Keep your marketing and product data — and your AI — true
Managed Run + Measure is optional, month-to-month support that keeps certified marketing, advertising, product, and revenue metrics monitored, governed, evaluated, and re-proven after a diagnostic or build project has shipped. It is a fit conversation for teams that can point to what is already live, who owns it, and what would break if the work drifted.
Ask about Run + Measure availabilityRun Essentials starts around $5,000-$8,000/mo. Run + Activate usually lands around $8,000-$15,000/mo. Run + Measure — where evaluation and lift-proof work live — usually lands around $15,000-$25,000/mo. These are planning ranges, not a minimum-term commitment. See details
Optional support after the proof is real
- Keep certified GTM and product metrics from drifting after the build ships
- Monitor source changes, data-quality breaks, and metric caveats before they hit board decks or AI answers
- Evaluate lead, churn, expansion, and spend models against the workflows they influence
- Re-prove spend-and-model lift quarterly when the decision stakes justify it
- Give leaders a recurring read on what dashboards, copilots, or board reports would get wrong this month
Ask about Run + Measure when...
- A diagnostic, build, metric layer, model, or workflow is already live and important enough to protect
- You can name the owner, decision cadence, and business consequence if the number or workflow drifts
- The team needs monthly monitoring, quarterly recertification, or lift-readout support tied to a real leadership decision
- Internal operators want to own or co-own the rhythm, but need an outside partner watching the seams between systems
- You want limited, month-to-month support after proof — not a generic maintenance retainer before the work has value
This is not the starting point if...
- The underlying metric definitions or source paths have not been certified yet — start with the AI-Ready Data Diagnostic, Data Foundation, or a focused diagnostic
- You want generic dashboard maintenance instead of governance, monitoring, evaluation, and measurement judgment
- You need a full managed-services vendor to run every analytics request, BI ticket, and ad-platform task
- You are looking for a mandatory annual retainer — this is optional, month-to-month, and limited availability
What Managed Run + Measure covers
Certified metric governance
Quarterly recertification of the governed semantic layer for the marketing, ad-platform, product, and revenue metrics your dashboards, board reports, and AI answers depend on.
Drift and data-quality monitoring
A recurring check for source changes, broken pipelines, field ownership changes, silent logic drift, and caveats that should travel with the number.
Model retraining and evaluation
Lead, churn, expansion, lifecycle, or budget models are evaluated against real workflow behavior instead of being left as stale scores in a CRM field.
Holdout and lift readouts
When the stakes justify it, we help structure holdout, champion-challenger, or lift-readout cycles so the team can tell whether a model or spend decision actually changed behavior.
Monthly wrong-answer read
A practical review of what your AI, dashboard, or board packet would answer wrong this month — and which issues need repair, caveat, or retirement.
How the monthly operating rhythm works
Confirm
We start from a shipped diagnostic, semantic layer, model, or measurement system that already has owners and business value. No project proof, no retainer push.
Monitor
Each month, we check drift, data-quality signals, source-system changes, model behavior, and the caveats that matter before the next leadership readout.
Measure
Quarterly, we recertify critical metrics and re-read model or spend performance with the right evidence label: directional, decision-grade, or lift-backed.
Decide
The output is a short operating read: what stayed reliable, what changed, what your AI or board would get wrong, and what should be repaired next.
$5,000-$25,000 per month
Limited availability. Month-to-month, optional, and usually added only after a project has proven its worth.
Send the run contextBefore you ask about Run + Measure
Bring the run context, not a blank discovery request
The useful first conversation is not ‘can you run analytics for us?’ It is ‘here is the metric, model, workflow, or measurement layer already in production; here is who owns it; here is what needs watching; here is the decision cadence; and here is what breaks if it drifts.’ If that context is not clear yet, start with a diagnostic or build path first.
Compare the service ladderClient Outcomes
Mid-market SaaS Growth Team
Attribution confidence moved from roughly 60% to 95% before spend decisions changed
The value was not the dashboard alone. It was the recurring discipline of keeping channel, CRM, and revenue logic aligned enough that leadership could defend spend decisions.
Read case studyPLG SaaS Product Team
A warehouse-backed activation workflow shipped in 3 weeks and reduced churn 18%
A useful signal becomes more valuable when someone keeps watching whether it still reaches the right workflow, with the right caveat, at the right time.
Read case studyNeed the run context first?
Use the QBR cadence checklist before asking about Managed Run
Use the checklist to name what is live, what needs monitoring, what would break if it drifts, and which monthly or quarterly decisions need a reliable rhythm.
Still proving the first model or metric layer?
Use Data Foundation when source precedence and certified metric definitions are not ready yet. Use Data Activation when a trusted model or workflow needs to reach CRM, lifecycle, or product operations safely.
Explore Data Foundation