See what is working
Per-location benchmarks, offline attribution, territory scoring, and executive rollup — so you can answer the only question that matters: where to invest next dollar.
4 agents in this swarm.
Hire the swarm together
Run every agent in this swarm under one engagement. We scope it to your operation — how many locations, which integrations, how much context tuning at onboarding — and come back with a fixed monthly number.
Or hire individual agents a la carte
Each agent below can be rented on its own. Pick one, hire a few, scale up later — the boundaries between agents stay clean so adding more never produces overlap.
Per-Location Performance Benchmarking Agent
Compares every location to its peer cohort on the metrics that move budget — at 2σ thresholds with root-cause attribution.
Hire the agent that ends the cohort-blind reporting tax. Ingests organic, paid, review, social, and foot-traffic signals per location; computes peer-cohort z-scores across region, brand, store-size, vertical, and ownership-model; flags 2σ outliers within hours of the period closing; and attaches a root-cause attribution sketch so the CMO can defend budget shifts to the board, PE sponsor, or franchisee council. Wraps Looker / Tableau / Power BI — does not replace them.
- Skills shipped
- 0/7
- Installs in
- Slack · Microsoft Teams · Email · Webhooks
See the agent →
Offline Attribution Intelligence Agent
Surface-as-foundation hybrid — answers which marketing dollar generated which revenue dollar at which store.
Hire the agent that closes the offline-online attribution gap. 70-90% of revenue at a multi-location operator happens offline at the store; marketing platforms see only the online click. This agent unifies call-tracking, foot-traffic, POS, and online-touchpoint signals into a per-location attribution graph with identity resolution across phone, device, loyalty, geofence, and payment-card hash. Both an external-facing surface buyers query directly AND a canonical unified-attribution-stream that downstream agents consume.
- Skills shipped
- 0/7
- Installs in
- Slack · Microsoft Teams · Email · Webhooks
See the agent →
Territory Analysis + Market Scoring Agent
Franchise-developer decisioning surface — per-market buy/skip/probe scoring with demographics, foot-traffic, real-estate, and FDD territorial-protection gating.
Hire the agent that scores every candidate market for next-unit growth. Ingests Census + ESRI + Mosaic demographics, Placer.ai + SafeGraph foot-traffic, Crexi + LoopNet real-estate listings, and your existing-unit P&L look-alikes; outputs per-market buy/skip/probe-deeper recommendations with confidence intervals, cannibalization risk against existing clusters, and FDD territorial-protection gating. Replaces Buxton / Tango / SiteZeus ($25-100k/year) for franchise systems at 50+ units with 10+ candidate markets per quarter.
- Skills shipped
- 0/8
- Installs in
- Slack · Microsoft Teams · Email · Webhooks
See the agent →
Per-Location Rollup + Executive Reporting Agent
CFO / board / PE-sponsor / franchisee-council reporting surface — cohort-framed rollups, drivers analysis, forward-looking recommendations.
Hire the agent that drafts your board decks, PE-sponsor letters, and franchisee-council memos. Consumes streams from location-benchmarking + attribution + anomaly-detection + master-record + audit-trail; produces quarterly board decks, monthly executive summaries, cohort-framed per-location rollups, drivers analysis, and forward-looking invest/divest recommendations. Replaces the $90-150k FP&A analyst + $5-15k/quarter BI consultant + the 20-40 hours of CFO deck-assembly time per board cycle.
- Skills shipped
- 0/8
- Installs in
- Slack · Microsoft Teams · Email · Webhooks
See the agent →
Capabilities in this swarm
29 published capabilities you can put into production through the agents above. Each one is a buyer problem we have already scoped and built for.
Attribution that finally adds up — across every location and every channel
A single attribution view that combines what is happening online (paid, organic, email) with what is happening offline (calls, foot traffic, POS), at every location, in your finance team's language.
Benchmark each location against the peers it should actually be compared to
Per-location performance framed against the peer cohort that actually matches — tenure, vertical, market tier, insurance mix, service mix, LTV cohort.
Brand voice consistency across every AI-generated output, at every location
Score every AI-generated output against your brand voice — auto-publish what is clearly on-brand, route the borderline cases to one batched review queue, send the rest back for a redraft.
Cannibalization risk scoring — on demand, not six weeks per study
For every candidate territory, get a continuous cannibalization risk score against your existing units — with the methodology preserved for FDD Item 12 audit defense.
Demographic data, per territory, refreshed automatically
Continuous demographic data for every territory you operate or evaluate — refreshed automatically as the underlying datasets update, joined to drive-time trade areas.
Draft the quarterly LP letter on day one, not week four
Per-portfolio-company quarterly LP letters drafted from the same reporting data that already feeds the board deck and the monthly exec summary — so the narrative is consistent and the numbers reconcile.
Eighteen acquisition targets a quarter. Foot traffic within minutes, not six weeks.
Live foot-traffic data from Placer.ai, SafeGraph, Near, Cuebiq, and Foursquare — joined to your territory analysis with trade-area visit volume, competitor share, and cannibalization risk scored immediately.
Evaluate prospective territories without the six-week wait
Competitor density, trade-area analysis, FDD Item 12 and Item 19 compliance, and cannibalization scoring — for every prospective territory, on demand, without a six-week consultancy engagement.
Every call, every location, one analytics view — even when each franchisee uses a different tool
Pulls call data from every platform your locations use (or each franchisee uses on their own) and joins it into one consolidated view — already linked to the customer who made the call.
Every territory grant — checked against every state's FDD rules — before you sign
The eighteen states with FDD registration or filing rules each have their own cycles. The system tracks every one of them against your actual territory record, so a grant cannot slip through unregistered.
Know exactly how many people walked into each location last month — and which marketing dollar brought them
Mobile data, in-store sensors, and ad-platform store visits — pulled into one per-location view that ties to your customer records.
KPI reporting your CFO and your franchisees can both trust
Cohort-framed KPIs — CAC, LTV, churn, retention — sliced by location, brand, channel, and time, with the methodology preserved so finance, ops, and board can all read the same numbers.
Or browse the full library across every swarm at all capabilities.
Other swarms
Browse the rest of the catalog.
The data layer
Your master record, brand spec, compliance rules, and governance — the substrate every other agent reads from. Most operators do not hire these standalone; they ship as the foundation under everything else.
Get found locally
Show up when people search nearby. Google Business Profile, citations, local content, per-location pages, schema, and local-pack rank tracking.
Win the click
Once they see you, give them a reason to choose you. Reviews answered, product descriptions that convert, paid-social creative that does not fatigue.
Capture the demand
Turn attention into a transaction. Local SEM, social, email, lead routing, lost-call recovery, and inventory-aware promotion.
Keep the customer
Retention, lifecycle, and customer-service AI — the work that turns one transaction into many.