Do More With Less: Growth Marketing in Lean Budget Times

Marketing budgets are tightening, yet growth expectations remain. Learn how modern growth marketers drive results with limited resources through efficiency, retention, and rapid experimentation.

Over the weekend, headlines were dominated by the escalation of conflict in the Middle East. Oil prices jumped. Gold surged. Markets reacted instantly. When geopolitics moves, the global economy rarely stands still.

Inside companies, the response is often predictable. Budgets tighten. Hiring slows. Every line item gets questioned. Marketing is usually first under the microscope. Recent research suggests marketing budgets averaged around 7.7% of company revenue in 2025, continuing a steady decline from previous years. In other words, marketers are being asked to deliver more impact with fewer resources.

In times like these, growth is often the first ambition quietly pushed to the back burner. The logic seems sensible. If resources are constrained, expectations should be too.

But there is a flaw in that thinking.

No founder, CEO, or board member has ever rejected growth. What they reject is inefficient growth. They want it cheaper, faster, and far more measurable.

Which raises the real question. The challenge is not growth versus budgets. The challenge is how to achieve meaningful growth when resources are limited.

The best growth marketers understand something important. Constraints do not kill innovation. They sharpen it. Lean times force teams to focus on what truly drives results. And in many cases, that pressure leads to smarter strategy, stronger discipline, and better growth.


1. Efficiency Is the New Competitive Advantage

For most of the past decade, growth marketing followed a simple formula. Spend more, scale faster, and optimise along the way. Budget size often dictated market share.

That era is ending (or ended).

Today, growth is less about scale and far more about efficiency. Several forces are reshaping the economics of marketing. Advertising costs continue to rise across major platforms. Privacy changes have weakened data signals and attribution clarity. At the same time, the competition for attention has intensified.

The result is simple. Inefficient marketing has become extremely expensive.

Lean environments reward marketers who understand the mechanics of growth at a deeper level. The language of modern marketing is no longer impressions or clicks. It is unit economics.

Three metrics now matter more than anything else.

  • Balancing customer acquisition cost versus lifetime value,
  • Channel-level return on investment, and
  • Attribution that connects activity to revenue.

The tactical response is equally clear. Focus on channels that capture intent. Paid search and remarketing remain powerful because they meet customers at the moment of decision. Remove vanity metrics that look impressive but fail to move revenue. Shift investment toward the channels that generate the highest marginal return.

The companies that win in lean markets are rarely the ones spending the most. They are the ones wasting the least.

2. Retention Is the Most Underrated Growth Channel

When acquisition costs rise, most companies respond by trying to optimise their advertising. But the real opportunity often sits elsewhere.

Inside the customer base they already have. [Read more on how Retention is your untapped growth engine here]

Acquiring a new customer can cost at least five times more than retaining an existing one. Despite this, many organisations still allocate the majority of their budget toward acquisition.

This is a strategic imbalance.

Retention compounds growth. A small improvement in retention can dramatically increase lifetime value, which in turn improves acquisition economics. Strong retention turns marketing from a constant chase into a compounding engine.

The tools for retention are often simple but powerful. Lifecycle email and CRM programs nurture engagement across the customer journey. Personalised product recommendations increase repeat purchases. Loyalty and referral programs transform satisfied customers into advocates. Community building creates emotional attachment that competitors struggle to replicate.

Many companies search for their next growth channel in the market.

But the most profitable one is often sitting quietly in their database.

Your existing customers already trust you. That trust is the cheapest media channel you own.

3. Creativity and Experimentation Beat Budget Size

Constraints have a strange effect on marketing teams. They remove waste. But they also unlock creativity. Some of the most memorable marketing campaigns in history were born during periods of constraint. When resources are limited, teams are forced to think harder, test faster, and prioritise what actually works.

This is where experimentation becomes critical.

Large strategies built on assumptions are risky. Small experiments built on learning are far more powerful. Lean teams that run rapid testing cycles can discover winning ideas faster than organisations with far larger budgets.

Today’s AI tools make experimentation easier than ever. AI can accelerate creative production. Low-cost content allows teams to test ideas quickly across social platforms. Landing page builders enable rapid iteration. Short-form video creates opportunities for organic reach and viral discovery.

The key is to treat marketing like a laboratory.

Test different creative angles. Explore new audience segments. Experiment with messaging. Compare channels. Each test generates insight. Over time, these insights compound into a scalable growth engine.

Breakthrough growth rarely comes from a single big idea.

More often, it comes from dozens of small experiments that gradually reveal what customers truly respond to.

Lean teams move faster because they cannot afford not to.


Final Thoughts

Economic uncertainty will come and go. Budgets will expand and contract. Markets will rise, fall, and surprise us again.

But one truth rarely changes.

The best marketers are not the ones with the biggest budgets. They are the ones who understand how growth actually works.

Lean environments force clarity. They strip away the noise and the vanity metrics. Ironically, constraint often produces a better strategy than abundance. When every dollar matters, every decision becomes sharper. Teams test faster, measure more carefully, and focus only on what drives impact.

Growth does not disappear during uncertain times. The marketers who learn to operate this way today will be the ones leading tomorrow.

So if rising acquisition costs, budget pressure, or murky attribution are becoming familiar problems, it may be time to rethink the playbook.

Start with a simple question: Where is the next dollar of growth actually coming from?

Ready to grow even when budgets are tight? Let’s discuss.

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The CAC-LTV Balancing Act: Rising Costs and Smarter Growth

Customer acquisition costs are up 40–60%. Learn how B2C brands can rebalance CAC and LTV, protect margins, and drive smarter, more sustainable growth in 2026.

Recently, the people and clients I meet have been consistently telling me that their cost of growth is rising year on year. And that is alarming.

The cost of growth is soaring. What happens when the price to win a new customer jumps 50% practically overnight?

Growth marketers in 2026 are finding out. Customer acquisition costs (CAC) have surged by 40–60% since 2023, fueled by fierce competition, privacy changes, and murky attribution. Digital advertising, once a bargain, now eats a lion’s share of budgets. In some cases, 30–40% of a DTC brand’s revenue goes straight to ad spend.

The result? Profit margins shrink, and many companies are seeing red on new customers. It’s gotten so extreme that some brands find it cheaper to mail old-school catalogues than to run Facebook ads. This was a scenario unthinkable just a few years ago.

In this environment, growth at any cost won’t cut it. The game has shifted from “spend and acquire” to “acquire smarter and maximise value.”

