Automation
Franchise Review Management: One Dashboard for Every Location
A single 2-star review at one location affects how people perceive every location in the network. Deploy this automation and every incoming review across every location surfaces in one feed, with location-level attribution so you know exactly where to direct attention.
How it works
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New review arrives at any location
Every review at every location tracked and attributed as it posts.
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Instant alert to the location manager
Notification routed to the manager who owns that specific location.
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Underperforming locations flagged
Every location sorted by rating the instant a review lands:
✓ Logged to that location's trend record.
→ Underperforming locations flagged for regional attention.
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Network-wide dashboard
Rating and response rate by location, always current.
Sample survey questions
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Reviews by location
Broken out per franchise location, not just an aggregate
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Location manager routing
Each review routes to the manager who owns that location
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Locations below network average
Flagged for regional attention
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Response rate by location
Compare which locations are keeping up and which are falling behind
Franchise review management has one core tension: the brand is shared, but the operations that generate reviews are distributed. A franchisee who delivers poor service generates a review that damages brand searchability across the whole network. A corporate location that responds thoughtfully to every review cannot compensate for a franchisee two cities over who has not logged into their Google Business profile since the account was created. Deploy FeedbackRobot's franchise review automation and you get visibility at the network level without requiring franchisees to report upward. Every location's incoming reviews surface in a centralised dashboard with location attribution. You can see which locations have response rate gaps, which are trending downward, and which individual reviews need direct escalation. Response templates can be pushed to franchisees so they have the language they need, or responses for underperforming locations can be managed centrally by your ops team. The comparison data becomes a management lever. When a cluster of locations in the same region generates the same complaint category across multiple reviews, that is a signal worth investigating at the regional level. It might be a supplier issue. It might be a training gap. The reviews contain that intelligence whether you read them or not. This automation makes sure you read them, and that someone acts.
Frequently asked questions
Can corporate see all locations while franchisees only see their own?
Yes, permission levels are configurable so franchisees see and manage only their own location's reviews while corporate retains network-wide visibility.
What happens if a franchisee doesn't respond to reviews at all?
Corporate can see the response-rate gap in the aggregate dashboard and choose to intervene, either by managing responses centrally for that location or following up directly with the franchisee.
Can response templates be standardized across the network?
Yes, brand-approved response templates can be pushed to all franchisees so language stays consistent even when individual locations respond themselves.
How does a regional complaint pattern actually get surfaced?
When the same complaint category appears across multiple locations in the same region within a similar window, it's flagged as a pattern worth regional-level investigation, rather than treated as isolated incidents.
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