS.

While appealing, it’s far from transformative enough to justify dramatically increasing your budget. 

2. Overlooking payback period and cash flow

Even if your retention is strong enough to justify using LTV:CAC as your north star metric and your ratio slightly exceeds the standard 3:1, increasing your PPC budget blindly can be risky.

Why? Because LTV:CAC doesn’t account for the payback period – the time required to recover CAC expenses, or how long it takes for revenue to break even with acquisition costs.

If your payback period is 12 months, customers won’t become profitable until the 12-month mark. 

During that time, your balance sheet remains negative, putting strain on cash flow and limiting your ability to reinvest in PPC campaigns or other growth strategies.

To scale faster, you need cash on hand since existing funds are already tied up in customer acquisition. 

Options include raising capital or improving fundamentals (e.g., lowering CAC, raising prices, or encouraging prepayment).

Bottom line: A positive LTV:CAC doesn’t guarantee you can safely scale your budget.

3. Misunderstanding marketing LTV vs. finance LTV

Marketers often calculate LTV using basic metrics like revenue – sometimes even pre-tax figures – resulting in inflated and misleading values. 

Naturally, both LTV and CAC should accurately reflect the balance sheet, but this is where many marketers go wrong.

Finance teams often step in to correct these calculations, which can lead to uncomfortable conversations if marketers lack financial literacy. 

To avoid this, marketers need to understand finance-level metrics and how their stakeholders calculate profitability.

LTV is fundamentally a finance KPI. Some finance teams calculate it using gross profit margin (COGS), while others factor in operating expenses (OPEX), making it closer to an EBIT-based KPI.

Ultimately, it’s not about challenging their process but aligning with it. 

To collaborate effectively, marketers should understand key cost components like:

  • Support.
  • Infrastructure.
  • Materials (for physical products).
  • Sales and marketing expenses.
  • Development costs.
  • Other operational expenses.

By aligning with finance teams and using accurate metrics, LTV:CAC can become a far more reliable KPI.

Dig deeper: 3 PPC KPIs to track and measure success

4. Miscalculating CAC by ignoring non-marketing customer sources

PPC, marketing, and other customer sources are critical when assessing CAC and its impact on LTV:CAC. 

Lowering CAC is an obvious way to improve the LTV:CAC ratio, but it can complicate calculating CAC accurately.

A common issue is calculating CAC by dividing total marketing costs by total new customers, disregarding other customer sources. 

In some businesses, where marketing drives about 95% of customer acquisition, this approach might not significantly affect the LTV:CAC ratio and simplifies the calculation.

However, this often overlooks non-marketing customer sources like word of mouth, viral organic content, or baseline growth.

This inflates the customer count, artificially lowering CAC and boosting LTV:CAC, creating a misleading impression of growth.

In the long run, this can lead to structural issues.

While some argue that word of mouth stems from branding or top-of-funnel campaigns, this is only sometimes true.

Many customer sources, such as referral programs, sales initiatives, or product-driven growth, are independent of traditional marketing or PPC efforts.

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5. Assuming all customers are equal

Assuming all customers are equal can lead to inflated LTV:CAC ratios and dangerous strategies. 

You might attempt to boost LTV and make LTV:CAC look better quickly, but this approach can be misleading.

A common mistake is calculating LTV as total revenue divided by total customers over a period, creating an average that hides differences between customer segments. 

Not all customers contribute equally in terms of revenue and retention.

For instance, if the average LTV is $480, it likely doesn’t reflect the actual distribution of customer value:

  • 60% of customers spend around $280.
  • 30% of customers spend around $600.
  • 10% of customers spend around $1,300.

If you aim for a 3:1 LTV:CAC ratio based on the $480 average LTV, you would set a target CAC of $160. 

However, for 60% of your customers, who only generate $280 in LTV, the sustainable CAC should be $93 ($280/3). 

This highlights a significant gap, as the average target would be too high for most customers.

Additionally, the top 10% of customers with a $1,300 LTV likely aren’t acquired through marketing, which complicates the calculation further.

Bottom line: Targeting a $160 CAC could be harmful. Focus on increasing LTV through targeted PPC efforts.

6. Disregarding changes in LTV fundamentals

The purpose of LTV:CAC is to validate marketing investments, assuming that both CAC and LTV are accurately predictable. 

However, these metrics can fluctuate significantly.

Consider a more advanced formula for LTV:

  • LTV = Monthly recurring revenue x Growth profit margin / Monthly cancellation rate

Each of these components is dynamic and depends on the company’s ability to maintain or improve its fundamentals:

  • MRR: Can you cross-sell or upsell effectively?
  • GPM: Can you enhance overall efficiency?
  • Cancellation rate: Are new competitors entering the market? Is the market shrinking?

For example, HubSpot reportedly tripled its LTV in just 18 months. Now, imagine a smaller company experiencing the opposite trend.