How can we survive this shift? It starts by obsessing over the balance between CAC and customer lifetime value (LTV). If you’re paying $100 to acquire a customer who only brings in $80, you’re in trouble.

To stay in the black, LTV needs to beat CAC by a healthy margin. Ideally, this ratio is 3:1 or better. Every dollar spent to get a customer should return at least three dollars in revenue over that customer’s life.

Fast-growing B2C companies can still pull this off amid rising costs. Below, we dive into three strategies for balancing CAC with LTV and achieving smarter growth.


1. The New Reality: CAC Surge Squeezing Profitability

It’s official: acquiring customers is more expensive than ever. We are witnessing a fundamental decoupling of cost and value. Between 2013 and 2021, average acquisition costs skyrocketed so much that brands went from losing $9 on every new customer to losing $29.

That is a 222% increase in the cost drag, driven almost entirely by higher CAC and friction. In just the last two years, CAC has kept climbing by roughly 50%. We are living through a perfect storm. The precision of targeting has eroded due to privacy shifts, while competition has turned digital auctions into a bloodbath. Facebook’s cost per action has jumped so high that spending $230 to acquire a single customer is no longer an outlier; it is the new baseline.

These rising costs are crushing margins. If you used to pay $50 to get a customer and now pay $80, that extra spend is a direct tax on your survival. Many brands are literally losing money on initial sales. The traditional growth playbook, where flooding the zone with venture-backed ad spend, has hit a wall. To thrive, we must shift from “spend and acquire” to “acquire smarter.”

2. Smarter Acquisition: Cut Costs and Boost Efficiency

When CAC is rising, you cannot afford sloppy spending. You must channel your inner efficiency expert. The first lever of our balancing act is bringing CAC down by squeezing more conversions out of every single dollar.

  • Prioritise Lower-CAC Channels: Not all channels are created equal. Referral programs and word-of-mouth incentives often deliver customers at a fraction of the cost of paid ads. Content marketing and SEO require upfront effort, but they build an “equity” that makes future customers effectively free.
  • Optimise Ruthlessly: If you must spend on ads, make them work harder. Use first-party data to tighten targeting and rotate creative to prevent ad fatigue.
  • Master Conversion Rate Optimisation (CRO): Why pay for 100 clicks to get 5 customers if you can tweak your funnel to get 10? Recent data shows that advertisers focusing on conversion improvements rather than bidding wars are the ones maintaining a healthy CAC.

You cannot control the market price of an impression, but you can control how well you convert that traffic.

3. Maximising Lifetime Value: Keep Customers Coming Back

If rising CAC is the headwind, a higher Customer Lifetime Value (LTV) is the tailwind that offsets it. As Seth Godin might say, stop chasing strangers and start nurturing the ones you’ve already won.

Acquiring a new customer can cost **5–25X more** than retaining an existing one. A happy repeat customer comes “pre-acquired.” You don’t have to pay the “Zuckerberg Tax” twice. In fact, increasing customer retention by just 5% can lift profits by 25%–95%.

To truly maximise LTV, we focus on five battle-tested strategies:

  • Invest in Experience: Seamless support and fast shipping turn transactions into relationships.
  • Loyalty & Perks: Programs like Starbucks Rewards cultivate habit-forming loyalty.
  • Retention Campaigns: Use personalised SMS and email to win back business before a customer churns.
  • Thoughtful Upselling: Use data to suggest what they actually need, increasing the average order value.
  • Subscription Models: The “holy grail” of LTV is recurring revenue that locks in repeat value.

Crucially, you must measure your LTV:CAC ratio. Aim for the magic **3:1 ratio** — spend $1 to get $3 back. If your ratio is slipping toward 1:1, it is a red flag that your retention machine is broken. The healthiest growth comes from acquiring the right customers, not just any customers. It is far better to have 1,000 loyal fans than 2,000 one-and-done bargain shoppers.

The Takeaway: Every additional month or purchase you earn from a customer cushions the blow of that initial CAC hit. In 2026, the winners won’t be those with the biggest budgets, but those with the deepest relationships.


Final Thoughts: Growth That Sticks, Not Slick Tricks

Rising acquisition costs are the new gravity. A constant, downward pull on your margins. But gravity doesn’t ground the pilot who understands aerodynamics. The winners in this era won’t be those who simply spend the most on ads; they will be the ones who spend smartly and retain fiercely.

By reining in CAC through efficient, high-signal channels and elevating LTV through customer-centric strategies, you achieve the golden balance. This isn’t just a spreadsheet exercise; it is the only sustainable path to growth.

In practice, this requires a holistic shift. Marketing isn’t about pumping leads into a leaky funnel; it’s about building a base of profitable, loyal fans. Keep your LTV:CAC ratio as your north-star metric. Treat 3:1 as the thin line between a scalable business and an expensive hobby. When that ratio dips, don’t just ask for more budget — cut the CAC waste or amp up your retention efforts.

The cost of maintaining a customer is always less than the cost of winning a new one. The most successful brands understand that acquisition and retention are two sides of the same coin. They acquire smartly, then do everything possible to keep those customers happy for years. That is growth that compounds value rather than eroding it.

The deck is stacked with higher costs, but you can stack the odds back in your favour by maximising what each customer is worth. Those who master this balance will not only survive these turbulent times; they will thrive with unit economics that make profitability and growth two sides of the same success story.

Your Actionable Takeaway: Audit your LTV and CAC today. Where is your ratio? If it’s below 3:1, pick one acquisition expense to cut and one retention play to double down on this quarter. Small tweaks like a refined Google Ads target here, a new loyalty drip there, will move the needle. In a world of rising costs, let smart strategy be your competitive advantage.

Spend wisely, nurture relentlessly, and growth will follow.

Is your LTV:CAC ratio healthy enough for 2026? Reach out and let’s discuss how to rebalance your growth here.


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Cracking the Attribution Code: Marketing Measurement in 2026

Stop chasing the ghost of the click. Learn how to navigate the zero-click world of 2026 by mastering visibility as ROI, always-on incrementality, and Generative Engine Optimisation (GEO) to capture high quality leads.

Have you ever wondered if the data on your dashboard is lying to you? In my recent conversations with business leaders, the anxiety is real: organic traffic is cratering, while AI-driven signals are quietly surging.

For years, we treated the click as a sacred signal. A click meant interest, intent, and the comforting illusion that we were winning. But as we move into 2026, that tidy reality has shattered.

