Casual Dining, 3 Locations

Recovering High-Intent Lunch Revenue

Duration

6 Months

Situation

Losing High-Intent Lunch Revenue Inside a 1.5 Mile Radius

Economics

Average Ticket: £27
Conversion: Walk-ins & Same-day bookings

Immediate Proof Snapshot

Month 0 to Month 6 Tracking

Walk-In Revenue

+0%

£68.4k to £103.9k

Google Maps Calls

+0%

312 to 571

Direction Requests

+0%

487 to 833

Website Clicks

+0%

398 to 742

Average Rating

0.0

Up from 3.9

Measured via GBP Insights, POS reports, and reservation logs.

The Claim

We increased Google Maps call actions by 83% and direction requests by 71% within 6 months by engineering local visibility dominance in a 1.5 mile radius.

Diagnostic

The Local Loss

Urban Table was not losing to better food. They were losing to whoever Google Maps chose.

Within 1.5 miles:

Competitors appeared in the Local Pack for "lunch near me"
Direction requests favored chains with stronger review signals
Peak-hour traffic converted elsewhere before Urban Table was seen

Phase 01

Baseline Reality

Three major competitors:

Held 4.3+ ratings
Posted consistently updated photos
Responded to reviews within 24 hours
Occupied Local Pack 2 out of 3 top slots for high-intent keywords

Urban Table:

Had inconsistent review responses
No structured photo refresh
No review velocity strategy
Weak presence in "near me" lunchtime searches

Phase 02

Constraint

Local Pack is competitive and proximity-weighted. You cannot buy permanent top placement.

Chains had:

Centralized review management
Higher photo engagement
Stronger branded search

Core Strategy

The Leverage Insight

Google Maps does not reward "good restaurants". It rewards structured signals:

Review velocity
Response consistency
Photo engagement
Local relevance
Query matching
Behavioral actions

Local visibility is a system of signals.

If you engineer the signals, you influence the ranking.

Execution

Intervention Moves

Conducted query mapping for top 30 local intent phrases
Rebuilt Google Business Profile descriptions with intent-matched keywords
Structured weekly review request protocol for dine-in customers
Implemented 24 hour response discipline for all reviews
Introduced monthly photo refresh cadence tied to seasonal menu updates
Removed duplicate citations and corrected inconsistent NAP data
Created geo-optimized landing page for each location
Implemented peak-hour micro-campaign promoting lunch booking CTA

Proof Set

Local Pack Appearance ("lunch near me")

Outside Top 5 → Top 3

Consistently achieved during peak hours

Maps Action Rate

4.2% → 7.8%

Review Velocity

12/mo → 39/mo

Average Rating

3.9 → 4.4

Lunch Window Revenue

£68.4k → £103.9k

Economics Translation

Incremental monthly revenue increase: £35,550

Gross margin assumption: 62%

Estimated Incremental Gross Contribution Per Month:

£22,041

Assumptions: Average lunch ticket: £27 Average covers per booking: 2.1

Measurement

Control & Tracking

Weekly dashboard monitored:

Calls from Maps

Direction requests

Local Pack position

Review velocity

Response time

Lunch revenue by time block

Growth Trajectory

Next 90 Days

Expand geo footprint from 1.5-mile to 3-mile coverage
Introduce event-driven review capture for group bookings
Increase Maps action rate above 9%
Drive rating to 4.6
Stabilize Top 2 Local Pack presence

If Maps is choosing your competitor, revenue is leaving before customers even see you.

We show you exactly where visibility is leaking, how many calls you are losing inside your radius, and how to take control of it.