Indonesia Singapore ไทย Pilipinas Việt Nam Malaysia မြန်မာ ລາວ
← Back to Blog

Rising CAC and the Measurement Stack Under Pressure

When CAC rises and measurement vendors consolidate, shift budget toward platforms with first-party data depth — not those selling infrastructure promises.

By Neon Grizzly →
Editorial illustration of a media measurement stack cracking under financial pressure while streaming platforms rise
Illustrated by Mikael Venne

Customer acquisition costs are climbing. Here's what the VideoAmp layoffs and Roku's streaming gains reveal about where measurement spend should go next.

Customer acquisition costs are rising — again. If your response to that sentence is to optimise creative or tweak bidding rules, you’re treating a structural problem like a campaign problem.

The Measurement Layer Is Thinning Out

VideoAmp’s second significant round of layoffs in recent memory is not just a corporate story. It’s a signal about where the currency and measurement space is heading. The independent measurement challenger model — built on the premise that the industry needed an alternative to Nielsen, funded by the promise of a post-linear TV world — is colliding hard with commercial reality.

AdExchanger reports the company cut 50 jobs in its latest restructuring. The pattern matters more than the number. When measurement vendors shed headcount repeatedly, it typically means one of two things: the sales cycle is longer than the runway, or the product hasn’t sufficiently differentiated from what buyers can now get inside the walled gardens themselves. Neither is a comfortable position when your entire value proposition is independence.

For programmatic teams in Southeast Asia managing cross-channel spend across Meta, TikTok, Google, and regional platforms like LINE and Shopee Ads, this should prompt a direct question: how much of your measurement stack is genuinely platform-agnostic, and how much is just a dashboard bolted on top of pixel data you already own?

Roku’s Quarter and What CTV Actually Proves

While independent measurement vendors contract, Roku’s earnings tell a different story about where media value is consolidating. The platform continues to demonstrate that first-party data depth — knowing what users watch, when, and across which content categories — translates into advertiser pricing power that holding companies can’t easily replicate.

The structural advantage Roku holds isn’t the screen. It’s the identity graph. When CAC rises across performance channels, the brands that maintain efficiency longest tend to be those with access to high-intent, contextually rich inventory — and the measurement infrastructure to attribute it cleanly. Roku’s model shows what that looks like when a platform owns both the content relationship and the ad serving layer.

The parallel for Southeast Asia is the super-app ecosystem. Grab, LINE, and Shopee operate with a similar structural logic: they sit between users and transactions, which means their first-party signals carry conversion intent that no third-party DMP can approximate. Brands that have invested in direct integrations with these platforms — including clean room arrangements for audience matching — are materially better positioned as CAC climbs across open web inventory.


CAC Is a Measurement Problem Dressed as a Media Problem

Rising customer acquisition costs feel like a media buying issue until you look at where the inefficiency actually lives. In most regional programmatic setups, the biggest CAC leakage comes not from CPM inflation but from attribution models that overweight last-click or last-view signals — rewarding the final touchpoint rather than the channel that built the intent.

This distorts budget allocation in ways that compound over time. Performance Max campaigns, for example, absorb incrementality from brand and upper-funnel investment, then report conversion rates that look strong until you run a geo-based holdout test. Several large e-commerce brands across Thailand and Indonesia have discovered this the hard way after pulling back on awareness spend and watching retargeting efficiency collapse two quarters later.

The tactical fix is incrementality testing infrastructure — not a full-scale MTA overhaul, which most teams don’t have the data volume to run cleanly. Start with dark period testing on one channel, or geo holdouts on a market where you have enough conversion volume to reach significance within 4–6 weeks.

The Creator Economy’s Accidental Lesson for Brand Advertisers

Digiday’s profile of interior design creator Julie Sousa contains a lesson that applies well beyond the creator economy. Sousa resisted pivoting her content format until a manager pushed her toward it — and the pivot drove meaningful audience and revenue growth. The reluctant strategic shift, made under external pressure, outperformed the original model.

Brand advertisers are in an analogous position with their media mix. The channels and formats that feel uncomfortable — CTV on unfamiliar platforms, creator-led performance content, shoppable video on TikTok Shop or Lazada Live — are frequently where CAC is lower precisely because competition hasn’t fully priced in the inventory. The brands holding out for cleaner measurement or safer creative formats are, in effect, waiting for the moment the channel is expensive enough to feel familiar.

The measurement isn’t always perfect on emerging formats. But the cost of waiting for perfect measurement is now visible in the CAC data.


Key Takeaways

  • Consolidation in the independent measurement space means now is the time to audit which third-party vendors in your stack provide genuine incrementality over platform-native reporting — and which are duplicating it at cost.
  • Platforms with deep first-party identity graphs (Roku in the US, Grab and Shopee in SEA) will continue to command pricing premiums; structure your planning around access to those signals, not just CPM efficiency.
  • Rising CAC is frequently an attribution distortion problem — run one geo holdout test this quarter before adjusting media mix, or you risk optimising the wrong variable.

The uncomfortable question CAC pressure forces onto the table is whether the measurement infrastructure most brands have built is designed to find truth or to defend existing channel allocations. Those are not the same thing, and in a tightening margin environment, the difference between them starts showing up in the P&L.

At grzzly, we work with growth and media teams across Southeast Asia to build programmatic and measurement architectures that hold up under scrutiny — not just under favourable attribution windows. If your CAC trend is moving in the wrong direction and you’re not sure whether it’s a media problem or a measurement problem, that’s exactly the conversation worth having. Let’s talk

Neon Grizzly

Written by

Neon Grizzly

Fluent in DSPs, bid strategies, and the baroque architecture of the modern ad stack. Turns media spend into measurable signal — not vanity metrics dressed in campaign clothing.

Enjoyed this?
Let's talk.

Start a conversation