Tier 2 Setup Sprint · P172
Walk-In + Phone Offline-to-Marketing Attribution
Attribute walk-in and phone customers back to marketing source across every location. Identity stitching across phone tracking, POS, and ad platforms unlocks the channel mix data your CFO has been asking for. Productized swarm — not enterprise MMM vendor lock-in.
- Price
- $35,000–$60,000
- Timeline
- 8 weeks
- Ownership
- You own all artifacts
01 · The problem
Why walk-in + phone offline-to-marketing attribution exists.
Your CFO asks for marketing ROI quarterly. You cannot defend it because 70-80% of conversions in your operation happen offline — walk-ins, phone calls, in-store consultations — and your attribution stack only sees the online half. CallRail and Invoca track which marketing source drove the call. Neither stitches the call to the POS transaction that closed. Marketing-mix modeling vendors charge $50k+ for aggregate quarterly snapshots and never deliver per-location granularity. iOS 14.5 + cookie deprecation are degrading the online attribution you DO have. You are running larger paid budgets each quarter on increasingly degraded signal.
02 · Desired result
What success looks like.
Per-location channel attribution with confidence intervals. CFO-defensible ROI numbers per location per channel per month. Walk-in customers traced back to the impression that drove them. Phone calls stitched to POS transactions. The 70-80% of revenue your attribution stack currently treats as a black box becomes visible — at per-location grain, with honest uncertainty bands rather than false-precision lift claims.
03 · How we get there
The 5-step approach.
- 1
Integrate POS + call-tracking + ad-platform + CRM data through cross-domain joining (primitive 9)
- 2
Deploy identity-stitching layer combining deterministic matches with privacy-safe probabilistic models
- 3
Build walk-in attribution model from geo-fenced impressions + POS timing + receipt redemption codes
- 4
Generate per-location channel-attribution dashboard with confidence intervals
- 5
Produce CFO-facing weekly + monthly executive narratives explaining the attribution outputs
Video in production
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04 · Two paths
Two ways to deploy walk-in + phone offline-to-marketing attribution.
Both paths reach the same outcome. The DIY guide walks through the implementation step-by-step at zero cost; the productized engagement ships in the stated timeline at fixed pricing with full ownership transfer at the end.
DIY
Follow the guide yourself
The DIY walkthrough for walk-in + phone offline-to-marketing attribution is coming soon. In the meantime, the productized engagement gets you to the same outcome faster.
- Effort
- Yours
- Time
- Self-paced
- Cost
- Free
Productized service
Have us deploy it for you
We build and deploy walk-in + phone offline-to-marketing attribution across your operation. Fixed timeline, fixed pricing. You own every artifact — code, prompts, configs, training — at the end.
- Effort
- Ours
- Time
- 8 wk
- Cost
- $35,000–$60,000
05 · Who buys this
When this engagement fits.
Multi-location franchise or retail brand where most conversions happen offline (home services, fitness, beauty, restaurant, automotive, dental). CFO asks for marketing ROI; you cannot defend any line item because offline revenue does not tie back to ad spend. CallRail or Invoca handles phone; you have no way to bridge calls to POS transactions, and walk-ins are a black box. Currently doing aggregate spend analysis or stalled marketing budget decisions.
06 · Where vendors fall short
Status-quo tooling gap.
CallRail and Invoca cover phone attribution only — no POS stitching, no walk-in attribution. LeadsRx and Tealium handle online attribution but stop at the door. Marketing-mix-modeling vendors (Marketing Evolution, Nielsen) charge $50k+ for enterprise scope at aggregate granularity — never per-location. No vendor productizes per-location multi-channel offline attribution at multi-loc franchise SMB price points. Genuine whitespace.
07 · The AI capability we add
What the AI swarm does that vendors do not.
- Identity stitching across phone-tracking IDs, CRM records, POS transactions, and ad-platform impressions
- Probabilistic attribution when deterministic stitching is impossible (privacy-safe, modeled confidence interval)
- Walk-in attribution via geo-fenced impression matching + POS timing + survey + receipt redemption codes
- Per-location channel-to-conversion-mode mapping (which channels drive walk-ins vs phone vs online vs in-app)
- Confidence scoring on every attribution decision so the CFO sees uncertainty bands, not false-precision lift claims
08 · What we deliver
Engagement scope — 8 weeks.
- Cross-domain data integration consuming primitive 9 — POS + call-tracking + CRM + ad platforms + GBP unified per location
- Per-location identity-stitching engine with deterministic + probabilistic layers
- Walk-in attribution model (geo-fenced + timing + survey signal fusion)
- Per-location channel-attribution dashboard with confidence intervals
- CFO-facing executive narrative (weekly + monthly) generated from attribution outputs
- 30-day operating tail with weekly tuning + drift detection
What's included
- CallRail / Invoca / phone-tracking platform integration (1-2 vendors)
- POS integration (Toast, Square, Lightspeed, NCR, or custom)
- Ad platform integration (Google Ads + Meta + 1-2 others)
- PostHog telemetry per attribution decision
- CFO + CMO training sessions (3 × 60 min)
- Audit trail for every attribution decision (regulatory-grade)
What's not included
- POS replacement or vendor procurement
- Net-new ad-spend campaigns (this is measurement, not media buying)
- Privacy-policy / consent-management implementation (we work with what your legal team has)
09 · Common questions
Frequently asked.
- How does this differ from CallRail or Invoca?
- CallRail and Invoca attribute phone calls to marketing source. Neither stitches calls to POS transactions or walks-ins. We sit on top of the call-tracking layer and complete the loop — phone call → CRM record → POS transaction → revenue. Walk-ins are an entirely separate model (geo-fence + timing + redemption signals) that no call-tracking vendor offers.
- What about Marketing Mix Modeling vendors?
- MMM vendors deliver aggregate-level attribution — total brand spend vs total revenue, top-down. They do not deliver per-location granularity, and they cost $50k+ as an enterprise lift. We deliver per-location attribution at one-time productized cost, with the swarm running ongoing rather than quarterly MMM refreshes.
- Do we own the swarm + data after the engagement?
- Yes. Every artifact — code, prompts, configurations, integration credentials, attribution model, dashboards — transfers to your operation. The 30-day operating tail covers handoff training. After that, your team operates the swarm; we are available for re-engagement on a Tier 3 Fractional CMO basis if you want ongoing optimization.
- How long until attribution is reliable?
- Initial deployment runs in 6-12 weeks depending on POS + call-tracking vendor complexity. Attribution outputs stabilize after 30-60 days of historical data backfill. Walk-in attribution requires 60-90 days of seasonal data for confidence-interval calibration. CFO-facing confidence-band narratives are honest about this calibration period.
- What about iOS 14.5 and privacy changes?
- The model is privacy-safe by design — first-party data + modeled conversions + confidence intervals. iOS 14.5 + cookie deprecation degrade pure online attribution; the offline-to-marketing layer is largely unaffected because it bridges signals that exist regardless of browser-tracking changes.
Ready to deploy walk-in + phone offline-to-marketing attribution?
$35,000–$60,000 · 8 weeks · you own every artifact.