See which partners are earning their money while the campaign is still running, in time to act.
Your campaign logs already capture every partner, audience, creative, geography, hour, fee, and supply path. Precise connects those details to the outcome you care about and shows what each one contributed against what it cost. That bottom-up view reveals where to shift spend next, with the balance of upside, cost, and confidence attached, while the money is still moving.
See the whole campaign together.
Every platform reports its own performance, which gives each partner a useful view of its part. Precise brings the available logs together and measures the campaign as one connected system. That shared view shows what the pieces can only reveal together: added audience costs, layered fees, overlapping inventory, and pockets of spend whose real contribution only shows when everything is seen at once.
Here is what the first read finds.
Some layers across everything you ran come into view once every partner's logs sit joined in one place; the joined view is what makes them priceable. Below are four such layers from the first month's read, one finding each; open a finding for the numbers. The layers are the ones we check first on every campaign.
Illustrative · numbers invented to show the shape
1Segments that appeared on their own were billing on every impression.open
The plan named six audience segments. The delivery logs showed fourteen. One platform had auto-appended lookalike and expansion segments, each carrying its own data fee on every impression. Priced by contribution, the eight appended segments were taking 11% of campaign cost and producing about 2% of the outcomes.
The team turned them off, with the predicted effect written down first: outcome change inside the noise band. The grade came back in six days. Seven segments came off cleanly, as predicted. The eighth had been quietly feeding conversions, so the read caught it and said so, that segment went back on, and every read since prices appended segments on their own evidence, in either direction.
2Vendor fees were stacking per impression until the working share shrank.open
Verification, brand safety, pre-bid filtering, and a data pass were each billing per impression on the same supply paths. On the heaviest path, five vendors took $1.90 of an $11 CPM before any media ran. Wherever the fee stack passed 15% of the CPM, additional spend was buying outcomes at roughly 30% above the account average.
The team consolidated to two vendors on those paths, predicting outcomes would hold steady. Ten days later the grade confirmed it: outcomes flat, inside the band, and the fee savings moved to the cheapest outcomes on the board. Right this time. The point is the team knew inside the flight, with time to act.
3The same inventory was arriving twice under different names.open
About 9% of impressions were the same publisher avails reaching the campaign through two exchanges under different path names, at two different prices, with the campaign sometimes bidding against itself for them. Platform reporting showed two acceptable paths. The joined logs showed one path plus a markup.
The team cut the pricier path, predicting reach would hold. It held, and cost per outcome on that inventory came down about 12%. Booked into memory: the duplicate-path check now runs on every read, because paths get renamed more often than they get cheaper.
4Two overnight corners were quietly absorbing spend.open
Overnight hours in two geos were absorbing 7% of spend at a marginal cost near three times the account average: the corner of the plan that gets the least daily attention. The read priced it on day one.
The team capped overnight delivery, predicting the savings would redeploy cleanly. The grade completed the picture: part of that overnight audience was feeding a retargeting pool that converted the next afternoon, so the overnight spend was earning more than it looked. Half the cap came back off within the week, and the read now prices that handoff. The promise is knowing by Thursday, and every grade makes the next read sharper.
A fifth layer answered with patience: the newest partner on the plan was still building toward the support floor, so the read printed "still gathering data" and kept watching. The number arrives when the evidence does.
Four findings, four moves, each predicted before acting and graded after. Two grades confirmed the call, one sharpened it, one taught the most. That mix is the loop working.
Make one clear decision at a time.
Precise answers the questions that shape a campaign every day: which partner is earning its price, which audience is still creating value, which creative deserves more budget, which supply path is producing the strongest return, where to move next. Each answer carries the evidence behind it, so a business leader can understand the decision and a trader can inspect every detail.
Turn every move into learning.
Before action, Precise records the call: the recommendation, the expected result, and the confidence behind it. When the outcome arrives, the call is scored and the lesson booked into the record. The learning moves at the same speed as the decision, and each lesson carries forward across everything you run.
Ask why and see the evidence.
Your team can question any recommendation in plain language. Ask why a partner moved up, what changed since Tuesday, or what is expected to happen if the budget moves. Precise answers from the record and shows the runs, results, and grades behind the recommendation. Analysts get the evidence, traders get the move, and leadership gets a decision it can understand.
It claims only what it can prove.
This is an observational read of live spend, and it says so. Your lift tests and holdouts keep answering whether a channel works at all; this answers which parts of the spend you are already running are earning their price right now. The two compose. Where they differ, the difference is surfaced to you, argued in writing, and settled by the next measurable window.
Start with a month you know cold.
A pilot begins with one month of your logs, everything you ran, and the outcome your team already trusts. Precise returns contribution against cost, the moves it would have recommended, the expected results, and the confidence around them. Your team checks the work against its own experience before anything touches live spend. The first month is the handshake; the record it starts compounds across the whole portfolio.