UE by Uri EinavBright Storm DSP founder · mobile UA

Do you actually know where your installs come from?

Since IDFA, most dashboards guess more than they measure - so you scale a channel that isn't working and starve one that is. See exactly where your tracking stopped telling the truth.

▸ Run the diagnostic

Your current ad platforms and tracking tools

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Your current ad platforms and tracking tools *

List what you run and measure with, e.g. Meta, Google/GA4, TikTok, AppsFlyer.

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Main UA channel - sharpens the diagnosis Optional

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A Runnable by Uri Einav,
founder, Bright Storm DSP

Attribution Diagnostic · yourapp.comRunnable.ai

62/100

Partial visibility

You can see roughly 6 in 10 installs clearly. The rest is guesswork dressed up as a dashboard.

Meta attribution85/100

Google attribution60/100

First-party data25/100

Do this first

Fix your GA4 + SKAdNetwork gap on Google before you scale spend past current levels - that's where you're flying blind.

A Runnable by Uri EinavRunnable.ai

The workflow

What it actually does.

Enter your domain and it reads your tracking setup channel by channel, then scores what's real signal versus modeled guesswork.

PROGRESS0 / 4

Parse tracking stack

Reads your description and identifies which ad platforms and attribution tools you're using.

Score attribution reliability

Scores each of your channels for how reliable its post-IDFA attribution really is, plus what score is achievable with fixes.

Identify blind spot and roadmap

Pinpoints your single biggest attribution blind spot and builds a ranked fix roadmap.

Build attribution report

Assembles your Attribution Confidence Score, channel breakdown, and action plan into a report.

▸ Featured essayThe idea behind this Runnable · 2 min read

I ran a DSP through the IDFA cutoff. Most founders are still in denial about what broke.

“Your dashboard didn't get worse at reporting. It got worse at telling the truth - and it won't tell you which.”

I built Bright Storm as a programmatic DSP, which meant my job was literally to know where an install came from and prove it to a media buyer who was paying for that install. When Apple shipped App Tracking Transparency, that job got a lot harder - not because the ad networks got worse, but because the ground truth we all relied on disappeared overnight.

Here's what almost nobody tells founders: your attribution didn't fail cleanly. It failed unevenly. Meta kept a decent chunk of signal through modeled conversions. Google's SKAdNetwork gap is worse than most dashboards admit. First-party events - the one source you actually control - usually aren't wired up at all. So your numbers still look confident. They're just confidently wrong in different places for different channels.

That's the trap: a founder sees a channel "underperforming" post-IDFA and kills it, when really the channel is fine and the measurement collapsed. I watched this happen from inside a DSP, then again managing UA at a gaming studio through the same transition.

Run complete

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The evidence Show details

Built by the founder of Bright Storm, a programmatic DSP where knowing the real source of an install wasn't a nice-to-have - it was the entire business.

The diagnostic

What it checks, and why each one matters to you.

Meta reliability

Checks whether you're on standard or aggregated event measurement, and how much of your Meta attribution is real conversion signal versus modeled.

Google reliability

Flags the SKAdNetwork and GA4 gaps most founders don't know exist - the reason Google numbers often look worse than the channel actually performs.

First-party coverage

Checks whether you're capturing in-app events yourself, the one source no privacy change can take away from you.

What to fix first

Ranks the gaps by how much they're distorting your spend decisions right now - not a generic checklist, a priority order for your setup.

You already suspect which channel is lying to you. Confirm it in 60 seconds.

Free · 60 sec · No signup ·

▸ Questions

What people ask before they run this.

How accurate is this, really?

It's a fast read on your setup based on what's publicly detectable and the known reliability gaps in Meta, Google, and first-party tracking post-IDFA - a solid starting diagnosis, not a full audit of your ad accounts.

What is this based on?

The same measurement logic Uri used running a programmatic DSP and managing UA through the IDFA transition - where signal drops off for each channel and what actually holds up.

Who is this for, and who isn't it for?

Mobile app founders and growth leads spending real money on UA who can't fully explain their attribution numbers. If you're pre-launch with no UA spend yet, there's nothing to diagnose - come back once you're scaling.

Is it free? What do I have to give up?

Free, no signup, about 60 seconds. Just your domain.

What if my score comes back bad?

That's the point of running it now instead of finding out after you've scaled spend on a broken channel. The report gives you what to fix first - from there it's your call whether to fix it yourself or work with Uri directly.

Is this the same as working with Uri directly?

No - this is a free sample of how he thinks about attribution. It won't touch your ad accounts or rebuild your tracking stack. It'll show you where the gaps are so a deeper conversation is worth having.

▸ About the creator

Uri Einav

Founder, Bright Storm DSP · mobile UA mentor

Uri founded Bright Storm, a programmatic DSP built on measuring exactly where installs came from, and has run user acquisition for mobile and gaming apps through 12+ years and multiple soft-to-global launches. He mentors founders and growth leads on GrowthMentor, rated 4.98/5 across 77 reviews.

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