Done-for-you offer · Fractional CMO with AI Swarm · cannibalization risk scoring for new-location site selection
Done-for-you cannibalization risk scoring for new-location site selection for multi-unit franchise, multi-location specialty retail, multi-location restaurant, multi-location convenience, multi-location service brand, and PE-sponsored portfolio operators evaluating 50-1,500 candidate new- location openings — a 5-skill foot-traffic fan-in + demographic fan-in + per-location parallel-process + cannibalization-score-generation + cross-skill-emission bundle on the territory agent.
The descriptive industry pattern for multi-location operators evaluating new openings: site-selection vendors ship strong demographic and foot-traffic primitives but the operator- side cannibalization model usually runs in spreadsheets reviewed quarterly; trade-area overlap, drive-time overlap, customer-cohort overlap, channel overlap, and operational overlap get estimated by analysts rather than modeled per- candidate; halo effects, substitution effects, and market- expansion effects get acknowledged in memos but rarely quantified; ECOA and Fair Housing Act considerations apply when demographic targeting is used in site decisions; franchise operators face per-state franchise-territorial- protection statutes that constrain which candidates can open without first-right-of-refusal coordination. Placer.ai, SafeGraph, Foursquare, Veraset, Cuebiq, Gravy Analytics, Azira, Onemata, and Locomizer ship strong foot- traffic mobility primitives. Esri Business Analyst, MapInfo, Maptive, ArcGIS Business Analyst, Tango Analytics, Buxton, and SiteZeus ship strong site-selection and trade- area-modeling primitives. Pitney Bowes, Claritas, Experian Mosaic, and Acxiom ship strong demographic-segmentation primitives. Snowflake, BigQuery, and Databricks ship strong warehouse primitives. The 5-skill cannibalization risk scoring layer is operator-side architecture. Completions builds and operates the 5-skill bundle on the territory agent. Operator owns every artifact and can in- house at any time.
Published September 24, 2026
Frequently asked
What does "Completions builds cannibalization risk scoring — 7th 5-skill bundle + NEW 2-input Fan-in-with-parallel-process topology + Cross-Swarm Same-Data 11th instance + Territory-agent densest P19 agent (5 skills)" actually deliver?
Completions builds and operates per-location per-candidate foot-traffic-fan-in + demographic-fan-in + per-location-parallel-process + cannibalization-score-generation + cross-skill-emission across the territory agent. Per-location per-candidate foot-traffic-fan-in (skill 1) fans in per-location per-candidate foot-traffic data emitted from the territory agent (per #488 continuous-foot-traffic-ingestion). Per-location per-candidate demographic-fan-in (skill 2) fans in per-location per-candidate demographic data emitted from the territory agent (per #507 demographic-data-ingestion). Per-location per-candidate per-location-parallel-process (skill 3) processes per-location per-candidate data in parallel across 50-1,500 locations × per-location per-candidate-new-location per-location-process-type (per-location per-candidate trade-area-overlap + per-location per-candidate drive-time-overlap + per-location per-candidate demographic-overlap + per-location per-candidate customer-cohort-overlap + per-location per-candidate channel-overlap + per-location per-candidate operational-overlap + per-location per-candidate distance-decay-effect + per-location per-candidate seasonality-effect + per-location per-candidate competitive-displacement-effect + per-location per-candidate halo-effect + per-location per-candidate substitution-effect + per-location per-candidate market-expansion-effect). Per-location per-candidate cannibalization-score-generation (skill 4) generates per-location per-candidate cannibalization-score across per-location per-candidate scoring-dimension (per-location per-candidate revenue-cannibalization + per-location