Done-for-you offer · Fractional CMO with AI Swarm · foot-traffic-integration skill
Completions builds foot-traffic integration — 🎯 6th 5 -skill bundle + NEW 17th closed-loop orientation Fan-In pipeline + 5-skill bundle topology now 3 sub-patterns + Cross-Swarm Same-Data 9th + MMM Resurgence 4th
You operate 50-1,500 locations × 10-100 markets × per -market per-tactic foot-traffic integration dependency. Per-market foot-traffic integration without governance fragments per-tactic MMM-update + counterfactual-replay + attribution-reconcile + forecast-refresh. Completions builds the foot-traffic-integration 5-skill bundle on the walk-in-phone-attribution agent end-to-end. 🎯 6th 5-skill bundle (foot-traffic-integration + MMM-update + counterfactual-replay + attribution-reconcile + forecast -refresh — 6th 5-skill bundle in catalog). 🎯 NEW 17th closed-loop orientation Fan-In pipeline (FIRST Fan-In pipeline closed-loop orientation in catalog — territory agent foot-traffic data AND walk-in-phone-attribution MMM baseline data fan in for integration). 🎯 5-skill bundle topology now 3 sub-patterns (Pipeline-stage + Parallel-authoring + Fan-In — 3rd topological sub -pattern; marks 5-skill bundle topology as recurring catalog-wide pattern at 3 confirmed sub-patterns). 🎯 Cross-Swarm Same-Data 9th (9th cumulative Cross-Swarm Same-Data instance — per-market foot-traffic flows from territory agent to walk-in-phone-attribution agent). 🎯 MMM Resurgence 4th (4th cumulative MMM Resurgence instance — extends MMM as post-iOS-14.5 canonical reclaim-attribution-mechanic). You keep every artifact.
Published September 24, 2026
Frequently asked
What does "Completions builds foot-traffic integration — 6th 5-skill bundle + NEW 17th closed-loop orientation Fan-In pipeline + 5-skill bundle topology now 3 sub-patterns + Cross-Swarm Same-Data 9th + MMM Resurgence 4th" actually deliver?
Completions builds and operates per-market per-tactic foot-traffic integration + per-market per-tactic MMM-update + per-market per-tactic counterfactual-replay + per-market per-tactic attribution-reconcile + per-market per-tactic forecast-refresh across the walk-in-phone-attribution agent. Per-market per-tactic foot-traffic integration (skill 1) ingests per-market per-territory per-source per-cohort foot-traffic data emitted from the territory agent (per #488 territory-foot-traffic-ingestion) and per-market per-source per-channel per-tactic spend data emitted from the marketing-mix-modeling baseline (per #477 marketing-mix-modeling); both data-streams fan in to the walk-in-phone-attribution agent for per-market per-tactic integration. Per-market per-tactic MMM-update (skill 2) updates per-market MMM with per-tactic foot-traffic input + per-tactic response-curve-re-resolution + per-tactic posterior-confidence-refresh + per-tactic credibility-interval-refresh. Per-market per-tactic counterfactual-replay (skill 3) emits per-market per-tactic counterfactual-record with per-tactic incremental-revenue-foot-traffic-attribution + per-tactic incremental-margin-foot-traffic-attribution + per-tactic counterfactual-confidence + per-tactic counterfactual-attestation. Per-market per-tactic attribution-reconcile (skill 4) reconciles per-market per-tactic foot-traffic-attributable visits against per-market per-tactic digital-attributable + per-market per-tactic walk-in-attributable + per-market per-tactic phone-attributable + per-market per-tactic cross-channel-attributable + per-market per-tactic unallocated-attributable. Per-market per-tactic forecast-refresh (skill 5) refreshes per-market per-tactic forecast with per-tactic foot-traffic-conditioned + per-tactic seasonality-conditioned + per-tactic competitive-conditioned + per-tactic per-market-elasticity-conditioned + per-tactic strategic-priority-conditioned forecast-output. 🎯 6th 5-skill bundle — extends prior 5 5-skill bundles (latest #495 event-tie-in-drafting) by adding the 6th 5-skill bundle (foot-traffic-integration + MMM-update + counterfactual-replay + attribution-reconcile + forecast-refresh) on the walk-in-phone-attribution agent; cumulative 5-skill bundle count in the catalog reaches 6 with this skill; 6th 5-skill bundle marks 5-skill bundle as a consistently-recurring canonical-bundle-size at 6 instances. 🎯 NEW 17th closed-loop orientation Fan-In pipeline — extends prior closed-loop orientations (latest #495 16th 5-stage local-content production stack) by adding the NEW 17th closed-loop orientation (Fan-In pipeline where per-market foot-traffic data emitted from territory agent AND per-market MMM baseline data from walk-in-phone-attribution agent fan in to walk-in-phone-attribution agent for integration); cumulative closed-loop orientation count in the catalog reaches 17 with this skill; NEW 17th closed-loop orientation Fan-In pipeline marks Fan-In pipeline as the 17th canonical closed-loop orientation and the FIRST Fan-In pipeline closed-loop orientation in the catalog. 🎯 5-skill bundle topology now 3 sub-patterns — extends prior 5-skill bundle topology with 2 sub-patterns (Pipeline-stage + Parallel-authoring at #495) by adding the 3rd sub-pattern (Fan-In where 5 skills compose as 2 fan-in inputs feeding 3 integration stages); cumulative 5-skill-bundle-topology sub-pattern count in the catalog reaches 3 with this skill; 5-skill bundle topology now 3 sub-patterns marks 5-skill bundle topology as a recurring catalog-wide topological pattern at 3 confirmed sub-patterns (Pipeline-stage + Parallel-authoring + Fan-In). 