The brands that compound reputation treat review generation as a closed loop: ask every satisfied customer at the right moment, make saying yes effortless, and route the unhappy ones into recovery instead of onto Google.
See Campaigns & Surveys in action
Run multi-channel review-request and survey campaigns across every location — AI-timed sends, conversational surveys that route detractors to recovery, and compliant flows that never gate reviews.
Why Velocity Beats Average Rating
Local search ranking factors reward signals that prove a business is currently active and currently trusted. A steady stream of recent reviews does exactly that. The practical effects:
- Recency bias. Customers read the most recent three to five reviews before converting. A wall of reviews from two years ago reads as a business in decline, even at a high average.
- Volume as proof. Two hundred reviews at 4.4 is more persuasive than twelve at 4.9. Volume signals that the rating is real, not curated.
- Algorithmic freshness. Consistent new reviews are a health signal that correlates with local-pack visibility.
Velocity doesn't happen by accident. Fewer than 10% of customers leave a review unprompted, and that 10% skews negative because dissatisfied customers are self-motivated. A request campaign flips both numbers.
The Anatomy of a Review-Request Campaign
A request campaign is a triggered, multi-channel ask sent to the right customer at the right moment.
- The trigger is a completed transaction, visit, or service — pulled from your point of sale, scheduling system, or CRM.
- The channel is SMS or email, matched to the customer's preference. SMS request rates dramatically outperform email for response.
- The timing matters more than the copy. Asking a few hours after a service, while the experience is fresh, beats asking days later. AI-optimized send timing learns the window that converts best per location and per service type.
- The path must be frictionless: one tap to the review surface, pre-authenticated where possible, with the platform chosen intelligently so you're not over-concentrating on one site.
The Compliance Line You Cannot Cross
This is where brands get into trouble. Review gating — asking customers how they feel first and only routing the happy ones to public review sites — violates the FTC's guidance and the terms of service of Google and most review platforms. It can get a location's reviews wiped or trigger enforcement.
The compliant model never filters who gets asked to review. Everyone gets the same public request. What you can do — and should — is run a parallel feedback channel that catches dissatisfaction before it becomes a public one-star. That's where conversational surveys come in.
ConvoSurvey: Feedback That Routes, Not Gates
A conversational survey replaces the dead ten-question form with a short, adaptive exchange that feels like a text conversation. It branches on the answers: a delighted customer is invited (not filtered) to share that publicly; a frustrated customer is routed into a recovery workflow — an alert to the location manager, an apology, a chance to make it right — before they reach for Google on their own.
The distinction from gating is critical and legitimate: you are not deciding who may leave a public review. You are giving every customer a private channel to be heard, which naturally reduces the impulse to vent publicly while still inviting everyone to review. Done right, this lifts both your rating and your operational insight.
Surveys as an Operational Instrument
Beyond reviews, conversational surveys are the cheapest operational sensor a multi-location brand has. Aggregated across locations they answer questions no dashboard otherwise can:
- Which locations have a service-consistency problem the reviews haven't surfaced yet?
- Which steps in the customer journey generate the most friction?
- Is a specific shift, team, or process driving detractor sentiment?
Tied back to the location and the touchpoint, survey data becomes a leading indicator — you see the problem in week one instead of in next quarter's rating.
What This Looks Like Across a Portfolio
A multi-location services brand that turns on triggered SMS requests after every completed job, with AI-timed sends and a conversational survey catching detractors, typically sees monthly review counts climb several-fold within a quarter. The compounding part is what matters: more recent reviews lift local-pack visibility, which drives more visits, which feed more requests. The detractor-recovery loop simultaneously pulls would-be one-stars out of the public record and into a service conversation. Rating and volume rise together, and the survey stream tells operations where to look next.
Frequently Asked Questions
Is it legal to ask customers for reviews? Yes — asking every customer for a review is encouraged. What's prohibited is gating: filtering customers by sentiment and only sending the happy ones to public review sites. Send the same public request to everyone, and use a separate private feedback channel to catch and recover dissatisfaction.
SMS or email for review requests? SMS substantially outperforms email on response rate because it's immediate and personal, but the best approach matches the customer's preferred channel and respects opt-in rules. Many brands lead with SMS and fall back to email.
What is a conversational survey? A short, adaptive, text-style survey that branches on each answer instead of presenting a long static form. It dramatically improves completion rates and lets you route delighted customers toward public reviews and dissatisfied customers into a recovery workflow — without gating.
How quickly should a review request be sent after a visit? Usually within a few hours, while the experience is fresh — not days later. AI send-time optimization tunes the exact window per location and service type, but recency is the dominant factor in whether the customer follows through.