Make more
of every
media dollar.
Improve returns while your campaigns are in flight.
Precise evaluates what each campaign attribute contributes relative to its cost, individually and together. It recommends how to shift spend from fees and attributes that add too little value into working media with stronger expected returns.
One campaign.
Where spend can do more.
Illustrative example
Objective: qualified visits per dollar.
Precise recommends. You set the controls.
| Attribute or combination | Estimated value versus cost | Precise recommends |
|---|---|---|
| DSP B×In-market segment×Publisher set 1 | More qualified visits per dollar Estimated versus the same segment and publishers on DSP A. | Increase Move spend from DSP A to pursue more qualified visits with the same budget. |
| DSP A×In-market segment×Publisher set 1 | Fewer qualified visits per dollar Estimated versus the same setup on DSP B. | Reduce Redirect this spend to DSP B as part of the same budget move. |
| In-market segment×Creative A | Worth keeping together Estimated visits per dollar fall if either attribute is removed. | Keep together Preserve the audience–creative pairing to protect its contribution. |
| Campaign data layer | Fee exceeds the value added The data layer’s contribution is estimated to be worth less than its fee. | Remove and reinvest Remove the layer and redirect its fee toward media expected to generate more qualified visits. |
| Returning visitors×Creative B | Return still uncertain Creative B versus the current creative for returning visitors. | Test before scaling Randomly compare the creatives among comparable returning visitors. Increase spend if measured results support it. |
Expected benefit: more qualified visits from the same total budget. This illustrative example shows proposed changes, before implementation and measurement.
Know what
earns its cost.
Every attribute can contribute value, individually and in context. Useful data earns its fee by improving performance enough to justify its cost.
Precise looks beneath each impression to evaluate audience segments, publishers, supply paths, creative, data, and other campaign attributes. It assesses each contribution on its own and how it changes within the campaign.
Keep what earns its cost. Where a fee or attribute adds too little value, Precise recommends redirecting that spend into working media with stronger expected returns.
See how improvements are measuredMeasure.
Learn.
Improve.
See the reasoning. Track the changes. Measure the results.
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.
Track what was implemented.
Record which changes were made, when they happened, and how spend moved. Review the action taken alongside the original recommendation.
Measure the return.
Compare expected and observed results over the agreed outcome window. Precise uses that evidence to refine the next recommendation while campaigns remain in flight.
One reviewable record, from recommendation to result.
Better returns.
Built into your workflow.
Access Precise through an API or deploy it within your stack. Recommendations reach the tools your team uses, so you can act sooner and keep improving performance while campaigns run.
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.
Explore the economics of the portfolio
Compare contribution with spend across providers, inspect the attributes within each buy, and see where shared reach can affect the next allocation.
Science for
better returns.
Value every attribute.
Improve the allocation.
Measure the outcome.
Precise is a data science lab in New York. We develop intelligence for practical applications. This application helps brands and agencies make better economic decisions while campaigns are live.
Our team brings experience from Madhive, AdLedger, BlockScience, and Mediavine: building media infrastructure, studying complex systems, and turning research into working products.
- Spencer Potts
- Chief Executive Officer
- Adam Helfgott
- Co-founder & Chief Architect
- Matt Barlin
- Chief Science Officer
- Jordan Cauley
- Chief Technology 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 so recommendations can move into action.
- Connect
- Bring campaign data, costs, and outcomes from your existing systems. Choose the access and deployment model that fits your operation.
- Make it yours
- Set the objective, budget, permissions, and approval rules. Agree the integration, rollout, and software fee.
- Keep improving
- Put recommendations to work. Track implemented changes and measured results, then extend across campaigns and accounts as value is established.
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?
Use the API or deploy Precise within your stack. Recommendations are delivered into your existing platforms, tools, and agent workflows. Precise works in the background, and your team can review 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.
Talk through your campaign hello@precise.ai