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[ 04 / SERVICE 04 ]

Reputation Management and Review Automation.

Specialist Service

Consistent 5-star review velocity on Google, automated so no job finishes without a review request. Plus the reactivation half: past-customer sequences, referrals, seasonal promotions, and win-back messaging that turn the database you already have into booked work.

“Quick response, fair price, professional driver. Best dumpster rental we’ve used.”

, Mike R., Verified Customer · 2 days ago

[02/What It Is]

One system that compounds your review profile and revives revenue inside your database.

✻ A short brief on what this service actually is, for operators who’ve been pitched it generically before.

A sanitation operator's two most underused assets are usually the same two: the review profile that should be driving map-pack rankings, and the customer list that already booked once and could book again. Most operators ask for reviews when they remember and never run a reactivation campaign at all. The result is a thin review profile that loses to thicker competitors, and a database quietly worth tens of thousands of dollars in repeat work that nobody is collecting.

Reputation Management and Review Automation is one operating system that addresses both. The review half is automated requests timed to job completion, with smart routing for negative feedback and a testimonial capture workflow that turns satisfied jobs into reusable proof. The reactivation half is segmented sequences across the existing customer database — past-customer reactivation by last-service date and service type, seasonal promotions tied to the service category, referral request sequences after satisfied jobs, and quiet win-back messaging for customers who have gone silent.

Both halves run in the background on a weekly cadence, with monthly reporting on review velocity, star-rating trend, reactivated customer count, repeat booking rate, and referral lead count. Built once, operated continuously, measured monthly.

[03/What's Included]

Everything in the build.

The catalog of work — each item is part of the engagement, not an add-on.

Build sheet08 items
  • /01

    Automated Review Request System

    Post-job SMS and email triggers sent through a marketing automation platform in the operator's voice, timed to the moment the customer experience is freshest. Every job gets a request — automatically, without the operator remembering to send one.

  • /02

    Review Velocity Ranking Lift

    Review cadence coordinated with Google Business Profile signals — posts, photos, Q&A — so the local ranking signal compounds. Velocity, recency, and keyword density move together, not in isolation.

  • /03

    GMB Review Response Templates

    Response templates for common review types: five-star acknowledgments, detailed positive reviews, and negative reviews that require owner handling. The focus here is the request-and-response automation layer; broader GBP profile management and post cadence belongs to the GMB service.

  • /04

    Testimonial Capture Workflow

    A short, owner-friendly sequence that captures the text quote, a job-site photo, and the customer's permission to publish — all in one pass. Turns satisfied jobs into reusable proof across the site, in ads, and on social.

  • /05

    Past-Customer Reactivation Campaigns

    Segmented reactivation of the existing customer database by last-service date and service type. Customers who are due for a refill, a repeat rental, or an annual service get a timely, relevant outreach — not a generic blast. This is the reactivation engine that converts the database back into booked work.

  • /06

    Seasonal Promotion Sequences

    Timed offers matched to the customer's prior service category: annual septic pump-out reminders, spring-cleanup dumpster promotions, event-season restroom trailer outreach. Right offer, right segment, right month — built once, running every year.

  • /07

    Referral Request Sequences

    Post-service referral asks routed to satisfied customers, tracked end-to-end, and connected to a referral credit program if the operator runs one. Referral revenue stops being random and starts being scheduled.

  • /08

    Win-Back Messaging and Monthly Review Report

    Quiet, respectful win-back sequences for customers who have gone silent — clear stop conditions, sensible frequency caps, no pressure. Paired with a monthly report on review count growth, star-rating trend, reactivated customer count, repeat booking rate, and referral lead count.

[04/Why It Matters]

Reviews compound rankings. Reactivation compounds revenue. Together they compound each other.

Review velocity is one of the top three local ranking signals for service businesses. An operator gaining 8–15 honest reviews a month at 4.7 stars will pull ahead of a competitor sitting on 50 reviews from two years ago — because what Google reads is the trend, not the snapshot. That is the review half of the system: an automated cadence that runs after every job, without the operator having to remember.

The reactivation half runs on different arithmetic but lands on the same balance sheet. Acquiring a brand-new sanitation customer through paid channels typically costs $80–$150 per booked job. Reactivating a past customer who already knows the operator and already trusts the work costs roughly 10% of that. The customer database every operator already owns is the highest-ROI list they will ever have — but only if there is a system reaching it on a cadence with the right offer at the right time. Seasonal promotions tied to the service category, referral asks timed to satisfied jobs, and win-back sequences for customers who have gone quiet: all of it running in the background, all of it measured monthly.

