Yapamar

Marketing Mix Modeling
& Budget Intelligence Platform

[Yapamar @YapamarMMM]

Introducing Yapamar: a B2B Marketing Mix Modeling platform that helps performance marketing teams, e-commerce brands, DTC companies, and digital agencies measure the real incremental impact of every advertising channel.

Real contribution analysis.
Smarter budget decisions.

https://t.co/vOqYKaWrLy

[Yapamar @YapamarMMM]

Most marketing metrics look more precise than they actually are.
A ROAS of 4.2x or a contribution of 18.7% creates a feeling of accuracy that the data rarely supports.
False precision leads to overconfidence and brittle decisions.
You start treating directional signals as exact truths.
When was the last time you acted on a number as if it was precise — instead of just directional?

[Yapamar @YapamarMMM]

8/8
Look at your last three months of work.
How much energy went into improving existing levers
versus questioning whether those levers are still the right ones?

[Yapamar @YapamarMMM]

1/8
Most performance teams become very good at optimizing the things they can already control and measure.
Bids. Audiences. Creatives. Small budget shifts between existing channels.
They become much worse at questioning the bigger assumptions.

[Yapamar @YapamarMMM]

7/8
Local optimization feels productive because the feedback loop is fast and clear.
Strategic questions feel slower and riskier — so they get postponed.
Over time this creates a team that is excellent at refining the current approach and weak at updating it.

[Yapamar @YapamarMMM]

Most teams systematically over-invest in what they can measure precisely
and under-invest in what is harder to measure but often more important.
Brand building, new demand creation, and long-term effects get less budget
because they are messier to attribute.
The measurable becomes the managed — even when it’s not the highest-leverage work.
Do you underweight the hard-to-measure activities in your budget decisions?

[Yapamar @YapamarMMM]

8/8
When was the last time you looked at a holdout or geo-test and asked:
“Was this test actually designed well enough to trust the conclusion?”

[Yapamar @YapamarMMM]

1/8
Geo-holdouts and incrementality tests are powerful.
Most teams still run them in ways that quietly destroy their usefulness.
Here are the most common mistakes.

[Yapamar @YapamarMMM]

7/8
The best teams design tests with clear hypotheses, enough power, sufficient duration, and multiple relevant metrics.
They also accept that a clean “no effect” result is valuable information — not a failed test.

[Yapamar @YapamarMMM]

Most teams are excellent at improving efficiency metrics.
Very few are good at growing the total size of the pie.
You can raise ROAS every quarter and still lose market share or miss the biggest opportunities.
Efficiency without growth is just managing decline more cleanly.
When you look at results, do you optimize for better ratios — or for bigger absolute outcomes?

[Yapamar @YapamarMMM]

8/8
Which of these mistakes have you seen most often when teams try to measure marketing more holistically?

[Yapamar @YapamarMMM]

1/8
Most Marketing Mix Modeling projects don’t fail because of bad statistics.
They fail because of bad expectations, weak inputs, and the wrong questions.
Here are the most common mistakes teams make.

[Yapamar @YapamarMMM]

7/8
The teams that get real value from MMM treat it as a continuous process, not a one-time project.
They combine it with experiments, keep the business context strong, and care more about better decisions than about perfect coefficients.