We are now living in a zero-click world. Nearly 60% of all searches now end without a single click to a website because AI engines provide answers directly on the search results page. This shift has turned our traditional attribution models into relics of a simpler time. We can no longer track the full customer journey with pixels alone.

This is what I call digital marketing’s dark matter: it is valuable, it is everywhere, and it is almost entirely untraceable. To survive, we must embrace intelligent uncertainty.


1. Visibility is the new ROI

Is your brand invisible if no one clicks on your website? This is the paradox of the AI funnel: while volume is plummeting, quality is skyrocketing. Clicks are falling, but brand impressions in AI Overviews are soaring by 49%.

AI-sourced visitors stay 4.1 times longer and deliver a 67% higher lifetime value than traditional search visitors. This happens because conversational interfaces act as filters. By the time a user finally clicks, they are not just browsing, they are deciding.

  • The Shift: Organic CTR has dropped from 15% in 2023 to just 8% in 2026.
  • The New KPI: Track branded search volume and share of voice in AI answers.
  • The Goal: If more people look for you by name, your invisible influence is working

2. Incrementality is the only truth

Are you paying for customers who would have bought from you anyway? This is the dirty secret of performance marketing. Last-click attribution often credits your ads for users already on a path to convert, inflating your ROI while masking wasted spend. In 2026, the only way to defend your budget in the boardroom is through incrementality.

Incrementality is not a measurement question; it is a systems question. It is about isolating the true lift that media creates. This requires a shift from tactics to infrastructure, where you run tests mid-campaign and optimise weekly.

  • Establish Baselines: Use holdout groups and geo-tests to find your true organic floor.
  • Parallel Systems: Run incrementality alongside old reports for one quarter to build trust.
  • Scale Gradually: Follow the 10% rule. Increase budgets gradually and validate every move with clean data.

3. GEO is the new SEO

In 2026, search engines are not just indexing your pages; they are learning from them. Generative Engine Optimisation (GEO) is about making your content machine-readable. If you are not found, you are not cited.

You are no longer just writing for people; you are writing to be part of the data AI learns from. Your goal is to become the trusted entity that the AI chooses to reference.

  • Optimise for Extraction: Use clear answer blocks of 40 to 60 words.
  • Entity Recognition: Implement Schema markup to boost your citation chances by 36%.
  • **E-E-A-T (Experience-Expertise-Authority-Trustworthiness)**: Use named experts with established authority to increase trust and citation probability.

Final Thoughts: Are you ready for the invisible hand to rewrite your rules?

Attribution in the AI age is no longer about the vanity of perfect tracking. It is about embracing intelligent uncertainty. The winners of 2026 will not be those with the prettiest dashboards.

The spoils will go to the marketers who build for citability, optimise for context, and ruthlessly value quality over volume. We must move faster from reporting what happened to understanding why it matters. The click as we knew it is gone, but the opportunity remains massive for those willing to adapt.

It is time to stop looking in the rearview mirror and start guiding the next move. If you are ready to scale with structure and navigate this new dark matter together, let’s talk.


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From Google to TikTok: Social Search Marketing in 2026

Discover how social search is replacing Google as the new discovery engine in 2026. Learn why TikTok, AI, AR, and S-SEO are redefining consumer intent, brand visibility, and the future of digital marketing.

A few years ago, my Saturday morning ritual was simple.

Coffee, injury reports, and a dozen Google searches to optimise my Fantasy Premier League lineup. Today, none of that involves Google. Instead, I’m scrolling through TikTok for last-minute injury whispers, wildcard hacks, and highest differential captain picks. Not because I’m trying to be cool, but because the best answers aren’t on search engines anymore. They’re on social feeds.

That tiny shift in my routine mirrors a massive shift in global consumer behaviour. Search isn’t dying; it’s relocating. Discovery, intent, and decision-making are no longer triggered by static blue links. They’re being shaped by dynamic short-form videos built by creators and algorithms that learn faster than we do.

This is the rise of social search. And in 2026, it’s no longer a sideshow. It’s the new operating system for consumer discovery, powering a global commerce engine on track to reach almost three trillion dollars.

1. The Great Discovery Migration: Why Search Moved from Google to Social

For years, we treated Google as the front door to the internet. Today, that door is shifting, and most brands haven’t noticed they’re standing in the wrong hallway.

1.1 The economic displacement

The data is blunt. 82% of consumers now use social platforms for product discovery**, with Gen Z leading the shift at 76%. Social commerce in the US is marching toward $150B, while global projections hit $2.9T by 2026. This isn’t a trend curve. It’s a tectonic plate moving under every marketer’s feet.

And here’s the uncomfortable truth: while consumers migrate to TikTok and Instagram for answers, many brands are still optimising like it’s 2015. They’re building for search engines while their customers are discovering through creators, comments, and chaotic-good algorithm magic.

1.2 Intent isn’t just typed anymore

On TikTok, intent is a behaviour, not a query. It shows up in the micro-moments: how long you hover, what you rewind, what you save at 2 AM. These signals whisper more about interest than any typed keyword ever could. Short-form platforms have become intent-discovery engines that don’t wait for you to ask a question; they predict the question before you know you have one.

1.3 What this means for brands

If your brand only appears when someone types into Google, you’re already behind. In 2026, visibility lives in the scroll. If your content doesn’t appear when someone laughs, pauses, shares, or stops mid-swipe, you don’t exist. The algorithm doesn’t care about your domain authority. It cares about whether someone watched your video twice.

2. S-SEO: Social Search Optimisation and the Rise of the Three-Layer Index

For two decades, SEO revolved around one thing: text. Keywords, tags, metadata. In 2026, the universe has expanded. Social search now requires a three-layer indexing strategy that mirrors how platforms actually understand content.

2.1 Layer 1: Textual Signals (Captions, Keywords, Hashtags)

Think of this as the foundation. Captions need natural-language long-tail keywords. Hashtags should stay tight and relevant, ideally three to five. No hashtag stuffing. No keyword salad. Write for humans first, algorithms second.

2.2 Layer 2: Visual Signals (On-screen text)

On-screen text is your new title tag. TikTok and Instagram don’t just show your subtitles. They read them. A clear phrase like “Best moisturiser for oily skin” on screen makes your content discoverable even before a user engages. It’s a scroll-stopper and an indexing cue rolled into one.

