MiQ Mapped 53M Households and Found Only 43% of Marketers Trust Measurement
MiQ's "From Funnel to Flexibility" report, published April 22, 2026, analyzed 700 trillion signals across 53 million households over seven days and surveyed 4,000 consumers plus 600 marketing professionals. The buried number isn't the 87% who switch digital activities hourly. It's that only 43% of marketers say they trust their own measurement, while 60% call standard measurement limited.
The MiQ study everyone is misreading
The headline coverage went one way: the funnel is dead. PPC Land led with it. MarTech framed the same study as "consumers ditch the funnel." That's a rich headline. It also obscures the more uncomfortable finding sitting one tab over in the same report: marketers don't trust their own data, and most can't customize their planning tools to fix it.
MiQ's Sigma platform pulled 700 trillion signals from 53 million distinct households across Australia, Canada, the UK, and the US during the first week of January 2026. Censuswide ran the surveys, splitting respondents evenly across those four markets between December 2025 and January 2026. So this isn't a panel of 200 people in one zip code. It's a serious sample, which makes the soft underbelly of the report louder, not quieter.
The number that should make CMOs uncomfortable
Buried in the survey of 600 marketers: only 43% feel confident in their measurement, 60% describe standard measurement as limited, and more than 80% want customized planning and measurement tools. That last figure is the tell. When 8 in 10 of your buyers say the off-the-shelf product doesn't fit, you don't have a measurement problem. You have a product gap that's been stable for years and that nobody has filled at scale.
I think most teams will read this and nod. Then keep buying the same MMM and MTA tools they've been buying since 2022.
Why the "broken funnel" framing lets marketers off the hook
The funnel-is-dead framing is comforting because it points the blame outside the building. Consumers got fragmented. CTV got messy. AI shopping showed up. None of that is your fault. Move on.
But look at the actual consumer data MiQ collected. 87% switch digital activities at least hourly. 91% second-screen during TV. 72% of under-34s have completed a full purchase inside a social app. Those numbers describe behavior that already existed in 2023 and 2024. They aren't new. Budget allocation just didn't keep up.
The Comscore programmatic data MiQ cites is more telling. CTV now sits at roughly 26% of programmatic budgets. Linear TV held the top spot for decades on far less granular evidence. So the question isn't "is the funnel broken." It's "why did 26% take this long when the consumption shift happened years ago, and what stage in that shift are you currently mispricing?"
The angle PPC Land didn't take
Read the PPC Land coverage carefully and you'll spot the contradiction. They quote Jordan Bitterman, MiQ's global CMO: "Couches have become the new storefronts." Then they list IAB's November 2025 incrementality guidelines as supporting context. Both things can't comfortably be true at the same time. If the journey can complete in 30 minutes inside a single living room, your incrementality test windows are calibrated for a world that no longer exists.
This is the part most marketers won't say out loud. The standard incrementality test holds out a market for 4-6 weeks. The MiQ data implies the relevant window is closer to a single evening for many categories.
What the data maps to in your media plan
Here's where it gets actionable. MiQ's 30-minute snapshot found 43% of consumers in a watching state, 23% browsing, 34% buying. Within the same window, 66% of browsers moved to buying, and 50% of buyers shifted back to watching. From what I've seen, most retail and DTC brands still allocate roughly 35-45% of paid spend to "consideration" or middle-funnel display, citing reach and frequency goals.
If MiQ's snapshot is even directionally right, the middle-funnel block is a stage that consumers don't sit in for long. They flicker through it. Which means a chunk of mid-funnel display impressions is being served to people who already moved on, or who never paused there to begin with.
The instinct will be to shift everything to last-click and call it a day. Don't. That's the same overcorrection 2014 made, and it produced a decade of attribution bias toward branded search.
The more honest move: take a single retail or DTC client account, look at the last 90 days of mid-funnel display spend, and pull a same-budget incrementality test against either pure first-touch (CTV or YouTube) or pure last-touch (Performance Max, branded search, social commerce). Set the holdout to 14 days, not 6 weeks. If the lift comparison stays inside the noise floor, you've answered the question for that account.
The measurement gap is the buying signal nobody is naming
Go back to the 80% who want customized measurement tools. That's a sizeable addressable opportunity sitting on the table for any platform that ships a real solution. MMM vendors have circled it. The hyperscalers have circled it. Nobody owns it.
The MiQ report is, in part, MiQ raising its hand for that opportunity. That doesn't mean MiQ wins it. It just means the gap is now publicly priced, which probably changes how aggressive the platform M&A looks over the next 18 months.
For a working marketer: when your platform reps start pitching "unified measurement" in Q3, that's the response to this report and the three before it.
One uncomfortable read on attribution
Most of the marketing world is still budgeting against attribution windows that assume a multi-day or multi-week journey. Meta's recent click attribution rewrite cut the engaged-view window down to 5 seconds, which we covered in Meta's attribution change. That move made more sense in light of MiQ's 30-minute behavior snapshot than it did when it was announced. Meta priced in the speed shift before MiQ measured it.
If your reporting still rolls up attribution on a 7-day click and 1-day view default, you're already two product cycles behind the platforms. That's not a tooling failure. It's a default that nobody updated because nobody had a public 53-million-household sample to point at. Now we do.
Three checks against the 60-minute window
Concrete moves, with a benchmark for each:
- Pull the last 30 days of GA4 or your DTC analytics suite. Count sessions where the time-from-first-touch to conversion is under 60 minutes. If that number is above 35%, your default attribution windows are misallocating credit. The MiQ implication: that bucket is now the median, not the tail.
- Audit your consideration-stage display spend against the same 60-minute window. Anything served to a converter inside that window is downstream credit, not upstream credit. Reclassify it. Your CMO probably budgeted it as branding.
- Stop running MTA and MMM in parallel as a hedge. Pick one for paid channel optimization, and build a single experiment cadence (monthly, not quarterly) that updates the priors. The MiQ data is most useful if you treat it as a forcing function on cadence, not on tooling choice.
The honest summary
The funnel isn't broken. The funnel was a planning tool, and planning tools fall out of date faster than the consumer behavior they describe. What's actually happening: a 60-minute real-world journey is sitting underneath a planning model that still assumes weeks. That gap is where 80% of marketers don't trust their own numbers.
I don't think the brands that win here will be the ones who ditch the funnel framework wholesale. It's more likely the ones who quietly shorten their measurement windows, run more experiments per quarter, and stop pretending mid-funnel display is doing the work the planning deck says it does.
Anyway, the report is worth reading in full. The Desk's coverage leans into the fragmentation angle. The 42% of consumers who described their purchase path as "entirely random" also got picked up across retail trade press. None of those headlines led with the 43% measurement-confidence number. Probably because once you say it out loud, the next question is which of your dashboards is wrong.
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