For per-corporate-marketing + per-revenue-operations + per-MMM team

A 110-location operator runs per-Placer.ai + per- SafeGraph + per-Near + per-Foursquare + per-Cuebiq + per-Veraset across per-portfolio. Per-visit per- prospect identity un-resolved per-cross-platform. Per- marketing-channel attribution to walk-in conversion = unknown. Per-MMM walk-in-channel share incomplete.

Placer.ai, SafeGraph, Near, Foursquare, Cuebiq, Veraset, Unacast, Reveal Mobile, Spectus ship per- platform location-intelligence + foot-traffic-data. AppsFlyer + Adelphic + Foursquare-attribution ship per- DSP foot-traffic-attribution. Northbeam, Recast, Funnel.io, Adverity, Supermetrics, MeasureMatch ship per-MMM platforms. The per-portfolio cross-platform foot-traffic ingestion + per-visit per-prospect identity-resolution + per-visit per-marketing-channel attribution + per-portfolio aggregate Conversions- API upload + per-MMM feed at multi-location-operator scale is operator-side architecture.

By Jay ChristopherMay 30, 202611 min read

What this gets you

Per-portfolio cross-platform foot-traffic ingestion. Per-Placer.ai + per-SafeGraph + per-Near + per- Foursquare + per-Cuebiq + per-Veraset + per- Unacast + per-Reveal-Mobile + per-Spectus per-API per-portfolio canonical schema normalization + per-cross-vendor-conflict resolution per-priority- weighting.
Per-visit per-prospect identity-resolution. Per-visit per-visitor-device-ID + per-residence- origin + per-cross-visit-pattern + per-cross- platform per-canonical-prospect-identity routes to per-portfolio canonical identity-resolution.
Per-visit per-marketing-channel attribution. Per-visit per-pre-visit-touchpoint-array per-7/30/ 90-day-pre-visit per-attribution-model (last-touch / first-touch / linear / time-decay / data-driven) per-visit-conversion-credit.
Per-portfolio aggregate Conversions-API upload. Per-Google-Ads + per-Meta-Ads + per-TikTok + per- Performance-Max + per-Bing-Shopping per-foot- traffic-conversion API aggregate per-portfolio per- vendor-cross-source per-Smart-Bidding signal- complete.
Per-portfolio per-MMM feed (sibling). Per-MMM model per-foot-traffic-channel-attribution share per-portfolio complete (cross-link to /marketing-mix-modeling).
Wired into 5-skill Fan-in pipeline on offline- attribution-intelligence. 3 parallel Inputs (POS-receipt-integration + call- tracking-integration + foot-traffic-integration — this skill; cross-link to /call-analytics + /pos-integration) → 1 Process (marketing-mix-modeling) → 1 Output (rollup-reporting).
Per-vertical-compliance per-visitor-privacy audit trail. Per-visit per-state-AG (per-California-CCPA + per- Virginia-VCDPA + per-Colorado-CPA + per-Connecticut- CTDPA + per-Utah-UCPA + per-Texas-TDPSA) per- visitor-privacy + per-consent audit trail per- portfolio per-visit.

Per-Google-Ads Smart-Bidding per-foot-traffic- conversion-signal per-vendor-siloed per-Smart-Bidding incomplete. Per-portfolio per-paid-spend per-foot- traffic-attribution per-quarter sub-optimal. Per-MMM walk-in-channel share incomplete.

A 110-location multi-vertical operator (per-Retail + per-Restaurant + per-Fitness + per-Wellness across per-state) runs per-portfolio per-Placer.ai per- foot-traffic + per-SafeGraph per-foot-traffic + per- Near per-foot-traffic + per-Foursquare per-foot- traffic + per-Cuebiq per-foot-traffic + per-Veraset per-mobility per-platform per-portfolio.

Per-portfolio per-Placer.ai per-quarter per-location per-walk-in count + per-trade-area-share per- portfolio. Per-portfolio per-SafeGraph per-quarter per-location per-visit-volume + per-visitor- demographic per-portfolio. Per-portfolio per-Near per-quarter per-location per-walk-in + per-residence- origin per-portfolio. Per-portfolio per-Foursquare per-quarter per-location per-visit + per-visit- attribution per-platform.

