Make your next budget move obvious.
Paid Lens connects your advertising, CRM, analytics, and revenue data, validates the signals, and ranks the actions most worth taking by impact, urgency, and confidence.
Read-only. Controlled. Built for human review.
- Every recommendation
- states the action to take
- Every claim
- links to the evidence behind it
- Every score
- shows why confidence is high or low
- 7
- Recommendations
- $482K
- Managed spend
- 86%
- Avg confidence
- Why this recommendation
Campaign B is showing weaker available performance signals while Campaign D is showing stronger downstream pipeline efficiency and available budget headroom.
Evidence- Pipeline efficiency
- Spend trend
- Attribution coverage
- Data freshness
Your growth data, connected.
Read-only connections across the platforms where spend, pipeline, and revenue live.
- Google Ads
- Meta
- Microsoft Ads
- Salesforce
- HubSpot
- Google Analytics
How decision intelligence works
A verification loop that turns messy performance data into decisions you can defend.
- 01Connect
Bring advertising, CRM, analytics, and revenue signals together through read-only connections.
- 02Validate
Check data completeness, freshness, attribution coverage, integration health, and evidence sufficiency.
- 03Rank
Prioritize potential actions by impact, urgency, and evidence-based confidence.
- 04Decide
Review the recommendation, inspect the evidence, and decide what action to take.
The next best move, ranked.
Not every insight deserves your attention. Paid Lens ranks the actions most worth taking by impact, urgency, and confidence.
Every recommendation has a clear action, supporting evidence, and rationale.
- ImpactHow materially could this affect the business?
- UrgencyHow important is it to address this now?
- ConfidenceHow strong is the evidence?
- Reallocate budget
- Recommended action
- +18%
- Expected impact
- 92%
- Confidence
Campaign D is showing stronger available evidence of pipeline efficiency and has budget headroom.
Illustrative example. Figures shown are not customer data.
Less dashboard watching. More decision making.
Your week should not disappear into assembling the answer.
- Multiple advertising platforms
- CRM
- Analytics
- Spreadsheets
- CSV exports
- Manual analysis
- Conflicting signals
- Too many metrics
A single ranked decision queue.
- Recommendation
- Reallocate $4,200 / mo, Campaign B → D
- Impact
- Expected +18% pipeline
- Urgency
- High
- Confidence
- 92%
- Evidence
- Pipeline efficiency, spend trend, coverage, freshness
From scattered signals to a decision you can act on.
Every recommendation has to earn its place.
“What makes you believe that?” is not a blocker. It is the quality bar.
A recommendation is only as good as the story behind it. Weak, incomplete, stale, inconsistent, or poorly attributed data should not produce a high conviction action.
It would rather be uncertain than confidently wrong.
The recommendation stands, but it says how strong the evidence is.
Weak evidence does not become a high conviction action.
Worth attention, not yet worth a budget move.
Name the missing signal instead of guessing around it.
Confidence is earned, not generated.
Paid Lens confidence reflects the quality of the evidence supporting a recommendation, not how confidently a model can phrase an answer.
- Data completeness
- Evidence sufficiency
- Data freshness
- Attribution coverage
- Integration health
- Data consistency
- Data completeness and evidence sufficiency
- 94%
- Data freshness
- 96%
- Integration health
- 90%
- Attribution coverage
- 82%
- Data consistency
- 88%
Confidence drops, the recommendation is suppressed or becomes a watch item, and Paid Lens names the missing signal. It would rather be uncertain than confidently wrong.
A recommendation is only as good as the story behind it.
Open any recommendation to see why it exists, what evidence supports it, what impact is expected, how confident the system is, and who decides what happens next.
Recommendation → Evidence → Decision
Move $4,200 / mo from Campaign B to Campaign D
- Reallocate
- Recommended action
- +18%
- Expected impact
- 92%
- Confidence
- Human decides
- Review posture
- Performance signal
- Cost per qualified opportunity for Campaign B has trended above the account average for four consecutive weeks.
- Comparison
- Campaign D is converting spend into qualified pipeline more efficiently over the same window.
- Business outcome
- Pipeline created, not clicks or impressions, is the outcome being compared.
- Data quality
- Both campaigns have fresh spend data and sufficient conversion volume.
- Attribution coverage
- Coverage is high enough on both campaigns to support a comparison at campaign level.
- Budget capacity
- Campaign D is not currently spending its available budget in full.
Illustrative example. Figures shown are not customer data.
Recommend. Review. Decide.
Paid Lens recommends. Your team reviews. Your team decides. It is a controlled decision layer, not an autonomous media buying system.
No automatic campaign changes are ever made on your behalf.
Every action shows the signals that produced it.
Recommendations are reviewed by your team before anything happens.
Rationale, evidence, and confidence stay attached to the recommendation.
Security and compliance controls designed for modern B2B teams.
Read-only. Controlled. Built for human review.
Built for teams where ad spend must convert to revenue.
Performance marketing teams
Spend less time assembling reports and more time making defensible budget decisions.
B2B SaaS growth teams
Connect paid acquisition performance to pipeline and revenue signals.
Performance agencies
Give clients a defensible decision layer instead of another reporting dashboard.
For agenciesYou are not buying another dashboard. You are buying better decisions.
Judge the price against the decisions, not the software.
Stop watching dashboards. Start making better budget decisions.
Bring us the messy measurements. We will show you how Paid Lens turns them into a decision queue your performance team can trust.
Read-only. Controlled. Built for human review.