per-candidate margin-cannibalization + per-location per-candidate traffic-cannibalization + per-location per-candidate AOV-cannibalization + per-location per-candidate market-share-cannibalization + per-location per-candidate cohort-cannibalization + per-location per-candidate net-incremental-revenue + per-location per-candidate net-incremental-margin + per-location per-candidate net-incremental-traffic + per-location per-candidate confidence-interval + per-location per-candidate sensitivity-analysis + per-location per-candidate scenario-analysis). Per-location per-candidate cross-skill-emission (skill 5) emits per-location per-candidate cannibalization-score-record to downstream subscribers (per-location per-candidate per-market-scoring-rollup + per-location per-candidate marketing-mix-modeling + per-location per-candidate competitive-density-mapping + per-location per-candidate journey-orchestrator + per-location per-candidate per-location-rollup-reporting + per-location per-candidate PE-sponsor-LP-letter-drafting). 🎯 7th 5-skill bundle — extends prior 6 5-skill bundles (latest #496 foot-traffic-integration) by adding the 7th 5-skill bundle (foot-traffic-fan-in + demographic-fan-in + per-location-parallel-process + cannibalization-score-generation + cross-skill-emission) on the territory agent; cumulative 5-skill bundle count in the catalog reaches 7 with this skill; 7th 5-skill bundle marks 5-skill bundle as a consistently-recurring canonical-bundle-size at 7 instances. 🎯 NEW 2-input Fan-in-with-parallel-process topology — extends prior Fan-in-with-parallel-process topology at 6-skill bundle (introduced at #504 per-location-attribution-models on walk-in-phone-attribution) by adding the NEW 2-input Fan-in-with-parallel-process topology at 5-skill bundle on territory agent where 2 fan-in inputs (foot-traffic + demographic) feed per-location-parallel-process feeds 2 integration stages; the FIRST 2-input Fan-in-with-parallel-process topology at 5-skill bundle in the catalog; marks 2-input Fan-in-with-parallel-process topology as a recurring catalog-wide topological pattern at 5-skill + 6-skill bundle sizes. 🎯 Cross-Swarm Same-Data 11th instance — extends prior Cross-Swarm Same-Data milestones (latest Cross-Swarm Same-Data 10TH INSTANCE DOUBLE-DIGIT MILESTONE at #509 per-location-demographics) by reaching the 11th cumulative Cross-Swarm Same-Data instance in the catalog with this skill; cumulative Cross-Swarm Same-Data count in the catalog reaches 11 with this skill; Cross-Swarm Same-Data 11th instance marks Cross-Swarm Same-Data as a confirmed recurring catalog-wide pattern post-DOUBLE-DIGIT milestone. 🎯 Territory-agent densest P19 agent (5 skills) — extends prior territory-agent P19 adjacent-industry skill count (latest 3 skills at #507 demographic-data-ingestion) by clustering the 5th cumulative P19 adjacent-industry skill on the territory agent (continuous-foot-traffic-ingestion + foot-traffic-integration cross-swarm + demographic-data-ingestion + per-location-demographics cross-swarm + cannibalization-risk-scoring); cumulative P19 adjacent-industry skill count on territory agent reaches 5 with this skill; Territory-agent densest P19 agent (5 skills) marks territory agent as the densest-P19-adjacent-industry-agent in the catalog at 5 cumulative adjacent-industry skills. Per-vertical compliance overlay (FCC + FTC + per-jurisdiction demographic-data-residency + per-vertical site-selection-disclosure + per-jurisdiction commercial-real-estate-disclosure + per-vertical anti-discrimination-policy + per-jurisdiction Equal-Credit-Opportunity-Act + per-jurisdiction Fair-Housing-Act). Operator team owns the per-location per-candidate foot-traffic-fan-in + demographic-fan-in + per-location-parallel-process + cannibalization-score-generation + cross-skill-emission registries + audit trail. Completions owns the swarm orchestration on the territory agent.
Why does in-house cannibalization risk scoring break at multi-location multi-candidate scale?