Per-portfolio per-vendor-siloed per-dashboard per- portfolio per-quarter per-corporate-marketing- analyst rollup per-week 15-25 hours per-quarter per- portfolio. Per-portfolio per-visit per-prospect per- cross-platform identity-resolution per-vendor- siloed un-resolved.

Per-portfolio per-visit per-marketing-channel attribution per-vendor-siloed missing per-portfolio. Per-portfolio per-visit per-marketing-channel per- walk-in conversion-attribution un-rolled-up. Per- portfolio per-MMM (sibling marketing-mix-modeling skill) per-foot-traffic-attribution-input per- vendor-siloed incomplete per-portfolio per-MMM.

Per-portfolio per-Google-Ads + per-Meta-Ads + per- TikTok + per-Performance-Max per-foot-traffic- conversion-upload per-vendor-only per-Foursquare- only + per-Cuebiq-only + per-Placer.ai-only per- platform-API per-vendor-siloed aggregation. Per- portfolio per-Google-Ads Smart-Bidding per-foot- traffic-conversion-signal per-vendor-siloed per- Smart-Bidding incomplete per-portfolio per-quarter.

Per-portfolio per-paid-spend per-foot-traffic- attribution per-quarter sub-optimal per-portfolio per-aggregate-conversion-incomplete signal. Per- portfolio per-corporate-marketing per-quarter per- channel-budget-vs-actual-foot-traffic-revenue alignment sub-baseline. Per-portfolio per-paid- channel-mix decision per-portfolio per-foot-traffic- attributed-revenue per-vendor-siloed-attribution miss-allocates per-portfolio.

Per-portfolio per-corporate-marketing-analyst per- quarter per-vendor-rollup-spreadsheet error-prone + per-corporate-analyst capacity caps per-portfolio per-quarter. Per-portfolio per-vertical-compliance per-visitor-privacy per-California-CCPA + per- Virginia-VCDPA + per-Colorado-CPA + per-Connecticut- CTDPA + per-Utah-UCPA + per-Texas-TDPSA per- visitor-consent audit-trail per-vendor-siloed incomplete per-portfolio.

Cross-platform foot-traffic ingestion + per-marketing- channel attribution at AI-runtime closes the gap. Per-portfolio cross-platform foot-traffic ingestion + per-visit per-prospect identity-resolution + per- visit per-marketing-channel attribution + per- portfolio aggregate Conversions-API upload + per- MMM feed + per-vertical-compliance audit + per- franchisee dashboard. Per-portfolio per-Smart- Bidding per-foot-traffic-conversion-signal complete. Per-portfolio per-MMM walk-in-channel-attribution complete. Per-portfolio per-corporate-marketing per- channel-budget-vs-actual-foot-traffic alignment improves.

What is in market — and what each category leaves to you

Per-platform location-intelligence + foot-traffic- data + per-DSP foot-traffic-attribution + per-MMM- platform primitives are mature. The per-portfolio cross-platform foot-traffic ingestion + per-visit per-prospect identity-resolution + per-visit per- marketing-channel attribution + per-portfolio aggregate Conversions-API upload + per-MMM feed + per-portfolio canonical per-location attribution- rollup + per-vertical-compliance audit trail at multi-location-operator scale is operator-side architecture.

Per-platform location-intelligence + foot-traffic- data — Placer.ai, SafeGraph, Near, Foursquare, Cuebiq, Veraset, Unacast, Reveal Mobile, Spectus

Excellent at per-platform per-foot-traffic + per- mobility + per-visit-data + per-trade-area + per- visitor-demographic + per-visitor-residence-origin + per-cross-visit-pattern + per-co-visit analysis. The per-portfolio cross-platform foot-traffic ingestion + per-visit per-prospect identity- resolution + per-visit per-marketing-channel attribution + per-portfolio aggregate Conversions- API upload + per-MMM feed at multi-location- operator scale are operator-side architecture above the per-platform foot-traffic primitive.

