Tier 2 Setup Sprint · P162
Per-Location Marketing Performance Benchmarking
Per-location marketing performance scoring across rank, traffic, conversion, CAC, and retention dimensions. Peer-cohort comparison (vs same-vertical and same-size locations) + AI narrative generation + drillthrough explanation when a location under-performs. Replaces quarterly analyst-driven reviews with continuous benchmarking.
- Price
- $25,000–$35,000
- Timeline
- 6 weeks
- Ownership
- You own all artifacts
01 · The problem
Why per-location marketing performance benchmarking exists.
Each location in your network gets measured by gut feel and revenue alone. You cannot benchmark Store 247 against the right peer cohort because comparing Manhattan flagship to rural Texas is meaningless. Quarterly analyst-driven reviews surface anomalies six weeks late. Operators frustrated they cannot see their relative standing. Headquarters frustrated that underperformance is not surfaced until quarter-end. BI tools build custom dashboards but require expensive analyst headcount and lack out-of-the-box franchise-marketing scoring.
02 · Desired result
What success looks like.
Per-location performance scoring across rank, traffic, conversion, CAC, and retention. Peer-cohort comparison via clustering on vertical + size + tenure + DMA. AI-generated narrative explaining why each location performs the way it does. Anomalies surfaced weekly + recommended actions per under-performer. Drillthrough explanation when locations slip.
03 · How we get there
The 5-step approach.
- 1
Stand up cross-domain data joining (primitive 9) for per-location marketing + ops + financial data
- 2
Build measurement-foundation layer (primitive 8) — dashboards + executive narratives
- 3
Define peer-cohort assignment logic (vertical + size + tenure + DMA clustering)
- 4
Calibrate AI narrative generator for weekly + monthly + quarterly executive summaries
- 5
Wire anomaly alerting + drillthrough explanation interface
Video in production
The cover-page video for this SKU is in production. Check back shortly.
04 · Two paths
Two ways to deploy per-location marketing performance benchmarking.
Both paths reach the same outcome. The DIY guide walks through the implementation step-by-step at zero cost; the productized engagement ships in the stated timeline at fixed pricing with full ownership transfer at the end.
DIY
Follow the guide yourself
The DIY walkthrough for per-location marketing performance benchmarking is coming soon. In the meantime, the productized engagement gets you to the same outcome faster.
- Effort
- Yours
- Time
- Self-paced
- Cost
- Free
Productized service
Have us deploy it for you
We build and deploy per-location marketing performance benchmarking across your operation. Fixed timeline, fixed pricing. You own every artifact — code, prompts, configs, training — at the end.
- Effort
- Ours
- Time
- 6 wk
- Cost
- $25,000–$35,000
05 · Who buys this
When this engagement fits.
Franchise CMO with 25+ locations who wants to compare each location's marketing performance against peers and the network average. Currently doing rough comparison via revenue and gut-feel CAC, rarely benchmarked against true peers, no AI narrative to explain why specific locations under-perform. Operators frustrated they cannot see their relative standing without manual quarterly reviews.
06 · Where vendors fall short
Status-quo tooling gap.
BI tools (Looker, Tableau, Domo) build custom dashboards but require expensive analyst headcount and lack out-of-the-box franchise marketing scoring. Vendor reports (Reputation.com, Birdeye) cover narrow surface slices only. No tool delivers integrated multi-dimension marketing benchmarking + AI narrative + peer-cohort analysis natively for franchise operations.
07 · The AI capability we add
What the AI swarm does that vendors do not.
- Per-location marketing-performance scoring across 5+ dimensions (rank, traffic, conversion, CAC, retention)
- Peer-cohort comparison via clustering on vertical + size + tenure + DMA characteristics
- AI narrative generation: weekly + monthly + quarterly executive summaries per location
- Anomaly highlighting + recommended actions for under-performers
- Drillthrough explanation: "why is location X under-performing?" surfaces root-cause hypotheses ranked by likelihood
08 · What we deliver
Engagement scope — 6 weeks.
- Per-location performance dashboard with peer-cohort overlay
- Multi-dimension scoring layer consuming primitive 8 measurement-foundation + primitive 9 cross-domain data
- Peer-cohort assignment engine (intrinsic to scope per loop research)
- AI narrative generator (weekly + monthly + quarterly cadences)
- Anomaly alerting + drillthrough explanation interface
- Recommended action ranking per under-performer
- 30-day operating tail with narrative tuning
What's included
- Per-location data ingestion across marketing channels
- Peer-cohort design + calibration
- Brand-voice gate on every narrative output
- CMO + Operations training (2 sessions, 60 min each)
- PostHog telemetry on narrative engagement
What's not included
- Net-new analytics vendor procurement
- Operational marketing execution (we measure + benchmark; your team executes recommendations)
- Multi-vertical peer-cohort data (we use your network + adjacent verticals from public data; private competitive benchmarking requires a separate engagement)
09 · Common questions
Frequently asked.
- What does "peer-cohort comparison" mean specifically?
- Locations are clustered by characteristics (vertical, location size, tenure, DMA, market dynamics) so a Manhattan flagship is compared to other Manhattan flagships rather than to rural Texas stores. Cohort assignment is automatic via the peer-cohort engine — no manual configuration needed beyond initial vertical taxonomy.
- How does the AI narrative work?
- Weekly: short paragraph per location summarizing the prior week's performance + anomalies + recommended actions. Monthly: deeper dive across all dimensions with peer-cohort comparison. Quarterly: trend analysis + cohort-shift analysis + strategic recommendation. Every narrative is brand-voice-gated so it sounds like your operation, not a generic Looker report.
- What if a location refuses to act on recommendations?
- The dashboard surfaces under-performers; recommendations are surfaced to the location operator + the regional manager + corporate per your governance preferences. We do not enforce action — that is operations' job. We give marketing leadership visibility into who is acting on insights and who is not.
Ready to deploy per-location marketing performance benchmarking?
$25,000–$35,000 · 6 weeks · you own every artifact.