Done-for-you offer · Fractional CMO with AI Swarm · per-location-attribution-models skill · JOINT -DENSEST AGENT
Completions builds per-location attribution models — 🎯 3 rd 6-skill bundle + 🎯 NEW Fan-in-with-parallel-process topology + 🎯 NEW 5-to-6 growth path Per-location-Process + walk-in-phone-attribution JOINT-DENSEST AGENT
You operate 50-1,500 locations × 10-100 markets × per -location per-tactic attribution-model dependency. Per -location attribution models without governance fragments per-location-process + counterfactual-replay + attribution -reconcile + forecast-refresh. Completions builds the per -location-attribution-models 6-skill bundle on the walk -in-phone-attribution agent end-to-end. 🎯 3rd 6-skill bundle (foot-traffic-fan-in + MMM-baseline-fan-in + per -location-process + counterfactual-replay + attribution -reconcile + forecast-refresh — 3rd 6-skill bundle in catalog; marks 6-skill bundle as consistently-recurring canonical-bundle-size at 3 instances). 🎯 NEW Fan-in -with-parallel-process topology (FIRST Fan-in-with -parallel-process topology in catalog — 2 fan-in inputs feed per-location-parallel-process across 50-1,500 locations feeds 3 integration stages). 🎯 NEW 5-to-6 growth path Per-location-Process (FIRST 5-to-6 growth path Per-location-Process in catalog — #496 5-skill bundle grows to 6-skill via Per-location-Process addition; 9th architectural-growth-path pattern). 🎯 Walk-in-phone-attribution JOINT-DENSEST AGENT (walk-in -phone-attribution agent JOINT-TIES customer-graph agent as densest-agent-by-skill-count at 4 cumulative skills; 2nd confirmed JOINT-DENSEST AGENT in catalog alongside customer-graph). You keep every artifact.
Published September 24, 2026
Frequently asked
What does "Completions builds per-location attribution models — 3rd 6-skill bundle + NEW Fan-in-with-parallel-process topology + NEW 5-to-6 growth path Per-location-Process + walk-in-phone-attribution JOINT-DENSEST AGENT" actually deliver?
Completions builds and operates per-location per-tactic foot-traffic-fan-in + MMM-baseline-fan-in + per-location-process + counterfactual-replay + attribution-reconcile + forecast-refresh across the walk-in-phone-attribution agent. Per-location per-tactic foot-traffic-fan-in (skill 1) fans in per-location per-tactic foot-traffic data emitted from territory agent (per #488 continuous-foot-traffic-ingestion + #496 foot-traffic-integration). Per-location per-tactic MMM-baseline-fan-in (skill 2) fans in per-location per-tactic MMM-baseline emitted from #477 marketing-mix-modeling. Per-location per-tactic per-location-process (skill 3 — NEW PER-LOCATION-PROCESS ADDITION) processes per-location per-tactic data in parallel across 50-1,500 locations × 10-100 markets × per-location per-tactic per-location-process-type (per-location per-tactic per-location-elasticity-resolution + per-location per-tactic per-location-saturation-resolution + per-location per-tactic per-location-decay-resolution + per-location per-tactic per-location-cross-channel-synergy + per-location per-tactic per-location-cross-channel-cannibalization + per-location per-tactic per-location-seasonality-adjustment + per-location per-tactic per-location-competitive-adjustment + per-location per-tactic per-location-strategic-priority-adjustment + per-location per-tactic per-location-confidence-attribution + per-location per-tactic per-location-trust-attribution). Per-location per-tactic counterfactual-replay (skill 4) emits per-location per-tactic counterfactual-record with per-location per-tactic incremental-revenue + incremental-margin + counterfactual-confidence + counterfactual-attestation. Per-location per-tactic attribution-reconcile (skill 5) reconciles per-location per-tactic attribution across foot-traffic-attributable + digital-attributable + walk-in-attributable + phone-attributable + cross-channel-attributable + unallocated-attributable. Per-location per-tactic forecast-refresh (skill 6) refreshes per-location per-tactic forecast with per-location-conditioned + seasonality-conditioned + competitive-conditioned + per-location-elasticity-conditioned + strategic-priority-conditioned forecast-output. 🎯 3rd 6-skill bundle — extends prior 2 6-skill bundles (latest #484 per-franchisee-accountability-views) by adding the 3rd 6-skill bundle (foot-traffic-fan-in + MMM-baseline-fan-in + per-location-process + counterfactual-replay + attribution-reconcile + forecast-refresh) on the walk-in-phone-attribution agent; cumulative 6-skill bundle count in the catalog reaches 3 with this skill; 3rd 6-skill bundle marks 6-skill bundle as a consistently-recurring canonical-bundle-size at 3 instances in the catalog. 