In-house operation fails on six axes: (1) per-location per-candidate foot-traffic-fan-in + demographic-fan-in across 50-1,500 locations × per-location per-candidate-new-location data requires production fan-in infrastructure unstaffable by internal teams; (2) per-location per-candidate per-location-parallel-process across 50-1,500 locations × 12 per-location-process-types requires geospatial-engineering + Bayesian-statistics capacity; (3) per-location per-candidate cannibalization-score-generation across 12 scoring-dimensions requires market-modeling + data-science capacity; (4) per-location per-candidate cross-skill-emission across 6 downstream-subscribers + emission-routing-policy + acknowledgment-tracking requires emission-engineering capacity; (5) 7th 5-skill bundle + NEW 2-input Fan-in-with-parallel-process topology + Cross-Swarm Same-Data 11th instance + Territory-agent densest P19 agent (5 skills) architecture coordination requires orchestration capacity at the territory densest-P19-agent tier; (6) per-vertical compliance overlay covering FCC + FTC + per-jurisdiction + per-vertical + ECOA + Fair-Housing requires legal-engineering capacity. Completions absorbs all six axes under one Tier 3 Fractional CMO with AI Swarm engagement.
What does the engagement look like across Tier 1 to Tier 2 to Tier 3?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic): audits six axes. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): builds foot-traffic-fan-in + demographic-fan-in + per-location-parallel-process + cannibalization-score-generation + cross-skill-emission on territory agent — completing the 7th 5-skill bundle + NEW 2-input Fan-in-with-parallel-process topology + Cross-Swarm Same-Data 11th instance + Territory-agent densest P19 agent (5 skills) architecture. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): continues operating end-to-end + cross-agent swarm coordination.
Who owns the foot-traffic-fan-in, demographic-fan-in, per-location-parallel-process, cannibalization-score-generation, and cross-skill-emission registries?
Operator owns 100% of every artifact: 5 registries (in operator data infrastructure), 5-skill bundle model code (operator-owned + operator-real-estate-team + operator-marketing-team + operator-data-science-team-aligned), per-source credentials (territory agent foot-traffic + demographic-data-ingestion sources under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), FCC + FTC + per-jurisdiction + per-vertical + ECOA + Fair-Housing disclosure register (operator-owned + operator-counsel-maintained), brand spec, LLM prompts, audit trail. Completions owns the orchestration knowledge.
What does Completions commit to on a Tier 3 engagement?
Completions commits to a 5-workstream pre-engagement-baseline reporting cycle on the territory agent: (1) Foot-Traffic + Demographic Fan-In workstream — pre-engagement baseline of which mobility vendors and demographic-segmentation vendors are wired today and at what completeness, then weekly reporting on fan-in coverage and per-source data-delivery reliability. (2) Per-Location Parallel-Process workstream — pre-engagement baseline of which of the 12 process types are currently computed today (trade-area, drive-time, demographic, customer-cohort, channel, operational, distance-decay, seasonality, competitive-displacement, halo, substitution, market-expansion), then weekly reporting on process coverage and per-process outcome distribution. (3) Cannibalization-Score-Generation workstream — pre-engagement baseline of which scoring dimensions exist today, then weekly reporting on scoring coverage across the 12 dimensions and observed calibration against operator-supplied historical new-location-open data as cohorts mature. (4) Cross-Skill-Emission workstream — pre-engagement baseline of which downstream subscribers receive scores today, then weekly reporting on emission coverage and observed end-to-end latency. (5) Attestation + Audit-Trail workstream — pre-engagement baseline of audit-trail discipline today, then weekly reporting on attestation persistence and compliance-overlay completeness. Caveats: cannibalization-score calibration depends on the maturity of the operator new-location-open history available for backtesting, operator-specific trade-area definitions, and the operator-specific drive-time and substitution assumptions; mobility vendor data is subject to vendor schema changes and per-jurisdiction mobility-data-residency rules outside Completions and operator control; ECOA and Fair Housing Act demographic-targeting boundaries must be operator-counsel-approved at every meaningful new-location decision; per-state franchise-territorial-protection statutes constrain candidate openings and require franchisee first-right-of-refusal coordination outside Completions control; net-incremental-revenue outcomes depend on operator-side store-opening execution capacity, supplier readiness, staffing, and market conditions in the 365 days post-open; the audit trail persists to operator-owned storage on the operator cloud account.
How does engagement end and what is the operator transition path?
Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 5 registries hand-off + 5-skill bundle model code hand-off + per-source credentials hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). Hand off to Tier 2 ($25-50k, 4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded).
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