Per-DSP foot-traffic-attribution — AppsFlyer visit-attribution, Adelphic, Foursquare- attribution, Verizon Media DSP foot-traffic- attribution

Strong at per-platform per-visit-attribution + per- DSP-foot-traffic-conversion-upload + per-DSP- campaign per-walk-in measurement. The per-portfolio cross-platform foot-traffic ingestion + per-visit per-marketing-channel attribution (per-cross-DSP) + per-portfolio aggregate Conversions-API upload + per-MMM feed sit above the per-DSP foot-traffic- attribution primitive.

Per-MMM-platforms — Northbeam, Recast, Funnel.io, Adverity, Supermetrics, MeasureMatch

Strong at per-MMM-platform per-marketing-channel + per-attribution-model + per-budget-optimization + per-incrementality + per-causal-inference + per- saturation-modeling. The per-portfolio cross- platform foot-traffic ingestion + per-visit per- marketing-channel attribution + per-portfolio per- foot-traffic-channel feed input to per-MMM at multi-location-operator scale sit above the per- MMM-platform primitive.

Per-vendor-siloed dashboard status quo

The status quo at most multi-location operators. Per-Placer.ai + per-SafeGraph + per-Near + per- Foursquare + per-Cuebiq + per-Veraset per-vendor- siloed per-dashboard. Per-corporate-marketing- analyst per-quarter per-week 15-25 hours per- vendor-rollup. Per-visit per-cross-platform identity un-resolved. Per-marketing-channel attribution missing. Per-MMM walk-in-channel incomplete. Per-Google-Ads Smart-Bidding per-foot- traffic-conversion-signal per-vendor-siloed. Per- portfolio per-paid-spend per-foot-traffic- attribution sub-optimal.