🎯 NEW Fan-in-with-parallel-process topology — extends prior Fan-In pipeline topology (introduced at #496 foot-traffic-integration as 5-skill bundle topology Fan-In sub-pattern) by adding the NEW Fan-in-with-parallel-process topology where 2 fan-in inputs (foot-traffic + MMM-baseline) feed per-location-parallel-process (per-location 50-1,500 locations processed in parallel) feeds 3 integration stages; the FIRST Fan-in-with-parallel-process topology in the catalog; marks Fan-in-with-parallel-process topology as a NEW canonical 6-skill-bundle topological refinement. 🎯 NEW 5-to-6 growth path Per-location-Process — extends prior bundle-growth-path patterns (latest #493 NEW 4-to-5 growth path Template) by adding the NEW 5-to-6 growth path where a prior 5-skill bundle (foot-traffic-fan-in + MMM-baseline-fan-in + counterfactual-replay + attribution-reconcile + forecast-refresh at #496) grows to a 6-skill bundle via the Per-location-Process addition; the FIRST 5-to-6 growth path Per-location-Process in the catalog; cumulative architectural-growth count in the catalog reaches 9 with this skill; NEW 5-to-6 growth path Per-location-Process marks 5-to-6 growth path Per-location-Process as the 9th canonical architectural-growth-path pattern. 🎯 Walk-in-phone-attribution JOINT-DENSEST AGENT — walk-in-phone-attribution agent now hosts 4 cumulative skills (per #477 marketing-mix-modeling + #496 foot-traffic-integration + this skill + future); walk-in-phone-attribution JOINT-TIES customer-graph agent (per #473 versioned-customer-history + #502 ltv-math-primitives + foot-traffic-integration cross-swarm-same-data + attribution-event-emission cross-swarm-same-data) as densest-agent-by-skill-count in the catalog at 4 cumulative skills; Walk-in-phone-attribution JOINT-DENSEST AGENT marks walk-in-phone-attribution as the 2nd confirmed JOINT-DENSEST AGENT in the catalog (alongside customer-graph). 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-location per-tactic foot-traffic-fan-in + MMM-baseline-fan-in + per-location-process + 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 per-location attribution models break at multi-location multi-tactic multi-source scale?
In-house operation fails on six axes: (1) per-location per-tactic foot-traffic-fan-in + MMM-baseline-fan-in across 50-1,500 locations × 10-100 markets × per-location per-tactic 30+ channels requires production fan-in infrastructure unstaffable by internal teams; (2) per-location per-tactic per-location-process across 50-1,500 locations × per-location per-tactic 10 per-location-process-types requires Bayesian-statistics + operations-research capacity; (3) per-location per-tactic counterfactual-replay + attribution-reconcile + forecast-refresh requires data-science + experimental-design capacity; (4) 3rd 6-skill bundle + NEW Fan-in-with-parallel-process topology + NEW 5-to-6 growth path Per-location-Process + walk-in-phone-attribution JOINT-DENSEST AGENT architecture coordination requires orchestration capacity at the JOINT-DENSEST AGENT tier; (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-location per-tactic per-source data-source maintenance (per-source foot-traffic + MMM-baseline data-sources change schemas every 1-3 months) requires data-source-coordination 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 + MMM-baseline-fan-in + per-location-process + counterfactual-replay + attribution-reconcile + forecast-refresh on walk-in-phone-attribution agent — completing the 3rd 6-skill bundle + NEW Fan-in-with-parallel-process topology + NEW 5-to-6 growth path Per-location-Process + walk-in-phone-attribution JOINT-DENSEST AGENT 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, MMM-baseline-fan-in, per-location-process, counterfactual-replay, attribution-reconcile, and forecast-refresh registries?
Operator owns 100% of every artifact: 6 registries (in operator data infrastructure), 6-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-location per-tactic foot-traffic-fan-in coverage at 99-percent target; (2) per-location per-tactic MMM-baseline-fan-in coverage at 99-percent target; (3) per-location per-tactic per-location-process accuracy at 90-percent target across 10 per-location-process-types; (4) per-location per-tactic counterfactual-replay fidelity at 90-percent target; (5) per-location per-tactic attribution-reconcile coverage at 95-percent target; (6) per-location per-tactic forecast-refresh accuracy at 85-percent target (predicted-vs-actual at 90-day mark); (7) 3rd 6-skill bundle + NEW Fan-in-with-parallel-process topology + NEW 5-to-6 growth path Per-location-Process + walk-in-phone-attribution JOINT-DENSEST AGENT architecture coordination latency under 24-hour end-to-end per-location per-tactic cycle; (8) per-vertical compliance overlay coverage at 99-percent target; (9) per-location per-tactic incremental-revenue calibration accuracy at 80-percent target; (10) per-location 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 + 6 registries hand-off + 6-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).