When 86% of Consumers Abandon the Funnel, So Should Your Strategy

You have a marketing budget. You have a model that tells you how customers find you and buy from you. And you have data showing your campaigns are working.

The problem? That model was built for a world that no longer exists.

The traditional marketing funnel, that neat progression from awareness to consideration to purchase, assumes people move in an orderly line. New research makes clear they don't. And the tools most companies use to measure what's working are built on that same flawed assumption.

The Funnel Was Always a Fiction. Now It's an Expensive One.

MiQ's Sigma platform spent seven days analyzing behavioral signals from 53 million households. The finding at the heart of their From Funnel to Flexibility report is blunt: 86% of people switch digital activities at least once an hour.

That's not the behavior of someone moving patiently through a funnel. That's someone watching TV while scrolling Instagram while comparison shopping on their phone. Within any given 30-minute window, large portions of consumers are watching content, browsing products, and actively buying, sometimes in the same session. The report also found that 91% of people use a second device while watching TV, which means a single ad impression can trigger a purchase decision in seconds.

The stages marketers design campaigns around don't reflect how decisions actually happen. When 42% of consumers describe their own path to purchase as "random," the funnel isn't a simplification. It's a misdirection.

What Gets Measured Gets Wrong

The deeper problem is that your measurement tools were designed for the funnel you no longer have.

Last-click attribution, the most common approach, gives 100% of the credit for a sale to the last thing a customer clicked before buying. That tends to be a bottom-of-funnel ad (think: a retargeting ad that follows someone around after they've already decided to buy). It systematically under-credits everything that actually built the interest: the brand video, the social post, the article that started the research.

The result is a feedback loop that punishes the work that drives decisions. Companies using last-click models typically under-invest by 30 to 50% in awareness-building activities while over-spending on bottom-funnel ads that take credit for conversions they didn't create.

Multi-touch attribution, the supposed upgrade, has a different flaw. It can only measure customers who already converted. It can't tell you whether your spend actually caused the sale, or whether those customers would have bought anyway. As Measured.com puts it directly: "Multi-touch attribution is a waste of time and money. This isn't a controversial statement anymore."

The financial scale of this problem is significant. According to IAB's State of Data 2026, 75% of marketing and media buying leaders say their core measurement approaches underperform. Industry estimates put wasted spend from attribution failures at over US$66 billion annually.

The Platform Math Doesn't Add Up Either

Even when attribution works as intended, platforms have a built-in incentive to overclaim.

Meta's attribution model credits Meta touchpoints. Google's credits Google touchpoints. When you run both simultaneously and compare reports, the combined reported conversions consistently exceed the number of actual sales in your own customer records. It's common for Facebook to report 100 conversions and Google to report 95, while your own system records 80 customers.

This isn't fraud. It's structural. Each platform measures its own contribution in isolation, without accounting for overlap with other channels or with customers who were already going to buy.

The downstream effect is budget allocation decisions made against data that every platform has a commercial reason to inflate.

What Actually Works: Respond to Behavior, Stop Predicting It

The MiQ Sigma report is direct on what should replace funnel thinking: "Marketing performs better when it is built to respond to behavior as it happens, rather than trying to guide it along a predefined path."

That shift is practical, not theoretical. It means building campaigns around signals of intent (someone actively comparing products right now) rather than assumed stages (someone who saw your ad last week and should be in consideration). It means coordinating across platforms rather than managing them in isolation, because a single impression on one channel can trigger immediate behavior on another. And it means taking seriously the "second-screen" reality: 91% of people watching TV are simultaneously reachable on another device.

On measurement, the emerging approach that senior marketers are moving toward combines three things. First, standard attribution data for directional signal. Second, incrementality testing, which runs controlled experiments to determine whether spend actually caused a conversion or would have happened anyway. Third, marketing mix modeling, which takes a broader statistical view of how different channels contribute to overall business outcomes over time.

None of that is simple. But the alternative is making multi-million-dollar decisions with tools that were designed for a consumer journey that 86% of your customers abandoned years ago.

The funnel didn't just stop working. It started costing you money you can't see.