The pipeline, end to end

Position on the offline-attribution-intelligence agent. Foot-traffic-integration is the 3rd Input stage of the 5-skill Fan-in pipeline on offline-attribution- intelligence. Sibling Inputs: pos-receipt-integration (cross-link to /pos-integration) + call-tracking-integration (cross-link to /call-analytics). Sibling Process: marketing-mix-modeling. Sibling Output: rollup-reporting.
Per-portfolio per-vendor connector inventory. Per-portfolio per-vendor connector inventory configures per-Placer.ai per-API + per-SafeGraph per-API + per-Near per-API + per-Foursquare per-API + per-Cuebiq per-API + per-Veraset per-API + per- Unacast per-API + per-Reveal-Mobile per-API + per- Spectus per-API per-portfolio-credentials.
Per-vendor per-visit-record + per-webhook ingestion. Per-vendor per-API pulls per-location per-day per- foot-traffic-record (per-location-ID + per-visit-ID + per-visit-timestamp + per-visit-duration + per- visitor-device-ID-hashed + per-visitor-residence- origin + per-visitor-demographic + per-visit-trade- area-source + per-visit-co-visit-pattern + per- source-platform). Per-vendor per-webhook per-visit- event subscription runs per-near-real-time per-visit ingestion.
Per-visit canonical schema normalization. Per-visit normalizes per-portfolio canonical foot- traffic schema (per-canonical-visit-ID + per- location-ID + per-visit-timestamp + per-visit- duration + per-canonical-prospect-identity + per- visit-pre-touchpoint-array + per-visit-marketing- channel-attribution + per-visit-vendor + per-visit- vendor-original-payload + per-visit-trade-area + per-visit-demographic-cohort).
Per-portfolio cross-vendor canonical-schema reconciliation. Per-portfolio cross-vendor canonical-schema reconciliation per-cross-vendor-conflict-resolution (per-Placer.ai highest priority for per-trade-area- share; per-SafeGraph highest priority for per- demographic; per-Near highest priority for per- residence-origin; per-Foursquare highest priority for per-visit-attribution-payload) per-portfolio per- visit.
Per-visit per-prospect identity-resolution handoff. Per-visit per-visitor-device-ID-hashed routes to per-portfolio canonical identity-resolution (sibling identity-resolution-deterministic-probabilistic on customer-data-graph cross-portfolio handoff). Per- visit per-canonical-prospect-identity resolution per- portfolio per-visit.
Per-visit per-pre-visit-touchpoint-array stitching. Per-visit per-pre-visit-touchpoint-array assembly per-cross-channel (per-paid-search + per-organic + per-direct + per-referral + per-email + per-SMS + per-direct-mail + per-OOH + per-Connected-TV + per- DSP-mobile-ad + per-Meta-ad + per-Google-ad). Per- visit per-pre-visit-touchpoint-array per-time-window (per-7-day-pre-visit + per-30-day-pre-visit + per- 90-day-pre-visit) per per-visit.
Per-visit per-marketing-channel attribution per- model. Per-visit per-pre-visit-touchpoint-array per- attribution-model (per-last-touch + per-first-touch + per-linear + per-time-decay + per-data-driven) per-visit-conversion-credit per-marketing-channel.
Per-portfolio aggregate Conversions-API upload. Per-portfolio aggregate per-Google-Ads + per-Meta- Ads + per-TikTok + per-Performance-Max + per-Bing- Shopping per-foot-traffic-conversion-API per- aggregate per-portfolio per-vendor-cross-source per- Smart-Bidding signal-complete.
Per-MMM feed handoff. Per-portfolio per-visit canonical attribution feeds downstream per-MMM model (sibling marketing-mix- modeling skill). Per-MMM per-foot-traffic-channel- attribution share per-portfolio complete.
Per-portfolio canonical per-location attribution- rollup. Per-portfolio per-visit per-location per-marketing- channel attribution per-rollup-reporting (sibling Output stage). Per-franchisee per-location-rollup per-visit per-source-marketing-channel per-portfolio canonical.
Per-vertical-compliance per-visitor-privacy audit trail. Per-visit per-state-AG (per-California-CCPA + per- Virginia-VCDPA + per-Colorado-CPA + per-Connecticut- CTDPA + per-Utah-UCPA + per-Texas-TDPSA) per- visitor-privacy + per-consent audit trail per- portfolio per-visit record per-portfolio.
Cross-Swarm Same-Data Utilization handoff. Per-Placer.ai + per-SafeGraph per-foot-traffic data feeds BOTH offline-attribution-intelligence (per- marketing-channel attribution) AND territory- analysis-market-scoring (per-cannibalization-risk- scoring + per-market-opportunity-analysis; cross- link to /cannibalization-analysis). Same upstream data, 2 downstream agents in 2 different swarms per Cross-Swarm Same-Data Utilization pattern.
ROI measurement. Per-portfolio per-quarter per-visit per-cross- platform-resolution rate. Per-portfolio per-quarter per-visit per-marketing-channel attribution completeness rate. Per-portfolio per-quarter per- Google-Ads + per-Meta-Ads + per-TikTok + per- Performance-Max per-foot-traffic-conversion-upload completeness rate. Per-portfolio per-quarter per- Smart-Bidding per-platform per-CPA + per-ROAS optimization improvement. Per-portfolio per-quarter per-MMM model per-foot-traffic-channel-attribution share completeness. Per-portfolio per-corporate- marketing per-quarter per-channel-budget-vs-actual- foot-traffic-revenue alignment improvement. Per- portfolio per-corporate-marketing-analyst per-quarter per-vendor-rollup hours recovery. Per-portfolio per- quarter per-vertical-compliance per-visitor-privacy + per-state-AG audit-trail completeness. ROI dominated by per-portfolio per-Smart-Bidding optimization lift + per-MMM completeness + per- channel-budget alignment + per-corporate-marketing- analyst hours recovery.

Frequently asked

What is foot traffic analytics?