2.3 Layer 3: Auditory Signals (Spoken keywords)

Here’s the twist no one saw coming. With near-perfect AI transcription, spoken audio is now a search surface. If you say “budget-friendly running shoes” out loud, TikTok treats it like metadata. The algorithm hears you. Literally. Brands that don’t script spoken keywords into their content are leaving discoverability on the table.

2.4 Velocity Metrics: The New Ranking Factors

In the old world, backlinks built authority. In the new world, velocity builds relevance. Platforms elevate content using metrics that show immediate audience interest:

  • Watch time
  • Completion rate
  • Rewatches
  • Shares

The For You Page is the new Page One, and the only way in is through content that hooks in three seconds.

3. The Search Horizon: AI, AR, and Zero-Click Commerce

We aren’t just replacing Google. We’re outgrowing it. What’s emerging in 2026 is a search landscape powered by intelligence, personalisation, and frictionless commerce.

3.1 AI-driven hyper-personalisation

AI now orchestrates a dynamic experience for every user. Search results re-rank in real time. Product pages morph based on behaviour. Offers change depending on loyalty, price sensitivity, or previous interactions. This isn’t segmentation. It’s micro-personalisation at scale.

3.2 Visual search as the new discovery engine

TikTok Visual Search lets you find products by pointing your camera. No typing. No guessing. No Google. It’s a discovery without effort and intent without a query. A camera becomes the most intuitive search bar in the world.

3.3 AR as the new trust indicator

AR try-ons bridge the last gap between desire and decision. Want to see how the lipstick shade looks or whether the sneakers match your fit? Try them on instantly. One swipe later, you’re at checkout.

By 2026, discovery, research, and purchase no longer live in separate stages. They happen in one continuous motion, inside one app, powered by one algorithm that knows what you want before you articulate it.


Final Thoughts: The Search Singularity Has Arrived

We’ve crossed a threshold. Search is no longer a destination. It’s a behaviour woven into every swipe, pause, and rewatch.

What started as a small shift in how I choose my Fantasy Premier League captains has become a global reordering of how consumers discover, evaluate, and buy.

To stay visible in 2026, three strategic imperatives matter more than anything else.

1. Master S-SEO

Engineer every piece of content for layered indexability. Text, visuals, and spoken audio must work together as one search-optimised engine. If it isn’t indexable, it isn’t findable.

2. Prioritise authenticity

Trust has become the algorithm. UGC, detailed reviews, and micro-influencers don’t just make your brand relatable. They make it rank.

3. Profitable attention

Traffic is a vanity metric. The real KPI is attention that behaves with intent: the rewatch, the save, the share, the click that leads to action. Attention that compounds is the new form of ROI.

If Google was the library of the internet, TikTok is the living marketplace. The future of search isn’t typed. It’s scrolled.


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Attribution in the AI Age: Tracking the Invisible Hand

Discover why attribution is breaking in the AI era & how marketers can measure invisible influence from ChatGPT, Perplexity, & Google’s AI Overviews through new frameworks for the zero-click world.

Since last year, one of the things companies I’ve met always lament to me is that their organic search has been on a steady decline.

No matter how much content they churn out, how often they tweak meta descriptions, or how big their SEO budget gets, nothing seems to move the needle.

The game has changed.

While marketers fixate on cookie deprecation and privacy laws, a far more disruptive force has quietly rewritten the rules of digital discovery. Generative AI isn’t just another channel; it’s a black box that’s swallowing trafficout-converting search, and leaving attribution models gasping for oxygen.

Here’s the uncomfortable truth:

🔹 80% of consumers now rely on zero-click AI results for 40% of their searches.

🔹 When Google’s AI Overviews appear, organic CTRs collapse from 15% to just 8%.

🔹 Some industries already see 5–10% of top-funnel traffic originating from LLMs, and that’s just the visible part of the iceberg.

🔹 Even more startling: AI-driven traffic converts at 1.66% vs. search’s 0.15%. ChatGPT users? 16% conversion, versus Google’s 1.8%.

These aren’t rounding errors. They are seismic shifts in how discovery, intent, and influence work.

So, how do we measure what we can’t see?

How do we attribute revenue to conversational interfaces that strip away referrer data?

And how do we optimise for platforms where “ranking” doesn’t even exist?


1. The New Search Reality and the Zero-Click Apocalypse

Traditional search was tidy: query → click → website → conversion.

Linear. Measurable. Controllable.

The AI age shattered that pathway into a thousand probabilistic fragments.

Nearly 60% of all searches now end without a single click. AI Overviews make impressions soar 49% while clicks fall 30%. For publishers, SaaS firms, and education sites, that’s an existential threat when the top-of-funnel collapses, so does awareness.

And here’s the kicker: only 1% of users who see an AI Overview actually click a cited link.

Your content could power an AI’s answer, create user value, and build brand authority—and you’d never know it. No traffic. No pixel. No attribution signal.

Welcome to digital marketing’s dark matter: valuable, invisible, and untraceable.

2. The Quality Paradox

But buried in the chaos is a twist.

While volume plummetsquality skyrockets.

AI-sourced visitors view 3.2× more pages, stay 4.1× longer, and deliver 67% higher lifetime value. They refund less, refer more, and convert at rates traditional search would envy.

Why?

Because conversational interfaces act as pre-qualification filters.

Before clicking, users have refined their needs through multi-turn dialogue and received contextual recommendations.

When they finally visit your site, they’re not browsing, they’re deciding.

It’s the paradox of the AI funnel: fewer clicks, higher intent, zero visibility.

3. The Attribution Breakdown

Attribution in the AI age feels oddly familiar. It’s Mad Men-era advertising with modern dashboards. We know it works; we just can’t prove how.

Three problems define the crisis:

  1. No visibility into rankings. You can’t “rank check” a ChatGPT answer. There’s no Search Console for Perplexity (yet!).
  2. Inconsistent linking behaviour. Some LLMs link; others paraphrase without attribution.
  3. Broken referrer data. AI clicks often show up as “direct” or “organic,” burying true influence under digital noise.

We’re not facing a measurement problem.

We’re facing a visibility problem.

4. How do we Build a Playbook for the Invisible?

Here’s how modern marketers can turn fog into signal.

1. Track Proactively with Smart UTMs.

Add UTM parameters to community posts, documentation, and partner content. Anywhere LLMs crawl.

2. Build Custom LLM Segments in GA4.

Create filters for domains like chat.openai.comperplexity.ai, and gemini.google.com.

Compare engagement metrics versus organic and paid. The deltas will reveal where AI traffic hides.