🎯 Cross-Swarm Same-Data 9th — extends prior Cross-Swarm Same-Data PAIR + FABRIC patterns by adding the 9th cumulative Cross-Swarm Same-Data instance where per-market foot-traffic data flows from territory agent to walk-in-phone-attribution agent for same-data cross-swarm integration; cumulative Cross-Swarm Same-Data count in the catalog reaches 9 with this skill; Cross-Swarm Same-Data 9th marks Cross-Swarm Same-Data as a recurring catalog-wide pattern at 9 cumulative instances. 🎯 MMM Resurgence 4th — extends prior MMM Resurgence (introduced at #477 marketing-mix-modeling) by adding the 4th cumulative MMM Resurgence instance where per-market per-tactic foot-traffic integration extends MMM as the post-iOS-14.5 canonical reclaim-attribution-mechanic; cumulative MMM Resurgence count in the catalog reaches 4 with this skill; MMM Resurgence 4th marks MMM Resurgence as a recurring catalog-wide pattern at 4 cumulative instances. Per-vertical compliance overlay (FCC mobility-data + FTC mobility-data + SEC Reg FD/G + FINRA + SOX + GAAP ASC 606 + IFRS 15 + per-jurisdiction mobility-data-residency + per-vertical attribution-disclosure + per-jurisdiction territorial-disclosure). Operator team owns the per-market per-tactic foot-traffic-integration + MMM-update + counterfactual-replay + attribution-reconcile + forecast-refresh registries + audit trail. Completions owns the swarm orchestration on the walk-in-phone-attribution agent.
Why does in-house foot-traffic integration break at multi-market multi-tactic multi-source scale?
In-house operation fails on six axes: (1) per-market per-tactic foot-traffic integration across 50-1,500 locations × 10-100 markets × per-market per-tactic 30+ channels requires production integration infrastructure unstaffable by internal teams; (2) per-market per-tactic MMM-update + counterfactual-replay + attribution-reconcile + forecast-refresh requires Bayesian-statistics + data-science + operations-research capacity; (3) 6th 5-skill bundle + NEW 17th closed-loop orientation Fan-In pipeline + 5-skill bundle topology now 3 sub-patterns + Cross-Swarm Same-Data 9th + MMM Resurgence 4th architecture coordination requires orchestration capacity at the Fan-In pipeline tier; (4) per-market per-tactic per-source foot-traffic data-source maintenance (12+ foot-traffic data-sources + 30+ channel data-sources change schemas every 1-3 months) requires data-source-coordination capacity; (5) per-vertical compliance overlay covering FCC + FTC + SEC + FINRA + SOX + GAAP + IFRS + per-jurisdiction + per-vertical requires legal-engineering + financial-engineering capacity; (6) per-market per-tactic counterfactual-attestation + audit-trail requires audit-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-integration + MMM-update + counterfactual-replay + attribution-reconcile + forecast-refresh on walk-in-phone-attribution agent — completing the 6th 5-skill bundle + NEW 17th closed-loop orientation Fan-In pipeline + 5-skill bundle topology now 3 sub-patterns + Cross-Swarm Same-Data 9th + MMM Resurgence 4th 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-integration, MMM-update, counterfactual-replay, attribution-reconcile, and forecast-refresh registries?
Operator owns 100% of every artifact: 5 registries (in operator data infrastructure), 5-skill bundle model code (operator-owned + operator-finance-team + operator-marketing-team + operator-data-science-team-aligned), per-source credentials (12+ foot-traffic data-sources + 30+ channel data-sources + per-vertical specialty platforms under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney + CFO approved updates), FCC + FTC + SEC + FINRA + SOX + GAAP + IFRS + per-jurisdiction + per-vertical disclosure register (operator-owned + operator-counsel + operator-CFO-maintained), brand spec, LLM prompts, audit trail. Completions owns the orchestration knowledge.
What KPIs will Completions commit to on Tier 3 engagement?
Typical Tier 3 commitments: (1) per-market per-tactic foot-traffic integration coverage at 99-percent target; (2) per-market per-tactic MMM-update posterior-confidence at 95-percent credibility-interval; (3) per-market per-tactic counterfactual-replay fidelity at 90-percent target; (4) per-market per-tactic attribution-reconcile coverage at 95-percent target (sum-of-allocated reconciliation); (5) per-market per-tactic forecast-refresh accuracy at 85-percent target (predicted-vs-actual at 90-day mark); (6) 6th 5-skill bundle + NEW 17th closed-loop orientation Fan-In pipeline + 5-skill bundle topology now 3 sub-patterns + Cross-Swarm Same-Data 9th + MMM Resurgence 4th architecture coordination latency under 24-hour end-to-end per-market per-tactic cycle; (7) per-vertical compliance overlay coverage at 99-percent target; (8) per-market per-tactic incremental-revenue-foot-traffic-attribution calibration accuracy at 80-percent target; (9) per-market per-tactic counterfactual-attestation persistence at 100-percent target; (10) per-market per-tactic audit-trail persistence at 100-percent target.
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 + per-vertical compliance overlay rule library 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).