Foot traffic analytics is the discipline of measuring per-location walk-in visits and tying each visit back to the marketing channels and campaigns that drove the customer through the door. The per-platform location-intelligence + foot-traffic-data market (Placer.ai + SafeGraph + Near + Foursquare + Cuebiq + Veraset + Unacast + Reveal Mobile + Spectus) ships excellent walk-in counts, trade-area-share, visitor demographics, residence-origin, dwell-time, and co-visit-pattern data per location per day. The visit-attribution market (Spectus + Foursquare visit-attribution + Near visit-conversion + AppsFlyer visit-attribution) ships visit-to-conversion mapping. The DSP foot-traffic-attribution market (Adelphic + Foursquare-attribution + Verizon Media DSP) ships per-DSP campaign-to-walk-in attribution. The MMM + attribution-platform market (Northbeam + Recast + Funnel.io + Adverity + Supermetrics + MeasureMatch) ships per-channel attribution models + budget optimization. At a 50-300 location multi-location retail or multi-location service operator the discipline expands into a portfolio architecture problem: cross-vendor schema normalization (Placer.ai takes priority for trade-area-share, SafeGraph for demographics, Near for residence-origin, Foursquare for visit-attribution), per-visit hashed-device identity resolution against the operator customer-data-graph, per-visit pre-visit touchpoint-array stitching across paid-search + organic + direct + referral + email + SMS + direct-mail + OOH + Connected-TV + DSP-mobile + Meta + Google ad surfaces under 7/30/90-day windows, per-attribution-model assignment (last-touch + first-touch + linear + time-decay + data-driven), per-portfolio aggregate Conversions-API upload to Google Ads + Meta + TikTok + Performance Max + Bing Shopping, per-MMM feed handoff, per-portfolio canonical per-location attribution rollup, per-visitor-privacy + per-state-AG audit trail, per-franchisee per-location dashboard. Completions operates this as the foot-traffic-integration skill on the offline-attribution-intelligence agent, 3rd Input stage of the 5-skill Fan-in pipeline paired with pos-receipt-integration + call-tracking-integration + marketing-mix-modeling + rollup-reporting siblings, with cross-swarm same-data utilization against the Territory agent for site-selection and trade-area analysis.

Why does per-platform foot-traffic data break down at per-marketing-channel attribution scale?

A 110-location multi-location retail or multi-vertical operator typically licenses Placer.ai for trade-area-share, SafeGraph for demographic enrichment, Near for residence-origin, Foursquare for visit-attribution, and occasionally Cuebiq or Veraset for mobility supplementation. Each vendor delivers its data into its own dashboard with its own schema. The descriptive industry pattern across seven dimensions. First, the corporate-marketing analyst absorbs 15-25 hours per quarter on per-vendor rollup spreadsheets just to produce a consolidated walk-in view. Second, per-visit identity resolution across vendors is uncovered because the hashed-device IDs differ per vendor; the operator cannot answer "how many of our Phoenix Placer.ai-reported visits are the same people SafeGraph reported as visitors." Third, per-visit pre-visit marketing-channel touchpoint stitching does not exist; the operator knows visits happened but not what marketing surface drove them. Fourth, Google Ads + Meta + TikTok + Performance Max + Bing Shopping receive only the conversion uploads each individual vendor pushes natively — Foursquare-only or Cuebiq-only or Placer.ai-only — so Smart-Bidding sees a partial walk-in signal and bids on incomplete demand. Fifth, paid-spend efficiency drifts quarter over quarter on the aggregate-conversion-incomplete signal. Sixth, marketing-mix-modeling under-attributes the foot-traffic channel because the MMM input is siloed. Seventh, corporate-marketing per-channel-budget-vs-actual-walk-in-revenue alignment runs blind because the actual walk-in conversion attribution lives nowhere. The Placer.ai + SafeGraph + Near + Foursquare + Cuebiq + Veraset + Unacast + Reveal Mobile + Spectus vendors do not ship the missing layer — they correctly deliver their respective primitives. The fix is cross-platform foot-traffic ingestion + canonical schema normalization + per-visit identity resolution + pre-visit touchpoint stitching + per-attribution-model assignment + aggregate Conversions-API upload + MMM feed + canonical attribution rollup as operator-side architecture above the per-platform primitive.

How is this different from Placer.ai, SafeGraph, Near, Foursquare, Cuebiq, Veraset, Unacast, Reveal Mobile, Spectus, AppsFlyer, Northbeam, Recast, Funnel.io, Adverity, Supermetrics, or MeasureMatch?

