Local Reputation Engine Offer (10-14 days)
A productized retainer that turns scattered review requests into a monitored, response-managed growth channel across Google, Yelp, and social platforms for local and multi-location clients. It pairs automated collection with a human response layer so agencies can bill for reputation work without the impersonality risk that erodes client trust. Time: 10-14 days.
By InnovaAI ResearchPublished
How do you implement it?
Local Reputation Engine Offer (10-14 days)
A productized retainer that turns scattered review requests into a monitored, response-managed growth channel across Google, Yelp, and social platforms for local and multi-location clients. It pairs automated collection with a human response layer so agencies can bill for reputation work without the impersonality risk that erodes client trust.
- Signed client agreement covering review response tone, escalation contacts, and who owns the review profiles. Read access to the client's Google Business Profile, Yelp, and any social accounts in scope. A confirmed review request trigger point in the client's job completion or purchase workflow. Baseline metrics captured: current star rating, review velocity per month, and response rate. A named client-side approver for responses that touch refunds, safety, or legal claims.
- 1.Inventory every review platform where the client has a live listing and note which are unclaimed
- 2.Pull the last 12 months of reviews into a single sheet with date, rating, and platform
- 3.Document the client's current request process and where it breaks down
- 1.Map the customer journey to identify the highest-intent moment to ask for a review
- 2.Confirm the trigger source (job close, invoice paid, ticket resolved) with the client's ops lead
- 3.Draft the request message in the client's voice for SMS and email
- 1.Configure the chosen platform's review request automation against the confirmed trigger
- 2.Set send timing rules so requests do not land outside business hours
- 3.Build a suppression list for customers with open complaints
- 1.Connect review monitoring across the platforms in scope
- 2.Set alert thresholds for 1 and 2 star reviews so the client hears about them within the hour
- 3.Test the alert path end to end with a staged review
- 1.Write response templates for each rating band, from 5 star to 1 star
- 2.Draft the escalation script for reviews that mention injury, refunds, or legal action
- 3.Review templates with the client approver and capture edits
- 1.Train the client's front desk or account team on the response workflow
- 2.Assign response ownership by rating band and by day of week
- 3.Set the service level target for first response time
- 1.Launch the request automation to a 10 percent sample of eligible customers
- 2.Watch deliverability and open rates for the first 48 hours
- 3.Adjust send windows if the sample underperforms the baseline
- 1.Roll the request automation out to the full eligible customer base
- 2.Begin daily response management on all new reviews
- 3.Log every response with the reviewer's name and the resolution outcome
- 1.Build the review widget or social proof block for the client's site and landing pages
- 2.Place the widget where it sits near a conversion action, not in the footer
- 3.Verify the widget renders on mobile without layout shift
- 1.Compile the first performance report: new reviews, average rating movement, response rate
- 2.Flag recurring complaint themes that point to an operational fix
- 3.Package the theme findings as a separate service recommendation
- 1.Run a 30 minute handover with the client team on the dashboard and alert settings
- 2.Document the escalation tree and the monthly reporting cadence
- 3.Confirm who receives the monthly report and who signs off on scope changes
- 1.Set the retainer scope: review volume cap, response turnaround, and reporting frequency
- 2.Price the reputation repair and local SEO upsell paths against the theme findings
- 3.Schedule the 30 day review call with the client
Agencies can charge setup plus retainer because review volume and star rating move local search visibility and conversion, both of which the client can see in their own booking or call data. The margin holds when the agency keeps a human in the response loop rather than reselling a bare automation seat, since the client is paying for judgment on the reviews that carry risk. Multi-location clients justify higher retainers because the same workflow repeats per location with only the trigger and approver changing.
- Review request automation configured against the client's job completion or purchase trigger
- Response playbook with templates by rating band and an escalation script for high-risk reviews
- Monitoring dashboard with alert thresholds and a documented first-response service level
- Social proof widget embedded on the client's site near a conversion action
- Monthly reputation report covering review velocity, rating trend, response rate, and recurring complaint themes
The client's review request automation is live against a confirmed trigger, every new review receives a logged response within the agreed service level, and the first monthly report has been delivered and reviewed with the client.