Bottom line: LTV is a forecast, not a certainty. Don’t place too much confidence in LTV or your LTV:CAC ratio.

7. Treating LTV as a strategy

While this might seem slightly off-topic for PPC practitioners, it’s crucial to grasp when collaborating with stakeholders.

Holding the LTV flag high without fully engaging with others can lead to issues.

Imagine you secure additional budget for performance marketing – great news! 

But as spending increases, CAC rises, making the LTV:CAC ratio worse. 

In response, you might raise prices to boost LTV.

Problem solved?

Not quite.

Higher prices may lead to increased monthly cancellations. Even worse, the new customers acquired with that extra budget might be of lower quality, spending less and churning faster.

The customer support team steps in, confident they can resolve these issues by expanding their efforts, which increases costs and strains cash flow.

This scenario highlights how LTV is deeply interconnected with various aspects of the business. 

Mistaking this metric for a stand-alone strategy can lead to missteps. It’s essential to use LTV as a tool, not a strategy in itself, to ensure sustainable growth.

How to ‘fix’ LTV:CAC, plus alternative KPIs

LTV:CAC can be a useful metric, but its complexity and potential for misinterpretation mean it requires careful handling. 

To make the most of this KPI and ensure it accurately reflects your business’s health, consider the following tips.

Low retention? Don’t use LTV:CAC

In ecommerce, if your repeat purchase rate is around 30%, LTV may not be a relevant metric from a marketing perspective. 

Instead, focus on CAC alone and aim to be profitable from the first order. 

This approach, though tougher, is more sustainable and reflective of genuine growth – think ROAS.

Improve retention through upselling, cross-selling, customer support, or product enhancements.

Dig deeper: How to analyze PPC performance metrics

Collaborate with finance

If using LTV makes sense, build a strong relationship with your finance team. 

Understanding their perspective will help you grasp why certain LTV targets are set. 

To achieve this:

  • Learn key financial terms.
  • Schedule regular alignment meetings.
  • Use agreed-upon data sources to avoid conflicts.

Never report on LTV:CAC alone

Because LTV:CAC encompasses multiple variables, it’s not a standalone metric. 

Include core components like cancellation rate and MRR in your reports. 

This clarity will help identify which components have shifted and guide your next steps. 

Remember, LTV and CAC are dynamic, not fixed.

Segment by customer groups

Segmenting your customer base allows you to pinpoint areas for improvement and identify which customers to exclude. Consider:

  • Calculating LTV over different timeframes (30 days, 90 days, 12 months).
  • Segmenting customers by cohorts, behavior, and profitability.
  • Differentiating between PPC, organic, and non-marketing customers.

Use LTV:CAC wisely

LTV:CAC is valuable for comparing PPC channels and marketing programs, but it’s a complex measurement tool. 

To avoid potential pitfalls, make sure to:

  • Conduct a retention analysis before relying on LTV:CAC.
  • Partner with your finance team to align on metrics.
  • Always segment customers, sources, and micro-KPIs.

Dig deeper: The fallacy of CTR as a KPI: Redefining PPC ad success

Read more at Read More

Amazon’s 2025 title policy update: Key changes and implementation guide

Amazon logo on building facade

Amazon recently announced significant changes to its product title policy, set to take effect Jan. 21. This update marks a shift in how sellers approach product listing titles on the Amazon platform. 

Amazon product title requirements

Titles have long been considered the most important piece of structured data on a product detail page for Amazon SEO.

This is especially true as the title appears not only on the search engine results page (SERP) and product detail page but also as the advertising copy for most ad types. 

In the private label Amazon spaces, in particular, title construction has prioritized exact keyword phrase matches in titles, leading to an increase in lengthy and unclear titles as sellers try to squeeze in as many keyword phrases as possible – a practice Amazon now aims to address through these policy changes. 

The policy makes the following changes

  • 200-character limit (or less) for titles. 
  • Disallowing special characters. 
  • Keyword repetition restrictions. 

Character length restrictions 

Amazon has progressively tightened character limitations across various listing fields in recent years. 

The new policy establishes a universal 200-character limit for most product categories, with some apparel categories facing even stricter constraints of 125 characters. 

Character length restrictions 

Amazon has always said it wanted concise titles. However, most sellers have found that longer titles can help with indexing and ranking. 

Amazon’s policy limits titles to 80 characters. (We usually recommend 100-200 characters.) 

This new restriction is not entirely unforeseen, as we have seen Amazon more aggressively enforce the existing 200-character title length in several categories in 2024. 

Disallowing special characters

Amazon has never been a fan of emojis in titles or decorative symbols, and they are now getting even stricter by only allowing a handful of special characters. 

“The special characters !, $, ?, _, {, }, ^, ¬, and ¦ are not allowed, unless they are part of the brand name.” 

You can still use pipes “|” and dashes “-” to break up your title, but most other special characters are being restricted with this new policy. 