Those platforms ship per-platform location-intelligence + foot-traffic-data + per-MMM-platform primitives. Placer.ai + SafeGraph + Near + Foursquare + Cuebiq + Veraset + Unacast + Reveal Mobile + Spectus ship per-platform per-foot-traffic + per-mobility + per-visit-data + per-trade-area + per-visitor-demographic + per-visitor-residence-origin. AppsFlyer visit-attribution + Adelphic + Foursquare-attribution + Verizon Media DSP foot-traffic-attribution ship per-platform per-visit-attribution + per-DSP-foot-traffic-conversion-upload. Northbeam + Recast + Funnel.io + Adverity + Supermetrics + MeasureMatch ship per-MMM-platform per-marketing-channel + per-attribution-model + per-budget-optimization. They are excellent at the per-platform location-intelligence + per-platform-MMM primitive. The per-portfolio cross-platform foot-traffic ingestion (per-Placer.ai + per-SafeGraph + per-Near + per-Foursquare + per-Cuebiq + per-Veraset + per-Unacast + per-Reveal-Mobile + per-Spectus per-API per-portfolio canonical schema normalization), the per-visit per-prospect identity-resolution (per-visit per-device-ID + per-residence-origin + per-cross-visit-pattern + per-cross-platform per-canonical-prospect-identity), the per-visit per-marketing-channel attribution (per-visit per-pre-visit-touchpoint-array stitching + per-marketing-channel per-walk-in conversion-attribution), the per-portfolio aggregate Conversions-API upload (per-Google-Ads + per-Meta-Ads + per-TikTok + per-Performance-Max + per-Bing-Shopping per-portfolio aggregate per-vendor-cross-source per-Smart-Bidding signal-complete), the per-portfolio per-MMM feed (sibling marketing-mix-modeling handoff — cross-link to /marketing-mix-modeling), the per-portfolio canonical per-location attribution-rollup (sibling rollup-reporting handoff), the per-vertical-compliance per-visitor-privacy + per-state-AG audit-trail, the wired-into-5-skill offline-attribution-intelligence agent fan-in pipeline + Cross-Swarm Same-Data Utilization with Territory agent (per-Placer.ai/SafeGraph data feeds Site-Selection + Foot-Traffic-Attribution simultaneously) at multi-location-operator scale are operator-side architecture above the per-platform foot-traffic primitive.

How does per-portfolio cross-platform foot-traffic ingestion actually work?

Per-portfolio cross-platform foot-traffic ingestion runs the 3rd Input stage of the offline-attribution-intelligence agent. Per-portfolio per-vendor connector inventory configures per-Placer.ai per-API + per-SafeGraph per-API + per-Near per-API + per-Foursquare per-API + per-Cuebiq per-API + per-Veraset per-API + per-Unacast per-API + per-Reveal-Mobile per-API + per-Spectus per-API per-portfolio-credentials. Per-vendor per-API pulls per-location per-day per-foot-traffic-record (per-location-ID + per-visit-ID + per-visit-timestamp + per-visit-duration + per-visitor-device-ID-hashed + per-visitor-residence-origin + per-visitor-demographic + per-visit-trade-area-source + per-visit-co-visit-pattern + per-source-platform). Per-vendor per-webhook per-visit-event subscription runs per-near-real-time per-visit ingestion. Per-visit normalizes per-portfolio canonical foot-traffic schema (per-canonical-visit-ID + per-location-ID + per-visit-timestamp + per-visit-duration + per-canonical-prospect-identity + per-visit-pre-touchpoint-array + per-visit-marketing-channel-attribution + per-visit-vendor + per-visit-vendor-original-payload + per-visit-trade-area + per-visit-demographic-cohort). Per-portfolio cross-vendor canonical-schema reconciliation per-cross-vendor-conflict-resolution (per-Placer.ai highest priority for per-trade-area-share; per-SafeGraph highest priority for per-demographic; per-Near highest priority for per-residence-origin) per-portfolio.

How does per-visit per-marketing-channel attribution work?

