Done-for-you offer · Fractional CMO with AI Swarm · foot-traffic integration into marketing-mix-modeling
Done-for-you foot-traffic integration into marketing-mix- modeling for multi-location specialty retail, multi-location restaurant, multi-location grocery, multi-location convenience, multi-unit franchise, and PE-sponsored portfolio operators running cross-channel paid media across 10-100 markets — a 5-skill foot-traffic-integration + MMM-update + counterfactual-replay + attribution-reconcile + forecast- refresh bundle on the walk-in-phone-attribution agent.
The descriptive industry pattern for multi-location and multi- market operators: foot-traffic vendors deliver per-market per- source mobility data on their own schemas and cadences; MMM toolchains expect normalized spend + outcome inputs; in-house operations sequence the integration manually each quarter; counterfactual replay rarely happens because per-tactic incremental attribution requires Bayesian + posterior- confidence machinery; attribution reconciles to digital- attributable + walk-in-attributable + phone-attributable + cross-channel-attributable + unallocated only at the end of each cycle; post-iOS 14.5 attribution-loss makes foot-traffic a primary reclaim signal for paid social and paid search measurement. Placer.ai, SafeGraph, Foursquare, Veraset, Cuebiq, Gravy Analytics, Azira, Onemata, and Locomizer ship strong foot-traffic mobility primitives. Google Store Visits and Meta In-Store Visits ship strong platform-native attribution primitives. Meta Robyn, Google LightweightMMM, Recast, Aim4Media, MASS Analytics, and Analytic Edge ship strong MMM toolchain primitives. The 5-skill cross-system foot-traffic integration layer — foot-traffic- integration, MMM-update with response-curve re-resolution and credibility-interval refresh, counterfactual-replay with attestation, attribution-reconcile across digital + walk-in + phone + cross-channel + unallocated, and forecast-refresh conditioned on foot-traffic + seasonality + competition + per-market elasticity + strategic priority — is operator-side architecture. Completions builds and operates the 5-skill bundle on the walk-in-phone-attribution agent. Operator owns every artifact and can in-house at any time.
Published September 24, 2026
Frequently asked
What does the done-for-you foot-traffic integration bundle actually deliver?
Completions builds and operates a 5-skill bundle on the walk-in-phone-attribution agent: (1) Foot-Traffic-Integration ingests per-market per-source mobility data (Placer.ai, SafeGraph, Foursquare, Veraset, Cuebiq, Gravy Analytics, Azira, Onemata, Locomizer, Google Store Visits, Meta In-Store Visits) and per-market per-channel per-tactic spend data from the operator MMM toolchain (Meta Robyn, Google LightweightMMM, Recast, Aim4Media, MASS Analytics, Analytic Edge) into a single per-market per-tactic stream. (2) MMM-Update refreshes per-market MMM with foot-traffic inputs, response-curve re-resolution, posterior-confidence refresh, and credibility-interval refresh. (3) Counterfactual-Replay emits per-market per-tactic counterfactual records with incremental-revenue and incremental-margin attribution, counterfactual confidence, and an attestation record. (4) Attribution-Reconcile reconciles foot-traffic-attributable visits against digital-attributable, walk-in-attributable, phone-attributable, cross-channel-attributable, and unallocated. (5) Forecast-Refresh updates per-market per-tactic forecast outputs conditioned on foot-traffic, seasonality, competitive activity, per-market elasticity, and strategic priority. Compliance overlay covers FCC mobility-data, FTC mobility-data, SEC Reg FD/G, FINRA, SOX accounting controls, GAAP ASC 606, IFRS 15, per-jurisdiction mobility-data-residency, per-vertical attribution-disclosure, and per-jurisdiction territorial-disclosure. Operator owns 100% of the artifacts: 5 registries inside operator data infrastructure, 5-skill model code aligned with operator finance, marketing, and data-science teams, per-source credentials under operator billing, attorney- and CFO-approved per-vertical compliance overlay, prompts, and the audit trail. Completions owns the orchestration knowledge. Operator can in-house at any time.
Why is foot-traffic integration into MMM typically operator-side rather than mobility-vendor- or MMM-tool-shipped?
Placer.ai, SafeGraph, Foursquare, Veraset, Cuebiq, Gravy Analytics, Azira, Onemata, and Locomizer ship strong foot-traffic mobility primitives. Google Store Visits and Meta In-Store Visits ship strong platform-native attribution primitives. Meta Robyn, Google LightweightMMM, Recast, Aim4Media, MASS Analytics, and Analytic Edge ship strong MMM toolchain primitives. The 5 engineering surfaces of a cross-system foot-traffic integration layer typically sit operator-side rather than vendor-shipped: (1) Foot-Traffic-Integration has to consolidate per-market per-source mobility data across multiple vendors with different schemas and cadences plus per-market per-tactic spend data from the operator MMM toolchain; (2) MMM-Update across response-curve re-resolution + posterior-confidence + credibility-interval refresh binds to operator-specific Bayesian-statistics + data-science discipline and operator-specific tactic taxonomy; (3) Counterfactual-Replay binds to the operator-specific experimentation discipline + control-group definitions + attestation rules; (4) Attribution-Reconcile binds to operator-specific digital + walk-in + phone + cross-channel + unallocated attribution surfaces; (5) Forecast-Refresh binds to operator-specific seasonality models + competitive intelligence + per-market elasticity + strategic priority. No single mobility vendor or MMM toolchain maintains this cross-vendor integration layer. Completions builds and operates it above the operator vendor stack.
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 does Completions commit to on a Tier 3 engagement?
Completions commits to a 5-workstream pre-engagement-baseline reporting cycle on the walk-in-phone-attribution agent: (1) Foot-Traffic-Integration workstream — pre-engagement baseline of which mobility vendors are currently integrated, at what cadence, and which markets are covered, then weekly reporting on integration coverage across vendors and markets and per-source data-delivery reliability. (2) MMM-Update workstream — pre-engagement baseline of how the MMM is currently refreshed and at what posterior-confidence discipline, then weekly reporting on MMM-update cadence, observed credibility-interval distribution, and response-curve re-resolution outcomes. (3) Counterfactual-Replay workstream — pre-engagement baseline of what counterfactual machinery the operator has today, then weekly reporting on counterfactual-record volume, observed counterfactual confidence, and attestation persistence. (4) Attribution-Reconcile workstream — pre-engagement baseline of how attribution currently reconciles across digital, walk-in, phone, cross-channel, and unallocated surfaces, then weekly reporting on reconciliation coverage and unallocated-share trajectory. (5) Forecast-Refresh workstream — pre-engagement baseline of how forecasts are produced and conditioned today, then weekly reporting on forecast-refresh cadence and observed predicted-vs-actual on closed cohorts. Caveats: MMM posterior-confidence and counterfactual fidelity depend on the operator-side Bayesian-statistics and experimentation discipline, the quality of operator-supplied control-group definitions, and the cohort maturity available at the time of analysis; foot-traffic mobility vendor data is subject to vendor schema changes and per-jurisdiction mobility-data-residency rules outside Completions and operator control; iOS ATT, third-party cookie deprecation, and platform-level signal-loss continue to limit digital attribution and shape the relative weight foot-traffic carries in the MMM; SEC Reg FD/G, FINRA, SOX, GAAP ASC 606, and IFRS 15 attestation must be operator-counsel- and operator-CFO-approved and re-reviewed when standards change.
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).
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