3. Embrace Web-to-App Attribution.

Use unified links (like Appflyer’s OneLink) to track users moving from AI chats to mobile apps.

4. Speak the Language of Machines.

Structured data (Schema.org) boosts your chance of being cited by 36%.

Think FAQ, HowTo, Product, and Organisation markup. These are clear signals for LLMs.

5. Optimise for Generative Engines (GEO).

Write for extraction, not just humans.

Use question-based headings, bullet points, expert quotes, and concise stats. Make your content quotable by AI.

6. Accept Probabilistic Measurement.

Track indirect signals like brand search volume, direct traffic spikes, and post-launch cohort lifts.

Perfect attribution is dead. Intelligent triangulation is the new north star.

5. So What’s The AI-First Attribution Framework?

A modern model layers direct data with probabilistic signals:

  1. Direct Measurement – UTM links, GA4 segments, structured data
  2. Probabilistic Models – Markov chains, Shapley values, data-driven attribution
  3. Indirect Signals – Brand searches, direct traffic patterns, surveys
  4. Qualitative Intelligence – LLM audits, customer interviews, sales feedback

Together, these layers form a composite map of influence that is ****imperfect but actionable.


Final Thoughts: The Bottom Line

Attribution in the AI age isn’t about perfect tracking. It’s about embracing intelligent uncertainty.

The winners won’t be those with the prettiest dashboards.

They’ll be the ones who build for citabilityoptimise for context, and value quality over volume.

LLMs are now the new gateways to content, products, and apps. The visibility is murky, the attribution broken, and the opportunity massive.

Five years from now, we’ll remember 2025 as the year search split in two:

One world we could measure with precision,

and another that demanded faith, experimentation, and adaptability.

The question isn’t whether you’ll adapt. It’s whether you’ll adapt fast enough.


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Scaling Media Budgets Like Progressive Overload

Learn how progressive overload in fitness can transform your ad spend strategy—scale smarter, not faster, for sustainable marketing growth.

I’m a huge fan of the recently released *Physical: Asia.* While it’s disappointing that there were no representatives from Singapore, it was still a thrill to watch teams push their limits through sheer strength, endurance, and strategy.

The show also reminded me of something less cinematic: my own neglected strength routine. (I’ll admit it. My consistency dipped recently as we entered the -ber months.) When I finally got back under the barbell, the rust showed. My performance had slipped. And it hit me, strength training, much like media buying, punishes inconsistency and rewards progression.

Everyone understands the gym. You don’t walk in and max out every piece of equipment on day one. You’d either quit or get injured. Yet that’s precisely what most growth teams do with ad budgets. They find success at $1,000/month, panic that they’re “leaving money on the table,” and crank it up to $10,000 overnight, only to watch efficiency crater while their CFO demands answers.

The principle marketers should steal from fitness professionals is progressive overload: the systematic, incremental increase of stimulus to drive continuous adaptation and growth. The body doesn’t respond to chaos. Neither does the media ecosystem.

Small, deliberate increases in stimulus (your budget), paired with structured creative refreshes and rigorous measurement, unlock sustained ROI. Aggressive scaling, on the other hand, consistently destroys it.


1. Gradual Scaling of Ad Spend: The 10% Rule

In fitness, the Principle of Progression dictates that increases in weight, volume, or intensity should stay within 10% per week, enough to challenge the body without breaking it. Without this structure, you plateau or get injured.

Media budgets behave identically. Scale too fast and you trigger multiple problems:

  • The platform’s learning algorithm hasn’t stabilised.
  • Your audience reach lags behind your spend, creating overexposure.
  • Creative fatigues faster than the algorithm can optimise.

The result? Higher CPMs, lower CTRs, and a CFO quietly Googling “media audit.”

The smarter play is incremental scaling, e.g 10–15% weekly increases validated by data. This lets you:

  • Isolate cause and effect: When metrics shift, you know why.
  • Feed the algorithm properly: Give it consistent data, not chaos.
  • Map your true ceiling: Identify the point of diminishing returns before you hit it.

Think of it as compound interest for ad spend. A 10% weekly increase over eight weeks yields a 114% total lift without the burnout, waste, or algorithm confusion of a budget spike.

2. Avoiding Plateaus: The Adaptation Problem

Here’s where most scaling efforts fail: they treat creative as static.

In strength training, this is neural adaptation. The body stops responding to the same exercise. What once built muscle now just maintains it. Progress halts.

Advertising works the same way. Creative fatigue is neural adaptation at the campaign level. Audiences exposed to the same ad repeatedly tune out. CTR drops, CPA climbs, and performance tanks—not because of budget, but because the stimulus is stale.

So instead of cutting spending, refresh your creative.

  • Scale horizontally by increasing the budget on proven winners.
  • Scale vertically by testing new creative variations—angles, formats, psychological hooks.

Use periodisation, like elite athletes do:

  • Rotate creative “phases” every few weeks, from brand storytelling, education, to social proof.
  • Track frequency religiously: beyond 3 exposures (prospecting) or 5 (retargeting), fatigue accelerates.
  • Build weekly creative sprints, leveraging GenAI to multiply variations at speed.

With structure, creativity becomes your force multiplier. The best growth teams don’t just optimise bids, they optimise stimulus.

3. Tracking Performance Like Reps and Weights

A lifter who doesn’t log sets and reps isn’t training; they’re just moving weights.

Most marketers make the same mistake: glancing at dashboards like horoscopes, hoping for cosmic alignment. Real growth requires measurement discipline.

Your benchmarks are your barbell plates:

  • CTR: Measures creative relevance. Weekly tracking reveals fatigue trends.
  • CPA: The truth metric. Scaling only works if acquisition costs rise slower than spend.
  • CPM: The canary in the coal mine, if it climbs without results, your audience is saturated.

And like fitness tracking, context matters. Compare against a control group, not just absolute numbers. Incremental performance tells you what’s working, not what’s happening.

Finally, apply the concept of a deload week: a temporary reduction in volume to prevent overtraining. In marketing, that means throttling campaigns to let algorithms “recover.” Afterwards, performance often rebounds stronger.


Final Thoughts: Scaling media budgets isn’t a financial problem, it’s a stimulus-response problem

The fitness industry learned this the hard way: systems adapt to incremental stress, plateau under constant stress, and break under excessive stress. Media ecosystems are no different.

