When paid social costs rise: the ads, the audience or the offer?

Members of the Performance Marketing work group trace a rising acquisition cost to the step where it starts.

Updated October 13, 2026

Find the step where the cost rises, change one thing at a time, and judge the result on customers and revenue rather than platform CPA.

Read CPM, then CTR. Timothy Davis reads a higher CPM with steady CTR and conversion as a pricier auction. A CTR drop on the same audience points to tired creative, which a fresh ad confirms. Clicks that stop converting call for an audience test with the same ad and page.
Separate the offer from checkout. Mike Jacobs holds the ad and audience fixed and breaks out each step from product page to completed order, for direct and organic visitors too. A drop at shipping or payment is a checkout fix. A drop before add-to-cart across sources calls for testing the price or promise.
Judge winners on payback. Daniel Pearson compares the customers each variant brings in by cohort payback, since a cheaper first purchase can bring buyers who never return. A discount that lifts conversion can still weaken the offer's economics.
Check the platform's numbers. Mark Fiske reconciles platform conversions with new customers and revenue, and runs a holdout, volume permitting, if they diverge. Micah Moreau uses mature cohorts to estimate how many engaged visitors will buy within 60 to 90 days, and caps spend on a new audience while its cohort matures.

Group chat with Timothy, Mark, Daniel, Mike, Micah — the Performance Marketing work group

Question:

When paid social gets more expensive, how do you tell whether the ads, the audience or the offer is the problem?

Timothy DavisGrowth at ElevenLabs. Former Senior Lead, Growth Marketing at Shopify

I’d split the rise in acquisition cost at the point where it happens, then run one-variable tests.

Check CPM first, then CTR. If CPM rises across stable audiences and creatives while CTR and post-click conversion hold, the auction has gotten more expensive. If CTR falls for the same audience and placement, rotate a new hook or format against the existing ad. A fresh ad that restores CTR points to creative fatigue.
If clicks still come but qualified conversions fall, segment by audience and follow the path through trial, purchase, and revenue. Test a customer-based lookalike against the current audience with the same ad and landing page. I’ve talked publicly about starting with a 1% lookalike as a small-budget sign-of-life test, then widening the range if it works.YouTube
If multiple audiences click and stall at the same step, inspect the landing page, price, and purchase process before changing targeting. At IBM, demand in South Africa existed, but requiring payment in USD hurt conversion. Offering rand addressed that operational gap.YouTube

Keep placement, geography, attribution window, and spend comparable across tests. A rising platform CPA can also reflect a measurement change, so check actual customer and revenue outcomes before shifting budget.

Daniel PearsonCo-founder of Bamboo. Advisor to HexClad Cookware

Timothy’s breakdown gets you to the point of failure. I’d add a second check before calling any test a winner: compare the customers each variant brings in by cohort payback, the time it takes customer revenue to earn back acquisition cost.

A new creative or wider audience can improve CTR and first-purchase CPA while bringing in customers who buy once and leave. Conversely, a higher CAC may be fine if that cohort earns it back on a reasonable timeline. I’ve pushed teams to track historical cohorts for this reason, rather than optimize only for install volume or first-purchase CPA.

Substack

For an offer test, track purchase conversion and the value of those customers after the first order. A discount that rescues conversion while weakening payback changes the economics of the offer, even if the ad dashboard looks better.

Substack

Timothy DavisGrowth at ElevenLabs. Former Senior Lead, Growth Marketing at Shopify

Daniel’s cohort payback check is the right guardrail for deciding whether a cheaper CPA actually helped. I’d add an incrementality check before declaring that the offer or audience improved: rerun a lift study when platform-attributed conversions and customer outcomes tell different stories. I’ve seen the measured lift multiplier change when we reran a study, which changed whether the channel deserved more budget or less.

YouTube Hold the offer and creative steady during the audience test so a change in measured lift has a clear interpretation.

Mark FiskeManaging Director at H.I.G. Capital. Former VP of Growth and Marketing at Credit Karma

There is an operational trap in the diagnosis: the platform’s efficiency target may be disconnected from the company’s growth model. I’ve discussed channel managers finding their programs roughly 20% less efficient than they thought when an attribution model was updated. As spend scales, publisher reporting can miss incrementality and diminishing returns, so a clean-looking ad test may still justify less budget.

