Operate: keeping it correct after go-live
An agent that was right in March starts being wrong in September. Vendors change document formats, thresholds drift away from practice, models get deprecated, and the process the audit mapped quietly moves. The Marketing Engine is infrastructure, and infrastructure gets maintained.
| Measure | Before | After | Change |
|---|---|---|---|
| Campaign launch cycle | 9 days | 3 days | 67% faster |
| Audience sync time | 34 hours | 4 hours | 88% faster |
| Manual QA effort | 12 hrs/week | 3 hrs/week | 75% removed |
| Conversion signal coverage | 87.6% | 95.4% | +7.8 pts |
| Cost per qualified opportunity | $1,120 | $740 | 34% lower |
- W0Go-live87.6%
- W4Manager edits retune the messaging library91.1%
- W8Site template change detected93.8%
- W12Consent handling split by region95.4%
| Point | Value |
|---|---|
| W0 | 87.6% |
| W2 | 89.4% |
| W4 | 91.1% |
| W6 | 92.6% |
| W8 | 93.8% |
| W10 | 94.7% |
| W12 | 95.4% |
Accuracy climbs because corrections from your team are fed back, not because the model improved on its own. The marked weeks are the events that moved it. Each Engine reaches a different plateau, because each starts from a different baseline and a different exception mix.
Model swaps
Copy and claim checks are re-benchmarked against what your reviewers approved and rejected, so a model change is validated against your own messaging library.
Tracking drift
Site templates change, platforms deprecate parameters, and consent rules differ by region. Coverage gets checked continuously rather than discovered at quarter end.
Next workflow along
Partner and co-marketing asset production reuses the repurposing pattern already built, and event follow-up reuses audience activation.
- Drift report: where practice has moved away from what the agents were built against
- Threshold tuning against the decisions your team actually made
- Document and format updates as vendors and systems change
- Accuracy review by exception type, not one blended number
- Business review against the baseline the audit set
- Scoping the next workflow, usually the one adjacent to what already runs
- Model re-benchmarking against your own captured decisions
- Roadmap for the following quarter, with what we would not build and why
Start with the marketing workflow that costs you the most
The audit runs 3 to 4 weeks on site at $15–25k, credited in full against a build signed within 90 days. It produces the system map, the exception taxonomy and a build plan, and you own all of it whether or not the build follows.
The before and after columns are modelled from the basis company, and the accuracy curve is the shape we build toward rather than a measurement. Eidral has run no client engagement, so there is no delivered result to show here, and a curve presented as measured would be the one claim on this site that could not survive a reference check.