The playbook is simple, though few have the patience to follow it:

  1. Scale gradually. 10–15% increments. Validate every move with clean data.
  2. Refresh creatively. Rotate stimuli. Periodise your campaigns.
  3. Measure religiously. Benchmark, compare, deload, repeat.

Most teams will chase shortcuts by scaling fast, burning faster, then blaming the algorithm. They’ll look busy but move nowhere.

The winners? The ones boring enough to scale carefully, disciplined enough to measure relentlessly, and creative enough to keep the stimulus novel. They’ll look slow. They’ll be the ones actually moving.

Now, if you’ll excuse me, I have some literal progressive overload to do, and maybe, one day, Singapore will finally make it onto Physical: Asia.


🫶🏻 Thanks for reading till the end.

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In the Age of AI, Growth Marketers Must Become Storytellers

In a world where AI can write, analyse, and optimise better than humans, storytelling has become the last true differentiator for growth marketers. Discover why the future of marketing belongs to those who can turn data into emotion, metrics into meaning, and campaigns into connection.

I’ve got to be honest. I was doomscrolling on TikTok when I stumbled on a scene from a Steve Jobs biopic. In it, Jobs likens himself to a conductor. Aligning the orchestra of Apple’s technology so that it resonates emotionally with users. Here’s the clip. He wasn’t talking about marketing, but he might as well have been.

Because somewhere between the violin of creativity and the percussion of data, we growth marketers lost the music.

For the past decade, we’ve been optimising the life out of marketing. We turned creativity into calculus: A/B testing, bid optimisation, segmentation, attribution models. Growth marketing became a science experiment where “success” meant higher CTRs and lower CPAs. We traded instinct for dashboards and storyboards for spreadsheets.

And now, AI can do all of that better than us. It can write copy, analyse data, and optimise campaigns while we sleep.

So here’s the uncomfortable question: if AI can do everything we do, then what’s left for us?

The answer is the one thing machines can’t touch: the asymptote of human storytelling.


Setting the Stage: The Performance Paradox

When Optimisation Becomes Homogenisation

Growth marketing earned its stripes through ruthless efficiency: track, measure, optimise, and repeat. For years, it worked brilliantly until everyone started doing it.

Now, every brand looks like a clone of the next. The same keywords. The same templates. The same “We’re different” headlines were written by ten thousand marketers using the same AI prompt. We’ve built a world where performance marketing performs but doesn’t inspire.

The Dirty Secret of Performance Marketing

Here’s the thing no one likes to admit: performance marketing only works when you have something worth performing with.

You can’t A/B test your way to brand love.

You can’t retarget your way to loyalty.

And you definitely can’t optimise a story that never existed in the first place.

We’ve just been running faster on a treadmill, forgetting that efficiency without meaning just gets you nowhere, faster.

The Data Doesn’t Lie (But It Can’t Feel Either)

The irony? The numbers prove that numbers alone aren’t enough (pun intended).

  • Storytelling marketing has grown 46% in the last five years.
  • It drives a 30% increase in conversions.
  • People are 22× more likely to remember a story than a statistic.
  • Emotionally connected customers deliver a 306% higher lifetime value.

The ROI of emotion is real and irreplaceable.


1. AI Raises the Floor, Storytelling Sets the Ceiling

Jason Ing, CMO of Typeface, put it perfectly“AI raises the floor. Storytelling sets the ceiling.”

AI has democratised creation, but in doing so, it’s flooded the market with sameness. Everyone can generate a LinkedIn post, write an ad, or draft a blog in seconds. The result? An ocean of content and a drought of connection.

Even OpenAI, the company that could automate its own marketing, chose to film its first brand ad on 35mm film, using real actors, a real director, and real emotion. Because even the architects of artificial intelligence understand that emotion cannot be synthesised.

In a world where 94% of consumers worry about misinformation and 86% say authenticity drives brand choice, the paradox is clear:

AI abundance has created an authenticity drought.

2. The Algorithms Can’t Feel What We Feel

Author Ken Liu once said“You are constructing artefacts out of symbols.”

That’s what data does. It translates reality into representation. But unlike machines, humans don’t just read symbols, we feel them.

Data can simulate language, but not meaning. AI can produce sentences, but not sentiment. It can write content, but not a connection.

A story isn’t an information packet; it’s a mirror held up to the soul.

What makes stories powerful isn’t logic, it’s liminality: the space between words where emotion lives, where we find resonance, nostalgia, and hope.

3. From Data to Dragons

Scott Galloway once said, “Storytelling isn’t decoration, it’s the strategy.” And he’s right. The companies that master narrative don’t just gain market share, they gain mindshare.

Consider these examples:

  • ASICS blended AI-powered personalisation with authentic storytelling—and had one of its best-performing years ever.
  • Travel Oregon’s “Only Slightly Exaggerated” campaign turned tourism into emotion, generating over $50M in economic impact.
  • Airbnb didn’t sell rooms; it sold belonging—a narrative that built a global movement.
  • Dos Equis didn’t just push beer; it introduced The Most Interesting Man in the World, and grew sales 26%.

Seth Godin’s old truth still applies: “People don’t buy products. They buy stories that make them feel something.”

In other words: data convinces, but stories convert.

4. The New Growth Marketing Stack

Tomorrow’s growth marketer must be bilingual. Fluent in both data and drama.

  • Data gives you efficiency: analytics, automation, attribution.
  • Drama gives you empathy: narrative, character, emotion.

In this new partnership:

  • AI handles at scale, the pattern recognition, automation, and distribution.
  • Humans handle the soul, providing context, meaning, and emotional intelligence.

Personalisation is easy. Personal meaning is hard.

5. Building the Narrative Muscle

The most in-demand marketing skills for 2025 aren’t technical, they’re human.

Creativity. Communication. Storytelling.

Your new role as a growth marketer isn’t just to analyse metrics, it’s to translate them into meaning.

Start here:

  1. Define your origin story. Why does your brand exist beyond profit?
  2. Make the customer the hero. Your product is the tool that helps them transform.
  3. Use the three-act structure. Setup. Conflict. Resolution.
  4. Be authentic. 64% of consumers crave emotional connection. Don’t fake it.
  5. Treat data like myth. Numbers tell you what. Stories tell you why.

Because in the age of AI, the growth marketers who win won’t just be analysts.

They’ll be architects of emotion.


Final Thoughts: The Asymptote Advantage

Jason Ing said it best: AI is an asymptote. It will get infinitely close to human storytelling, but it will never touch it. And that tiny gap, that sliver of imperfection, is your edge.

