Introduction

Case Study: Regional Chain Generated 1,000+ Leads Per Month shows precisely how a 42-store network turned a messy marketing footprint into a clean, measurable pipeline. You’ll see the offer architecture, Marketplace + Maps + Email mix, the AI responder that replies in under 20 seconds, CRM routing that respects territories, and the attribution stack that proves revenue.

Guardrails: Central brand standards, approved categories/claims, lightweight overlays, and a clear RACI kept the growth safe and compliant.

1) Executive Summary & Outcomes

2) Background: Starting Point & Challenges

• Fragmented posting across stores; inconsistent branding
• Slow replies to “Is this still available?” and missed leads after hours
• No unified CRM; limited visibility into what actually closed
• Policy flags from heavy text overlays and vague categories

3) Offer Architecture: National • Regional • Store

4) Channel Mix: Marketplace • Maps • Website • Email

5) Creative System: Photos, Videos, Captions (Compliant)

• Photo rules: bright, level, wide; minimal overlays; logo small
• Video: 15–20s stabilized passes; captions with safe CTAs
• Caption blueprint:

  {City} • {Top Feature} • {Availability}
  DM “TOUR” for slots or reply “PRICE” for details.

6) AI Responder: <20s Replies + Handoffs

Hi {FirstName}! We have {Model} in stock at {NearestStore}.
Want directions, a pickup time, or to check sizes? 
Reply 1) Directions 2) Hold Item 3) Talk to a specialist.

Targets: first reply < 20s • handoff < 5m • after-hours coverage 100%

7) SOPs & Playbooks (Posting Windows, Templates)

• Posting windows by time zone; rotate hero images
• Template library: captions, disclaimers, offer cards
• Moderation queue with blocked phrases and auto checks
• Escalation path for complex or sensitive conversations

8) CRM & Routing: Nearest Store Logic + SLAs

• Auto-assign by zip/GPS; respect territories and capacity
• Stages: New → Qualified → Appointment/Visit → Sale → Nurture
• SLAs: first human touch < 5m; appointment confirmation same-day
• No-show rescue flows and win-back sequences

9) Local Landing Pages & Inventory Sync

• City + neighborhood modules; store-specific CTAs above the fold
• Dynamic “in-stock/nearby” block with schema
• Click-to-call, directions, and appointment widget
• UTM examples: utm_source=marketplace&utm_medium=organic&utm_campaign=store_{id}

10) Attribution & Dashboards (Store Visits, POS)

• Store-visit conversions, directions, call tracking
• Promo codes per store; POS matchback
• Regional/QBR dashboards: CPL, show rate, close rate, AOV

11) Results by Region & By Channel

12) Economics: CPL, Labor, Tooling, Margin

• Organic Marketplace minimized media costs; labor shifted to closing
• Tooling: posting automation, AI chat, call tracking, CRM
• Promo governance protected margin while maintaining urgency

13) 30–60–90 Day Rollout Plan

Days 1–30 (Foundation)

1. Publish RACI + guardrails; clean GBP data
2. Launch template library (photos, captions, disclaimers)
3. Turn on AI responders; set SLA monitors

Days 31–60 (Momentum)

1. Local LPs live; inventory sync daily
2. Cluster tests: hero image, aspect ratio, CTAs
3. Email re-engagement and back-in-stock nudges

Days 61–90 (Scale)

1. Roll winning playbooks to all stores
2. Automate review requests and NPS
3. Quarterly business reviews by region

14) Risk, Compliance, and Policy Flags

• Avoid restricted claims; keep overlays minimal and legible
• Use approved categories; keep licenses and disclosures current
• Moderation queue + auto checks before publishing

15) Troubleshooting & Optimization