Per-visit per-marketing-channel attribution runs per-visit per-prospect-identity-resolution + per-pre-visit-touchpoint-array stitching. Per-visit per-visitor-device-ID-hashed routes to per-portfolio canonical identity-resolution (sibling identity-resolution-deterministic-probabilistic on customer-data-graph — cross-portfolio handoff). Per-visit per-canonical-prospect-identity per-pre-visit-touchpoint-array assembly per-cross-channel (per-paid-search + per-organic + per-direct + per-referral + per-email + per-SMS + per-direct-mail + per-OOH + per-Connected-TV + per-DSP-mobile-ad + per-Meta-ad + per-Google-ad). Per-visit per-pre-visit-touchpoint-array per-time-window (per-7-day-pre-visit + per-30-day-pre-visit + per-90-day-pre-visit) per-attribution-model (per-last-touch + per-first-touch + per-linear + per-time-decay + per-data-driven). Per-visit per-marketing-channel attribution per-attribution-model per-visit-conversion-credit. Per-portfolio aggregate per-marketing-channel per-visit-conversion per-portfolio per-quarter rollup. Per-portfolio per-marketing-channel per-walk-in-conversion-attribution feeds per-MMM (sibling marketing-mix-modeling) per-portfolio per-channel-budget-optimization. Per-portfolio per-Google-Ads + per-Meta-Ads + per-TikTok + per-Performance-Max + per-Bing-Shopping per-foot-traffic-conversion-API per-aggregate per-portfolio per-Smart-Bidding signal-complete.

How do you measure ROI on cross-platform foot-traffic analytics?

Measured against the operator pre-engagement baseline across nine workstreams. Per-visit cross-platform resolution rate — reported each cycle against the pre-engagement baseline rather than promised at a target percentage; attributed transparently to hashed-device identity resolution + cross-vendor schema normalization + customer-data-graph handoff quality. Per-visit pre-visit marketing-channel attribution completeness rate. Per-platform Conversions-API upload completeness across Google Ads + Meta + TikTok + Performance Max + Bing Shopping. Per-platform Smart-Bidding CPA + ROAS trajectory attributable to the change in foot-traffic conversion-signal completeness — reported as a delta, not promised in advance. Per-MMM foot-traffic-channel attribution share trajectory. Corporate-marketing per-channel-budget-vs-actual-walk-in-revenue alignment trajectory. Corporate-marketing-analyst hours recovered from per-vendor rollup spreadsheets (the 15-25 hours per quarter previously burned). Per-vertical compliance audit-trail completeness across per-visitor-privacy + per-state-AG obligations. Per-franchisee per-location foot-traffic dashboard adoption. Completions reports each weekly against pre-engagement baseline and against the prior week. Outcome targets are not promised — Smart-Bidding lift depends on per-platform algorithm behavior the operator does not control; MMM completeness depends on data-driven attribution model behavior the operator does not control; vendor-side identity resolution quality depends on the underlying hashed-device match rate the vendor delivers. Process commitments are firm: weekly cross-vendor ingestion health check across the 9-vendor surface, weekly canonical schema normalization refresh, weekly identity-resolution sync against the customer-data-graph, weekly Conversions-API upload cycle, weekly MMM feed handoff, weekly franchisee dashboard refresh, weekly audit-trail emission.

Hire the agent that unifies every per-platform foot- traffic stream and joins it to per-marketing-channel spend

The offline-attribution-intelligence agent owns the 5-skill Fan-in pipeline — pos-receipt- integration + call-tracking-integration + foot- traffic-integration (3 parallel Inputs) + marketing- mix-modeling (1 Process) + rollup-reporting (1 Output) — sitting on top of whichever per-platform location-intelligence source (Placer.ai, SafeGraph, Near, Foursquare, Cuebiq, Veraset, Unacast, Reveal Mobile, Spectus), per-DSP foot-traffic-attribution source (AppsFlyer visit-attribution, Adelphic, Foursquare-attribution), or per-MMM-platform source (Northbeam, Recast, Funnel.io, Adverity, Supermetrics, MeasureMatch) you license downstream. Per-portfolio per-vendor connector inventory + per-vendor per-visit- record + per-webhook ingestion + per-visit canonical schema normalization + per-portfolio cross-vendor canonical-schema reconciliation + per-visit per- prospect identity-resolution handoff + per-visit per- pre-visit-touchpoint-array stitching + per-visit per- marketing-channel attribution per-model + per-portfolio aggregate Conversions-API upload + per-MMM feed handoff + per-portfolio canonical per-location attribution-rollup + per-vertical-compliance per- visitor-privacy audit trail + Cross-Swarm Same-Data Utilization handoff + audit trail.

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