Funnel optimization is downstream of attribution.

If you can’t trace a conversion back to the specific ad → landing page → email → checkout step that produced it, every funnel test you run is partially blind.
You’re testing one hook against another, one page against another, one offer against another — without knowing whether the underlying tracking captured the answer correctly.

That’s a different question than the one most attribution tools optimize for.
They’ll show you ROAS by channel. They’ll show you CPA. They’ll draw you a customer journey. What they often won’t show you is which step in your funnel actually produced the conversion — and where the journey lost the thread.

For eight years I’ve run paid acquisition at Inceptly across every major attribution tool — Triple Whale, Northbeam, Hyros, Polar, Rockerbox.
Our job has been to make whatever was already installed do its work, and to figure out which numbers we could actually trust.

The questions below are what we hand operators when they ask which tool to buy, or whether to switch. Not feature comparisons. Not vendor pitch decks. They apply whether you’re running Shopify, ClickFunnels, lead funnels, info-product carts, or custom checkouts.

Eight questions you can run on whatever tool is in your stack right now.

Most attribution tools’ revenue figures don’t match the source of truth. Pull 10 orders from yesterday and compare line by line — the vendor’s reported revenue against your Shopify admin, their reported spend against the native ad platform. Day-one discrepancies become every-day discrepancies. If their numbers don’t tie out at $50K/month in spend, they will absolutely fall apart at $200K.

The vendor that can’t reconcile is selling you a story, not a measurement.

These should be written-down definitions. When a subscription renews — one customer with two orders, or two customers? When someone refunds — does the order vanish or stay flagged? When the same person buys from two stores — two customers or one? When a payment plan executes its third installment — is that a new order?

Different tools answer differently. You discover the mismatch three months in, when your CFO’s spreadsheet stops matching your dashboard and neither of you can figure out which number is right.

This is the demo killer.

The decent tools handle the first part — Triple Whale and Hyros will pull up the order and show you the touchpoint list. That’s table stakes now. The real test is the next question: how did you decide which touchpoint gets credit, and how did you stitch a phone session to a desktop checkout?

That’s where the math has to be reproducible, not just visible. If the answer drifts into “our proprietary attribution algorithm” or “advanced multi-touch modeling,” the credit logic is a black box — you can see the clicks but you can’t reproduce the output.

Pick a cross-device order. Watch how they handle the stitching and the credit math, not just the click list. That single demo tells you more than any feature comparison sheet.

One of the most under-discussed attribution problems. Does the order disappear from reports? Stay flagged but still counted? Does it adjust your CPA and ROAS retroactively, or only going forward? What happens at the campaign level versus the blended-metrics level?

You’ll process thousands of refunds. The vendor’s policy directly affects your reported margins. The honest vendors will tell you the specific trade-off they made — usually something like “campaign ROAS uses gross, blended metrics use net.” The opaque ones will hand-wave and say “we handle it.” When you hear that, push for specifics. The mechanism either exists and they can describe it, or it doesn’t.

For most tools, the bucket sits in the 15-30% range. Sometimes more. That’s up to a third of your revenue you can’t explain — and you’re paying $500-$1,500/month for the dashboard that hides it.

The vendor that knows their customers will be able to quote a range. The vendor that doesn’t will hand-wave or say “it varies.” Same with the methodology: ask for the specific technical mechanism — server-side pixel, first-party tracking, post-purchase signal recovery. “Industry-standard tracking” is not an answer. If they can’t quote a typical number and a real method, the bucket will be whatever it ends up being.

Most attribution tools ship a fixed template at signup, and your business bends to fit it. Ask the vendor to walk you through a specific change a customer made last quarter — a new object, a new property, a new revenue stream — and how long it took to implement.

If “we’ll add it to the roadmap” is the answer, the template is frozen. Your business will keep evolving. The tool won’t.

Most vendors quote a starting price and stay vague on the rest.

The full picture: when my revenue doubles, what happens to your bill? Annual contract or month-to-month? Are existing customers grandfathered when you raise prices, or do they pay the new rate? When was your last price increase?

A vendor who’s raised prices three times in three years without grandfathering is telling you what your bill will look like in two years — regardless of what they’re charging now. Most VC-backed vendors raise prices to hit board-mandated revenue targets, not because their cost to serve you went up. Your renewal is somebody else’s quarterly slide.

Can you export the raw dataset to your own warehouse — BigQuery, Snowflake, S3? In what format? Today, or on the next tier, or via a support ticket?

Walled data is the most reliable indicator of a business model that depends on you not leaving. If the vendor can’t or won’t let you take everything when you go, the platform is the product, and your data is the leash.

Every funnel test is a hypothesis: this hook beats that one, this page converts better, this email sequence drives more revenue. If your attribution can’t reliably tell you which step in the funnel produced which conversion, you’re testing in the dark.

Bad attribution doesn’t just cost you money — it costs you the ability to learn from your funnel. You can’t tell whether a step is broken or just being mis-tracked. You can’t tell whether a new VSL is converting or your tracking is leaking. You can’t tell whether email follow-up is doing the work or your ads are getting all the credit.

Every question on this list is a way to force opacity into the light.

It’s the attribution tool I built after eight years of running other people’s stacks at Inceptly. The one I wished I’d had all along.

Here’s how Bratrax Lite answers every question on the list above:

One honest caveat: Bratrax Lite is Shopify-first right now. If your stack is Shopify + Meta + Google + Klaviyo, you’re in our wheelhouse. If you’re running info-product funnels, custom checkouts, lead-gen flows, ClickFunnels stacks, or affiliate offers, we’re not your tool yet — we’ll get there. But the questions above apply to whatever you’re using, and they’re worth running on your current vendor either way.

We’re engineers trying to build a product, not run a sales operation. The tool reflects how we work — solve a real problem, document the trade-offs, name the limits. The list above isn’t a pitch; it’s the same criteria we’d run on any vendor, including us.

Run the questions on whatever you’re paying for now. Run them on us. If we don’t measure up on every line, you’ll know. That’s the point of the list.

We’re inviting founding members in batches. The first 100 lock in $79/month for life. After the founding cohort fills, pricing moves to $99/month for everyone after — and the founding rate is gone for good.

If you want the full feature breakdown first: bratrax.com. If you want a founding spot directly: bratrax.com/signup.

— Brat Vukovich, cofounder of Inceptly and VidTao, building Bratrax Lite