Make more of every media dollar.
Rank the next dollar on your outcomes. Price the move. Refuse it when it won’t clear cost.
The purple line shows the predicted return if you act on our recommendation. The shaded area shows the range around that prediction.
The black line shows actual results. The gray holdout line shows results for the group that kept the original settings. The dashed gray line projects the return if you keep the current plan.
Connects to your data and your stack; lands in your dashboard, or an agent of your own. The cycle follows your data: delivery and price bands the same day, outcomes as they settle, daily or weekly.
Our recommendation: predicted and measured returns
| morning | actual | predicted | low | high | left alone | holdout |
|---|
Illustrative campaign. Return means revenue per $1 of media spend and fees. Predictions are estimates.
One campaign.
Same budget, more return.
Each cycle, see where the next dollar should go and the return that change could deliver, priced against its cost. Sometimes the answer is to leave it alone. Your operator decides what to put into action.
This cycle’s recommendations
Selected recommendation
Expected revenue per $1 spent
Illustrative estimates for the selected change, at the same spend. Programmatic and CTV lines are priced by supply path; social and search lines at the ad-set grain the platform reports.
Know what
earns its cost.
Precise evaluates campaign attributes individually and together to find what earns its cost and where spend could work harder, at the pace your outcome data settles.
- Audience segments
- Data layers
- Creative
- Publishers
- Supply paths
- DSPs
- Frequency
- And their combinations
See how your spending aligns with your revenue.
Spot the gaps each cycle.
Here, Stream TV receives 24% of spend but accounts for 12% of revenue. Daily Living receives 21% of spend and accounts for 33% of revenue.
These gaps flag allocations worth examining. Precise looks at the underlying attributes and recommends where to move the next dollar before the next cycle.
Platforms report cost and delivery. The ranking and the scoring run on your outcome stream.
Campaign so far: share of spend vs. share of revenue
Illustrative results to date. Revenue totals may change as more sales are recorded.
Measure.
Learn.
Improve.
Predict. Act. Check the result. The cycle follows your data: delivery and price bands the same day, outcomes as they settle.
- 1
Understand the recommendation.
See the finding, the recommended action, and the expected improvement against your objective. Each recommendation explains where the budget would move and why.
- 2
Track what was implemented.
Record which changes were made, when they happened, and how spend moved. Review the action taken alongside the original recommendation.
- 3
Measure the return.
Compare expected and observed results over the agreed outcome window. Precise uses that evidence to refine the next cycle’s recommendation.
One reviewable record, from recommendation to result.
Better returns.
Built into your workflow.
Precise connects to your data and your stack, and lands where your team already decides: a dashboard, or an agent of your own. On the standard path Precise recommends and your operator makes the change in the platform. Same methods, same record, same controls either way.
Your data
Connects wherever your logs live.
Delivery, cost and outcome logs stay where they are: warehouse, clean room, platform exports. Precise reads at whatever grain the source has, and says what one more connection would add.
Dashboard
Open it and act.
What changed since you last looked, the moves worth making, what each stands on, and one motion to log which you took. Hosted by Precise. Your operator makes the change in the platform; Precise does not write to platforms on the standard path.
Your agent
An agent, if you want one.
Precise answers inside the agent you already run, or provisions your advocate agent. It recommends by default. Letting it make a change is a separate rung you clear per kind of change, and every change it makes goes on record. It answers to your rules, not ours.
Your workflow
Built in with you.
We work with your team to put measurement where decisions already happen: where a recommendation lands, who confirms it, how the result is read back.
Reach and overlap analysis in live campaigns.
Agency teams have used Precise to analyze reach and audience overlap across DSPs and media partners, informing reallocations within live campaigns.
Client and partner identities remain confidential. This describes live use; the product example above uses illustrative estimates.
Your objectives. Your controls.
Your team sets the business objective, budget, permissions, and approval rules. Precise works within those controls. Agencies retain their client relationships.
Review when you need to.
Precise works in the background through your existing data, platforms, and agents. Review recommendations, changes, and results in the same workflow, so the next decision can build on what happened.
Applied science.
Better decisions.
Value every attribute.
Improve the allocation.
Measure the outcome.
Precise is an applied research lab in New York. We bring evaluations discipline to media, on the buyer’s side.
Our media application helps brands and agencies understand what earns its cost, improve allocations, and learn from measured results.
Our team brings experience from Madhive, AdLedger, BlockScience, and Cognitiv: building media infrastructure, studying complex systems, and turning research into working products.
- Spencer PottsCo-founder & Chief Executive Officer
- Adam HelfgottCo-founder & Chief Technology Officer
- Matt BarlinChief Science Officer
- Dave AntonelliChief Revenue Officer
Put more of your
budget to work.
Start with one active campaign and the outcome you want to improve. Bring the people responsible for media performance and data.
Connect and record
Bring delivery, cost and outcome logs from your existing systems. From the first cycle, every recommendation is logged with what it expected, before anyone acts.
Run a live trial
For a few cycles, your operator takes the recommendations that clear cost. Each one is scored at the agreed horizon against a holdout that kept the old setting.
Own the track record
What was recommended, what was taken, and what was measured is yours to keep. Extend across campaigns and accounts as it earns its place.
A few practical questions.
How will we know whether returns are improving?
Agree the business outcome, relevant costs, comparison, and measurement window up front. Review what Precise recommended, what was implemented, and the measured result against the expectation. Those results inform the next recommendation.
How does Precise fit our existing setup?
It connects to your data where it already lives and lands where your team already decides: a dashboard hosted by Precise, or an agent of your own. That can be your advocate agent, provisioned by Precise, or the one you already run. On the standard path it recommends and your operator makes the change. Letting an agent act is a separate rung you clear per kind of change, and every change it makes goes on record. Teams that want it deeper have us build it into their workflows with them. Your team reviews the reasoning, changes and results whenever needed.
What does our team control?
Your team sets objectives, budgets, permissions, and approval rules. You choose the data, access, and deployment environment. Data handling, retention, and deletion follow your agreements with Precise. Read about security and data.
Start improving
your media returns.
Let’s find where your budget can do more, and agree how to measure the difference.