When every marketer has access to the same AI tools, prompts, and playbooks, your story becomes the ultimate differentiator.

Growth marketing and brand storytelling are no longer two disciplines. They’re two sides of the same coin.

Storytelling gives depth. Performance makes it scale. Together, they form the only strategy that still feels human in an algorithmic age.

So the question isn’t if AI will change marketing. It already has. The real question is: in five years, how will we be remembered?

As the generation that turned marketing into math?

Or the one that rediscovered its soul?

So let the machines optimise. You humanise.

Now, close your analytics tab. Open a blank page. And ask yourself, quietly but honestly:

“What story am I trying to tell?”


🫶🏻 Thanks for reading till the end.

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The AI Wars Just Got Personal: Google’s AI Agents Are Now Running Your Ads

Google just changed the rules of digital marketing at I/O 2025 with the launch of AI agents in Google Ads. Discover what this means for growth marketers, how to adapt, and why working with AI—not against it—is your next competitive edge.

So this just happened earlier this week… The AI Wars Just Got Personal and They’re Inside Our Ads Account

We are now living in the AI Wars, and Google just sent in the ‘Terminators’.

At I/O 2025, the tech giant didn’t just unveil new features. It unleashed a battalion of AI agents — smart, tireless, and fully integrated into Google Ads. For growth marketers, this isn’t science fiction.

Forget faceless robots waging war in distant dystopias. These are inside your ad platform, rewriting headlines, adjusting bids, and optimising performance before you’ve had your morning coffee. If ChatGPT were the polite intern, this? This is Skynet learning to run media buying.

And here’s the twist: it’s not here to kill your job but to challenge it.

The bigger AI picture is becoming clearer: OpenAI leads in user adoption, Microsoft in enterprise productivity, but Google is coming for the growth stack. With unmatched access to user intent (hello, Search) and now Gemini-powered agents baked into every corner of its ecosystem, Google is rewriting what it means to do marketing in the AI era.

This isn’t about automation anymore. It’s about augmentation, and the marketers who know how to ride the wave instead of running from it will be the ones standing when the smoke clears.

If you thought performance marketing was already moving fast, buckle up. The new era isn’t just faster — it’s smarter, always on, and increasingly… not human.


Google I/O 2025: What Just Hit Us?

Google didn’t just update its product roadmap. It reprogrammed the marketing playbook.

At I/O 2025, it launched a suite of AI innovations that feel less like feature upgrades and more like an existential retooling. The most headline-worthy? AI agents are now fully embedded inside Google Ads. They don’t just help marketers. They do what we used to do — only faster, cheaper, and without needing coffee or a quarterly bonus.

But before we jump to “machines-are-taking-over” paranoia, let’s decode the actual announcements and what they mean for us on the front lines of growth.

🧠 AI Mode in Search: From Keywords to Conversations

Google’s new AI Mode turns traditional search into a full-on dialogue engine. You no longer get a list of links. You get synthesised answers, action steps, and the option to “keep going” with contextual follow-ups.

For growth marketers, this is both a dream and a nightmare. A dream because the customer journey becomes frictionless. A nightmare because we now need to optimise for conversations, not just clicks. Your SEO strategy just got an AI-shaped curveball.

🌊 Project Mariner: Your Agent Will Google That For You

Project Mariner is Google’s multitasking AI assistant. It doesn’t just respond — it acts. Think of it as the intern who not only researches the best CRM tools but also signs you up for trials, syncs your calendar, and sends a Slack update to your boss.

Implication? Expect a rise in fully automated conversion flows — all handled by AI. From a growth perspective, this means our new funnel touchpoints may no longer be human at all.

🧬 Gemini 2.5 Pro & Deep Think: Strategy as a Service

The brains behind the operation are Gemini 2.5 Pro, now with Deep Think mode. This isn’t your average autocomplete. It simulates layered reasoning, evaluating options before delivering an answer, like an analyst who’s actually good at their job.

This upgrade unlocks new possibilities in campaign planning, budget modelling, and even creative strategy. You’re not just delegating execution to AI — you’re increasingly delegating thinking.

AI Agents in Google Ads: Meet Your New Teammate (or Replacement?)

Google’s bet is clear: AI isn’t just a tool — it’s the new teammate. And these AI agents? They’re here to handle the grind so you can focus on the strategy.

⚙️ Functionality

These agents chew through your campaign data, generate creatives on the fly, optimise bids in real time, and even draft your performance wrap-up reports. They’re not perfect, but they’re relentless.

📈 Smart Bidding, Upgraded

AI-powered Smart Bidding Exploration takes historical data, cross-references with live signals, and calibrates for ROAS like a hedge fund algorithm. It’s not just about cost-per-click anymore; it’s about predictive profitability.

🎨 Creative Superpowers

Pair this with tools like Veo and Imagen, and you’ve got a creative engine that drafts high-quality ad visuals and videos at scale. We’re entering a world where every growth marketer is also a creative director, without needing to learn Photoshop.

What This Means for Growth Marketers?

Now let’s talk reality.

This isn’t just another shift in platform mechanics. It’s a redefinition of what “marketer” even means. AI won’t replace your job, but it will replace parts of it.

So the question isn’t “Will AI take my job?” It’s: “Will I know how to work with AI, or will I be replaced by someone who does?”

⏱️ Efficiency Gains: The End of Busywork

You’ll spend less time toggling through dashboards and more time making actual decisions. That’s a win. Campaign builds, creative iterations, and performance reviews are all streamlined.

🧭 Strategic Shifts: From Operator to Orchestrator

You’re not setting the dials anymore. You’re telling the system what outcomes matter and letting it figure out the rest. The value now lies in judgment, creativity, and context, not in button-clicking expertise.

🧠 Skillset Evolution: The 2025 Growth Stack

To stay ahead, you’ll need:

  • Comfort with prompting and AI workflows
  • Fluency in interpreting AI-generated insights
  • The ability to spot strategic angles machines still miss

This is your call to upskill — not just with courses, but with curiosity. Learn to speak AI as fluently as you speak ROAS.

Read more about how AI is impacting Performance Marketing here.

⚠️ Challenges Ahead: Not All Smooth Scaling

  • Control & Oversight: What happens when the AI makes decisions that don’t align with your brand voice or creative instinct?
  • Transparency: Can you explain to your client (or your boss) why the AI paused half the ad groups at 2 AM?
  • Adaptation Fatigue: Yes, it’s exhausting. But the 1% daily improvement mindset? That’s your edge. Don’t chase perfection. Compound progress.

