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.
Same budget, more return.
Illustrative example
Objective: product sales, measured as revenue per $1 of media spend and fees.
Precise recommends. You set the controls.
Projected return on the same $1,000,000
- Current plan
- 2.07×
- Proposed 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.
Synthetic example. Return is revenue per $1 of media spend and fees. Figures are projections, 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.
One attribute, 10 layers of insight.
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 measuredContribution value of the customer story
3.50×
Estimated outcome value per $1 of media spend and fees.
Selected context: The Trade Desk · Home improvement shoppers · Connected TV · Smart TV · Evenings · 15-second cutdown · First-frame before/after · Top 10 DMAs · 3–5 exposures
The creative’s contribution changes with where, how, and to whom it runs:
- 1.20× on average across all its placements.
- 2.30× with home improvement shoppers on The Trade Desk, above the campaign average of 2.07×.
- 3.50× projected outcome value per dollar when all ten attributes work together in the selected context.
Each level narrows the opportunity. The highest-return segment can absorb only so much spending efficiently. Precise uses this detail to recommend how much budget each placement receives.
Every row measures the same outcome and includes media spend and fees, making values comparable across platforms and channels.
| DrilldownSelected valueValue ÷ cost |
|---|
Measure.
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.
Applied science.
Better decisions.
Value every attribute.
Improve the allocation.
Measure the outcome.
Precise is an applied research lab in New York. We build intelligence for better economic decisions.
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 Potts
- Co-founder & Chief Executive Officer
- Adam Helfgott
- Co-founder & Chief Technology Officer
- Matt Barlin
- Chief Science Officer
- Dave Antonelli
- Chief 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 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