See the true performance of each channel through the right lens.
Google, Meta, TikTok and Klaviyo each claim the same sale. Reaktion tracks every individual order once, then attributes it with advanced statistical models, so you can compare statistically-modeled versions and see how credit, ROAS and POAS move before you reallocate budget.
Switch the model.
Watch the credit move.
Same orders, same fixed ad spend. Only the way credit is shared changes. Pick a model and watch sales, ROAS and POAS shift across channels in real time.
The ROAS in each platform doesn’t add up.
Add up the conversions each ad platform reports and you have sold the product two or three times over. Each one counts the click it saw and ignores the rest of the journey. Reaktion measures each order once, server-side, so the numbers reconcile to your real revenue.
Six touches. Twelve days. One order.
Mette met the brand on Meta, came back through TikTok and search, then bought after a reminder email. Reaktion stitches her full path to purchase, server-side, so every touch gets seen.
Pick the model that fits the question.
No single model is the truth. Each answers a different question. Reaktion gives you all four on the same orders, so you can sanity-check a decision from more than one angle.
Our blended default. It combines full-journey signals with a statistical media-mix read, then leans on whichever has the stronger evidence per channel. A balanced starting point when you just need a trustworthy number.
Credits every step in the path using a data-driven, removal-effect read of real journeys. Direct and branded demand absorb more credit as journeys lengthen. Needs enough conversion volume to stay stable.
A statistical media-mix view that estimates each channel's contribution from spend and outcome patterns. Strong for setting budgets at the channel level, less suited to crediting an individual order.
Splits credit evenly across every touch in the journey. Simple and transparent, but it treats a first impression and the closing click as exactly equal, which over-credits high-frequency touchpoints.
Data-driven models need enough conversion volume and clean, consistent channel labels to stay stable, and late-arriving orders update the picture over time. Attribution guides decisions, it does not replace incrementality testing.
Numbers people finally trust.
“Reaktion gave the whole team one set of numbers we actually trust. Reporting that used to eat half a morning takes minutes now, and everyone is finally looking at the same picture.”
“Onboarding was genuinely quick and the data has been reliable since day one. It is the first reporting tool our clients open without us walking them through it.”
“We finally see profit, not just revenue, across the whole business in one place. It has changed the conversations we have every week.”
Stop reallocating budget on
numbers you can’t reconcile.
Connect your store and ad accounts, and see every channel through every model on one consistent, profit-aware source of truth.
