In-flight analytics & measurement
Make every media dollar work harder.
Understand what earns its cost.
See where to move spend.
Improve while campaigns are live.
Your outcomes. Your controls. Built into your existing workflows.
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.
- Know what earns its cost.
- Predict before acting.
- Refine with every outcome.
01 / Find the value
More value can hide inside
a successful campaign.
Meeting your target can still leave room for better returns. We analyze campaign data to identify where media, data and optimization fees earn their cost, and where spending could work harder.
Context changes
what contributes.
An audience, creative or placement can perform differently depending on how it is used. Precise evaluates attributes individually and together, comparing their estimated contribution to your outcome with their cost.
We call this contribution value.
One creative. Added context.Illustrative
Estimated contribution ÷ cost
3.50×
The Trade Desk · Home improvement shoppers · Connected TV · Smart TV · Evenings · 15-second cutdown · First-frame before/after · Top 10 DMAs · 3–5 exposures
| DrilldownSelected valueValue ÷ cost |
|---|
Select a layer to explore the example. Each layer includes prior selections. Values can rise or fall as the combination changes. Programmatic and CTV lines are priced by supply path; social and search lines at the ad-set grain the platform reports.
02 / Make the next decision
Clear recommendations.
Expected impact.
See where to move spend, why the move is worth considering, and the outcome we predict. Your team decides what to put into action.
Same campaign. Same $1M budget.
Recommended re-allocation
Projected return on the same $1,000,000
- Current plan
- 2.07×
- Recommended plan
- 2.68×
+29.5% higher projected return on the same budget.
Precise recommends how to divide the same budget across four combinations of creative, audience, and platform to improve the campaign outcome.
Here, it shifts spending toward two combinations on The Trade Desk: customer story with home improvement shoppers, and product demo with kitchen and cooking enthusiasts.
It accounts for how much each combination can absorb efficiently, directing the next dollar where it is expected to contribute most.
| Placement | Current | Recommended | Shift |
|---|---|---|---|
| Customer story×Home improvement shoppers·The Trade Desk | $300,000.00 | $420,192.23 | +$120,192.23 |
| Customer story×Kitchen and cooking enthusiasts·DV360 | $160,000.00 | $74,126.64 | −$85,873.36 |
| Product demo×Kitchen and cooking enthusiasts·The Trade Desk | $120,000.00 | $471,188.56 | +$351,188.56 |
| Product demo×Home improvement shoppers·MadHive | $420,000.00 | $34,492.57 | −$385,507.43 |
| Total | $1,000,000.00 | $1,000,000.00 | $0.00 |
Move left to shift less budget. Placement budgets and projected return update together.
Illustrative model estimates, not demonstrated lift. ROAS includes media spend and fees.
03 / Keep improving
Compounding precision.
Turn each outcome into a smarter recommendation. Spend moves toward what drives performance while campaigns are in flight.
- 01
Run
The campaign, in flight.
- 02
Surface
Intelligence and insights.
- 03
Recommend
Shift and reinvest.
- 04
Predict
The outcome.
- 05
Prove
Actual vs predicted.
- 06
Recalibrate
Every cycle, more precise.
04 / Build your evidence
Together, we build a growing
record of your impact.
Your team builds an in-house record of recommendations, decisions and measured outcomes. Each decision adds to a collective view of performance.
01
Why money moved
The recommendation, supporting evidence and expected outcome, recorded before action.
- Recommendation
- Reallocate spend
- Expected outcome
- Recorded with a range
02
What changed
The allocation decision, when it happened and how much moved, within your agreed limits.
- Decision
- Reviewed by your team
- Allocation change
- Recorded when implemented
03
What it returned
The measured outcome against the prediction and agreed benchmark, informing the next decision.
- Measurement
- Prediction vs. outcome
- Next recommendation
- Refined with the evidence
Your evidence base, growing with every decision and outcome.
05 / Built around you
Your outcomes.
Your workflow. Your controls.
We partner with you to put in-flight analytics and measurement where decisions already happen.
01
For your team
Clear recommendations, expected outcomes and supporting evidence to guide each spending decision.
02
For your AI agents
Contribution values and recommendations designed for agents to call on before spending.
03
Under your control
You define the objective, eligible inventory, budget movement limits and approval requirements.
Agree the rules upfront. Define success, establish the comparison and set when to review, pause or reverse a move. On the standard path, Precise recommends and your team implements.
The team
Built by people
who know media.
Our founders helped build and scale Madhive and created the AdLedger transparency consortium.
Precise brings that operating experience to a focused task: understanding what contributes to campaign outcomes and using that evidence to improve spending decisions.
- Spencer PottsCo-founder & Chief Executive OfficerFormer CEO of Madhive
- Adam HelfgottCo-founder & Chief Technology OfficerCo-founder of Madhive · Founder of Valence Labs
- Matt BarlinChief Science Officer
- Dave AntonelliChief Revenue Officer
Backed by
Blockchange Ventures · Lasagna · Click Ventures · 3C Ventures
Getting started
Your data. A clear objective.
A measurable next step.
01
Establish the baseline
Begin with 30 days of historical portfolio data. Agree on the outcome, relevant costs and benchmark.
02
Put it into practice
Over the first 60 days, predict outcomes, implement selected recommendations and measure what happens.
03
Build on the evidence
Refine the models and the next recommendation. Extend the approach as value is established.
A few practical questions.
How will we know whether performance is improving?
We agree on the business outcome, included costs, comparison and evaluation window upfront. Measured outcomes are compared with recorded predictions and the agreed benchmark. Controlled tests assess causality where feasible; a prediction alone is not proof of improvement.
How does Precise fit our existing setup?
We work with your campaign data and existing workflows, bringing recommendations to your team or AI agents. The data available and its level of detail determine what we can evaluate. Integration and deployment are agreed with your team. Read about security and data.
Who decides whether to move spend?
Your team defines the objectives, operating limits and approvals. On the standard path, Precise recommends and your team makes the change in the platform. The implemented change is recorded so it can be measured.
What becomes part of our record?
The recommendation, its supporting evidence and expected outcome, the decision taken, the implemented change and the measured outcome. This builds an in-house evidence base your team can use to inform future decisions.
Let’s talk
Make your next
media decision
more precise.
Tell us the outcome you want to improve. Let’s find where your budget can do more.