Marketing science

The applied science factory for improving marketing decisions

Pavo learns how your marketing system works across spend, campaigns, cohorts, creatives, and outcomes. It builds the evaluation and runs experiments to improve incremental growth.

See how Pavo works

Current marketing stack

platforms · bids · creative

Spend + exposure

channel · campaign · audience

Cohort outcomes

conversion · payback · LTV

Candidate strategies

allocation · bidding · creative

Causal measurement

observed vs counterfactual

Geo / holdout test

one region held back

Incremental growth moves

Pavo learns your current marketing stack, reads spend and cohort outcomes together to propose allocation and bidding changes, measures each against a counterfactual, confirms the survivors with a geo holdout, and writes the measured result back.
  • Increase experimentation velocity

    Explore allocation, bidding, audience, and creative strategies. Move stronger candidates to controlled tests faster.

  • Increase win rates

    Evaluate candidates across cohorts, seasonality, incrementality, and CAC limits. Reserve budget for stronger evidence.

  • Force multiplier for your team

    Automate campaign analysis, incrementality evaluation, and experiment preparation.

Seekho

+8.23% M3 retention lift in offline evaluation for a Meta-ready pLTV signal.

Read case study

How it works

Connect your marketing stack

Connect spend, impressions, campaigns, audiences, creatives, conversions, cohort value, and experiment history.

Build system understanding

Pavo reconstructs how your production system works. Your team verifies the system book.

System bookArchitectureServices, models, pipelinesMetricsDefinitions and ownersFailure modesWhat breaks, and whenExperimentsPast runs and outcomes

Run applied science projects with Pavo

Give Pavo a growth goal and guardrails. It frames the problem, runs analyses, compares strategies, and opens PRs.

Frame the problemBuild hypothesesRun interventionsEvaluate offlineLive A/B test

Capabilities

Applied science judgement

Picking the right problem, the right approach, the right lever

  • Finds where the spend is underperforming - which channel, which campaign, which audience, which creative
  • Knows whether to fix budget allocation, bidding and targeting, the signal you send back, or the creative
  • Grounds it in your own past campaigns and cohort behaviour, not just what the platforms report
INCREMENTAL ROAS · EXAMPLE9%SEARCHSOCIALREPEATHIGH-LTVNEWALLOCATIONBIDDINGSIGNALVALUE GAPCREATIVEIMPROVE VALUE SIGNALFOR NEW USERS IN SOCIALTest: cohort value at fixed spendCOHORT OUTCOMESPAST CAMPAIGNS

Scientific rigour

Explores widely, and ships only what's proven

  • Tries multiple allocation, bidding and audience strategies at once instead of betting on one test
  • You see modelled incrementality on your own cohorts, before shifting real budget
  • Separates true incrementality from platform-attributed conversions and seasonality, and checks candidates against approved CAC ceilings
REUSEDIMPROVE VALUE SIGNALFOR NEW USERS IN SOCIALHISTORY REPLAYSEASONALITY ADJ.COHORT CHECKS301031ALLOCATIONBID TARGETAUDIENCECREATIVEVALUE SIGNALREPEATHIGH-LTVNEWDAY-0 RETENTIONPREDICTED LTVCALIBRATED VALUESELECTEDCOVERAGE-AWARE VALUEEXAMPLE · READY TO TEST

Knowledge compounds

Every iteration makes the next one cheaper

  • The work itself produces new knowledge - which channels bring durable LTV, how early signals predict payback, where a channel saturates
  • Written back to your system book, reviewed by your team, reused next time - it stays with you
  • Your team owns the learnings, so v2 to v3 to v4 gets faster, not just further
01LEARN02RETAIN03REUSECoverage-aware valueEXAMPLE · TESTEDEarly retention predicts valueAttribution differs from liftHigh value is long-tailedYOUR SYSTEM BOOKCOHORT RESPONSEMETRIC CALIBRATIONSIGNAL HISTORYTIME TO PROOF · EXAMPLE4wV23wV31wV4KNOWLEDGE REUSED

Use-cases

Illustrative channel allocation: search, social, and video all claim one consumer-app sale, while experiment-calibrated saturation curves identify the strongest next marketing dollar.

Each platform claims the sale, so we cannot tell which channel deserves more budget

Pavo combines spend, exposure, conversion, and cohort value data, compares media-mix and causal models against experiments, then estimates incremental return and saturation by channel.

Incremental ROASMarginal ROASSaturationCohort LTV
Illustrative consumer-subscription acquisition cohorts: many cheap installs decay, while fewer high-value subscribers persist and generate a value signal for bidding under fixed spend.

Our bidding optimises cheap conversions that do not become valuable customers

Pavo compares conversion signals, value models, bid targets, and feedback windows, then measures CAC, payback, and cohort LTV before your team changes platform inputs.

CACPaybackCohort LTVConversion quality
Illustrative streaming creative test: a synthetic holdout separates seasonal movement from incremental lift after a campaign launch.

Platform reports call one creative the winner, but seasonality may explain the lift

Pavo compares creative and audience variants on shared outcome definitions, designs holdouts or geo tests where feasible, then measures incremental conversion, CAC, and downstream value.

Incremental conversionCACCreative liftCohort value

Security and trust

  • ISO 27001

    Certified

  • SOC 2 Type II

    Compliant

  • Encryption

    Encrypted in transit and at rest, with managed production keys.

  • Access control

    Least-privilege access, enforced with MFA and reviewed quarterly.

  • Data control

    Tenant-segmented, with retention and customer-controlled deletion.

  • Monitoring and response

    Continuously monitored, centrally logged, and ready to respond.

  • Tested and patched

    Independently pen-tested, scanned, and kept current against threats.

  • Resilient by design

    Multi-AZ with backups and a tested continuity and recovery plan.

Full reports, policies, and the complete control list are available on request through the Trust Center.

Start with one marketing decision and one growth metric. Pavo helps your team understand the system, evaluate better strategies, and ship the first team-approved experiment.