YouTube

Before deciding the fix is creative, audience, or offer, reconcile platform conversions against actual new customers and revenue at the company level. If they diverge, run a holdout where volume permits and reset the channel target using the incremental result. Otherwise the team can improve CTR or checkout conversion and still allocate the next dollar poorly.

Question:

Mike, Timothy says that when several audiences click but stall at the same step, he checks the landing page, price, and purchase process. How would you isolate the offer from checkout friction before changing the ads? Please draw on public work and cite a public source.

Mike JacobsChief Growth Officer at Consortium Brand Partners. Former VP of Growth at Etsy

I’d locate the drop before changing the ads. Keep the ad, audience, and traffic mix fixed. Break out product-page views, add-to-cart, checkout starts, payment attempts, and completed orders. Then check the same steps for direct and organic visitors. If people want the item and start checkout but fail at shipping, payment, or final total, fix that step and rerun the same traffic. If qualified visitors drop before adding to cart across several traffic sources, test the product promise, price, or incentive on the landing page while leaving checkout unchanged.

I’ve argued publicly that a great product, product-market fit, and expectations set in the marketing have to work together. That means checking whether the ad’s claim matches what the product page can actually deliver before labeling weak conversion an ad problem.

Apple Podcasts

For a considered purchase, I’d also track engaged visitors and their later purchases. In one digital business, our data found time on site predicted purchase 60 or 90 days later. An immediate conversion dip by itself could cause us to change an offer that was bringing in future buyers.

Apple Podcasts

Question:

Micah, Mike says a drop in same-session purchases can hide sales 60 to 90 days later. If paid social costs rise now, how would you decide whether to change the ad, audience, or offer before those sales arrive? Please use only public work and cite a public source.

Micah MoreauVP of Growth at OpenAI. Former VP of Growth Marketing at DoorDash

I’d set a provisional decision rule using mature cohorts before touching the campaign. For comparable past audiences, measure how often an engaged visit becomes a customer within 60 to 90 days, then use that relationship to estimate the current cohort’s likely payback. Keep the estimate separate from observed purchases, because a new offer or audience can change the relationship.

Meanwhile, hold the offer and audience fixed to test a fresh ad. Watch CPM, CTR, engaged visits, and checkout starts per thousand impressions. If the fresh ad restores qualified engagement, shift creative. If engagement holds but new spend reaches more expensive people, test the audience at the same offer and creative, and cap spend while the cohort matures. If engaged visitors across audiences consistently stall at the product page, test the offer with checkout unchanged. I’d reserve a holdout where volume allows, since the decision to raise spend ultimately depends on incremental customers rather than platform-attributed ones. I’ve argued publicly for causal return on spend because reported conversions alone can mislead budget decisions.

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Frequently Asked Questions

What should you check before adding budget to flat paid social?
How the channel is judged. Many plateaus are measurement or payback-target problems: a channel graded on platform reporting, or on blended CAC instead of marginal payback. Then widen lookalike bands and rerun lift tests.
How do you test whether paid ads bring in customers you wouldn't have gotten anyway?
Compare a group that sees the ads with one that doesn't, through a lift study, holdout or matched-market test, and divide the extra customers or revenue by spend. Then follow those customers until they pay back, and rerun the test as spend grows.
When is a marketing mix model worth building?
When a wrong split of the next budget would cost more than the model, the spend history varies enough to separate channels, and finance and channel owners will act on it. Check its estimates against holdout tests.

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Frequently Asked Questions

When paid social costs rise: the ads, the audience or the offer?

Performance Marketing

Frequently Asked Questions

What should you check before adding budget to flat paid social?

How do you test whether paid ads bring in customers you wouldn't have gotten anyway?

When is a marketing mix model worth building?

Your ideas, super powered.

When paid social costs rise: the ads, the audience or the offer?

Performance Marketing

Frequently Asked Questions

What should you check before adding budget to flat paid social?

How do you test whether paid ads bring in customers you wouldn't have gotten anyway?

When is a marketing mix model worth building?

Your ideas, super powered.