The exception for this new policy for special characters is if the special character is part of the brand name. 

This will likely mean that the brand used in the Brand Registry and the trademark would include that special character. 

For example, if your brand was trademarked and registered as “TaDa!” Then you could include that in your title as it is part of your brand name. 

Amazon also says that some special characters will only be allowed in specific contexts: 

“Other special characters, such as ~, #, <, >, and *, are allowed only in specific contexts. For example, you may use these symbols as product identifiers (“Style #4301”) or measurements (“<10 lb”).” 

They also make sure to highlight that special characters are not to be used as decoration. 

 “Decorative usage of special characters is not allowed. For example, the title “Paradise Towel Wear Co. Beach Coverup << Size Kids XXS >>” is non-compliant because of the excessive use of symbols around the size.” 

Keyword repetition restrictions 

The most significant change addresses keyword repetition in titles. 

The new policy limits the use of the same word to no more than twice, with exceptions for prepositions, articles, and conjunctions. 

In practice, this means a word can appear twice but not three times. 

This change poses a challenge for sellers with traditionally repeated keywords to incorporate as many keyword phrases as possible into their titles. 

During Amazon’s AMA on Jan. 8, it was clarified that plurals and different forms of the same word will also count as repeated usage.

Amazon AMA - Repeated words
Amazon AMA - Duplicate words

Exceptions for brand names 

The policy makes an important distinction regarding brand names. Words appearing within brand names are treated separately from their use in product descriptions. 

“The brand name is also not allowed more than twice. If part of the brand name appears in the title in different context, then it is not considered a duplicate. For example, in ‘Old Navy and Navy Blue,’ the word ‘Navy’ is not considered a duplicate.”

One issue with this is how Amazon will determine where the line is if a keyword is used in a separate context. 

Amazon has also clarified that they will consider titles that repeat words, such as “loaf pan, muffin pan, baking pan,” to be duplicates. 

It looks like they will be looking for duplicates with a much wider net than anticipated when this was first announced. 

Implementation timeline and process 

Amazon will begin notifying sellers of non-compliant titles after Jan. 21, providing a 14-day window for resolution.

Non-compliant titles can be identified and managed through the Manage All Inventory tab in Seller Central.

If you have a brand with special characters or your primary purpose in your brand name, you will want to check for alerts as soon as the policy goes into effect in Seller Central in the Manage Inventory page. 

If you think you were flagged in error, you should submit a case to Seller Support as quickly as possible. This will allow you time to escalate the issue as needed before your 14-day compliance window is up. 

Changing titles in bulk

If you need to change multiple titles it is always best to do that with a flat file (.csv upload). To do this, you would take the following steps: 

Download category listing reports
  • Use the downloaded file to update titles. You can then use this file to update many listings all at once. You may be able to use find and replace within Excel to speed up title changes. 
  • Upload the files to Amazon. After the file processes, check for errors. It is also a good practice to wait 24 hours and visually check all updated listings to ensure the title changes are reflected in the system. Make sure you understand how flat file updates work and that you have the field that indicates full or partial updates completed correctly. 
  • Schedule time on Jan. 21 to review any recommended changes from Amazon. If you believe you should have an exception or if your listing was flagged in error, you may need to submit a ticket. 

Future implications 

This is a fundamental change in how sellers will approach titles (and, in turn, their ad copy). Amazon changes policies often, so it could be that they relax these requirements. 

However, I think these restrictions could help us enter a new era of more thoughtful and meticulously crafted titles that are ultimately more focused on catering to the customer than search algorithms. 

After all, clear, helpful titles are what turn browsers into buyers. 

Note: Links to Amazon Seller Central pages are generally accessible only to registered sellers who have an active Amazon Seller account.

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Google Ads launches new promo code formats for Promotion Assets

How to use the new customer acquisition goal in Google Ads

Google Ads expanded its Promotion Assets with new barcode and QR code options, giving advertisers more ways to share promotional offers.

These new formats make it easier for customers to redeem online and in-store offers, bridging digital and physical shopping experiences.

Details:

  • Barcode option supports multiple formats, including Aztec, Data Matrix, and EAN-8.
  • QR codes can contain up to 720 characters of text.
  • Links are not supported in QR codes.
  • Advertisers must provide valid barcode numbers for barcode format.

How it works. Advertisers can select either barcode or QR code options when creating Promotion Assets, then input their specific promotional information within the format constraints.

Why we care. These new promo code options provide more flexibility in running cross-channel promotions and can improve redemption tracking. The barcode format enables better in-store integration, while QR codes make it easier for customers to claim offers on mobile devices, potentially increasing conversion rates.

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First seen. This update first came to our attention when Google Ads Strategist Thomas Eccel posted it on LinkedIn:

Bottom line. This update gives advertisers more flexibility in how they present promotional codes, potentially increasing redemption rates through easier customer access.

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