Read more about the 1% compounding effect of improving your life here.

Final Thoughts: Embracing the AI-Driven Future

In 2023, we learned to prompt. In 2024, we started experimenting. In 2025? We partner with AI, or risk being left behind by those who do.

Google’s latest announcements don’t kill the role of the growth marketer. They kill the old definition of what a growth marketer is. What rises in its place is someone more strategic, more curious, and more adaptable.

So, my fellow comrades, the war is on. But you’re not being replaced by a robot.

You’re being upgraded.

🫶🏻 Thanks for reading till the end.

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Boosting ROAS the Smart Way: The Math Behind More Profitable Ads

Learn how to optimize ROAS with smarter strategies. Discover the math behind Return on Ad Spend and how improving Average Basket Size, Conversion Rate, and Cost Per Click can drive better ad performance and profitability.

I’d be honest. When I first moved into digital marketing from a background in math and quantitative finance, I saw things a little differently. While most marketers focused on creative storytelling and audience psychology (which are undeniably important), I naturally gravitated toward the numbers. I wanted to break down ad performance the way I would analyze financial models—through data, formulas, and strategic optimizations.

One of the biggest misconceptions I’ve seen in performance marketing is the belief that cutting costs alone improves Return on Ad Spend (ROAS). Many marketers think that slashing CPC (Cost Per Click) or reducing spending on “underperforming” campaigns is the key to profitability. But that’s only part of the equation.

ROAS isn’t just about how much you spend, it’s about how much value you generate from every dollar. And to truly optimize ROAS, you need to understand its mathematical makeup. In this post, I’ll break ROAS down into its three core componentsAverage Basket Size (ABS), Conversion Rate (CVR), and Cost Per Click (CPC), and show you the strategic levers you can pull to drive better ad performance.

Let’s get into it. 🚀

What is ROAS? (Defining the Formula)

Let’s start with the basics. Return on Ad Spend (ROAS) is one of the most critical metrics in performance marketing. It tells you how much revenue you’re generating for every dollar spent on advertising.

ROAS Formula:

For example, if you spend $1,000 on ads and generate $3,000 in revenue, your ROAS is $3,000 / $1,000 = 3

This means you’re earning $3 for every $1 spent.

While a higher ROAS is ideal, blindly optimizing for it by just cutting costs can be misleading. To truly maximize ad performance, we need to break it down further.

Breaking Down ROAS: The 3 Key Components

ROAS is influenced by three key factors:

1. Average Basket Size (ABS)

What it means: The average amount a customer spends per purchase.

Why it matters: If customers spend more per transaction, your revenue increases without needing more conversions.

2. Conversion Rate (CVR)

What it means: The percentage of visitors who clicked on an ad and made a purchase.

Why it matters: Higher conversion rates mean you extract more value from the same traffic.

3. Cost Per Click (CPC)

What it means: The cost of acquiring each visitor to your site.

Why it matters: Lowering CPC without sacrificing traffic quality means getting more conversions for the same budget.

Rewriting ROAS using these components:

This equation makes it clear: To improve ROAS, you need to increase ABS, improve CVR, or lower CPC. Let’s dive into how you can optimize each.

Strategies to Improve ROAS via Each Component

A. Increasing Average Basket Size (ABS)

Let’s take an e-commerce brand as an example. Instead of focusing on acquiring more customers, they increased revenue by maximizing how much each customer spends.

Tactics to Increase ABS

✅ Upsells & Cross-sells: Recommend complementary products (e.g., “Frequently bought together” or post-purchase upsells).

✅ Bundling: Offer product bundles at a slight discount to encourage higher spending.

✅ Free Shipping Thresholds: Set free shipping at a slightly higher value than the average order to push customers to buy more.

🛍️ Case Study: Ravin Boosting Average Basket Size (ABS)

Ravin, an online fashion retail brand, implemented Wiser’s product recommendation engine to enhance customer engagement. By displaying related and frequently bought together items on product pages, they achieved a 30% increase in conversions and a 12% increase in sales.

B. Boosting Conversion Rate (CVR)

Let’s say you’re running a subscription app. You get clicks, but many users drop off before converting. Improving CVR means turning more of those clicks into paying customers.

Tactics to Improve CVR

✅ Landing Page Optimization: Make checkout seamless, ensure fast-loading pages, and optimize for mobile.

✅ A/B Testing Offers & Creatives: Experiment with different CTAs, ad visuals, and pricing models to see what converts best.

✅ Trust Signals & Social Proof: Showcase reviews, testimonials, and security badges to reduce buyer hesitation.

🥗 Case Study: FastEasy Boosting Conversion Rate (CVR)

FastEasy, a mobile fitness app, faced challenges in efficiently conducting A/B tests for their campaigns. By integrating Reteno’s AI-powered marketing automation platform, they were able to run multiple experiments simultaneously without relying heavily on developers. This approach led to a 29% boost in conversion-to-subscription rates.

C. Lowering Cost Per Click (CPC)

A mobile gaming app wanted to scale its paid campaigns while maintaining profitability. Lowering CPC without sacrificing quality was the key.

Tactics to Reduce CPC

✅ Better Targeting: Use lookalike audiences, retargeting, and negative exclusions to focus on high-intent users.

✅ Ad Quality Score: Platforms like Google Ads reward high-relevance ads with lower CPCs. Improve ad copy, CTR, and landing page experience.

✅ Bid Optimization: Adjust bids based on performance insights such as time of day, device, and geo-targeting can significantly impact CPC.

🕹️ Case Study: Voodoo Games Lowering Cost-per-Install

Voodoo Games, a French mobile game publisher, by actively testing more than 500 videos a week for their hit game Mob Control, reduced their CPI and surpassed $200M in revenue at an average of 150% ROAS.

Final Thoughts: The Smarter Approach to ROAS

Improving ROAS isn’t just about spending more, it’s about spending smarter. By understanding the math behind ROAS and optimizing its key components — Average Basket Size (ABS), Conversion Rate (CVR), and Cost Per Click (CPC), you can make strategic, high-impact changes that drive better profitability.

At the core of all successful ad campaigns is data-driven decision-making. Testing, iterating, and refining based on real numbers, not just gut feelings, ensures that every dollar you invest works harder for you.

So, what’s your biggest challenge with ROAS? Drop a comment below, and let’s discuss! 🚀