One platform, one data layer, one reporting cadence for both the review acquisition and the reactivation work. Splitting them across separate tools and separate workflows is how operators end up with neither working.

[05/What Changes]

What clients see when reviews and reactivation run on a cadence.

  • /01

    Review count growth

    Month-over-month new reviews building a compounding profile that competitors cannot match by sprinting every six months.

  • /02

    Average star rating sustained 4.6+

    Consistent review velocity from a steady operating cadence, not periodic push campaigns that spike and fade.

  • /03

    Reactivated customer count

    Past customers who re-booked through a reactivation, seasonal, or win-back sequence — revenue already inside the database, recovered at a fraction of new-customer acquisition cost.

  • /04

    Repeat booking rate

    Percentage of last-twelve-month customers who booked again — the truest measure of how well the database is being worked.

  • /05

    Referral lead count

    Leads attributable to existing-customer referral sequences, tracked from the initial ask through to booked work.

[06/How We Build It]

Built once, operated weekly, measured monthly.

  1. /01

    Audit..

    We map the current review profile — count, recency, sentiment, response gaps — assess past-customer list health for segmentability, and document any reactivation activity currently running (usually none). You get a written baseline and the first measurable targets for both the review and reactivation halves.

  2. /02

    System Build..

    Automated review request setup, segmented past-customer list build, sequence templates across all five campaign types (reactivation, seasonal, referral, win-back, review request), CRM integration, and reporting hooks. The infrastructure that runs in the background every week — built once, operated continuously.

  3. /03

    Layer..

    Testimonial capture workflow rollout: photo plus quote plus permission-to-publish in one automated pass. Coordinated GBP cadence added alongside review velocity for compounding local ranking lift. Reviews don't sit in isolation — they move with the rest of the local search surface.

  4. /04

    Operate..

    Monthly review of cadence performance: open and click rates, reactivation conversion to booked jobs, opt-out trends, segment rebalancing, sequence refinement. Monthly report on all five outcome metrics. The system gets tighter every month it runs.

[07/Common Questions]

What operators ask about reputation management and review automation.

Pulled directly from real engagement calls. If yours isn’t here, send it with your report request.

Q&A · On record07 entries
  • /01

    How is this different from just asking customers for reviews?

    An ad-hoc ask depends on the operator remembering, at the right moment, after the right job. The system asks every customer automatically, at the right moment, in the operator's voice, with smart routing that surfaces negative feedback privately before it lands as a public review. Operators running the system see consistent month-over-month review growth; operators relying on memory see spikes when they remember and gaps when they don't. The reactivation half adds an entire second revenue stream that ad-hoc asks never touch.

  • /02

    What is the reactivation half — is outreach to past customers allowed?

    Yes. Past customers who have done business with the operator have an existing commercial relationship that permits commercial outreach under CAN-SPAM and TCPA, with proper opt-out handling. Reactivation sequences are segmented by last-service date and service type, frequency-capped to prevent over-contact, and include clear opt-outs on every message. The goal is a relevant, timely offer — not a spray-and-pray blast.

  • /03

    How does this service differ from the GMB / Local Presence Optimization service?

    Overlap is intentional but the scopes are distinct. This service handles the review request automation layer, reactivation and referral campaigns, and response templates. The GMB service handles the broader Google Business Profile management cadence — profile optimization, weekly post scheduling, Q&A management, photo upload program, and service-area monitoring. Both services touch the review profile, but from different angles: this one generates the reviews, the GMB service manages the profile they land on.

  • /04

    How fast do reviews start coming in?

    Most operators see 5–15 new reviews in the first 30 days as recent customers receive the first wave of requests. Months 2 and 3 settle into the recurring cadence — typically 8–20 reviews per month depending on job volume. The reactivation half starts producing measurable repeat bookings by the 60-day mark as the first sequences complete their run.

  • /05

    How does the reactivation system integrate with my existing CRM or job-management software?

    The marketing automation platform connects to the CRM, job-management tool, or invoicing platform you already use — Jobber, Housecall Pro, Service Titan, ServiceM8, QuickBooks, or a flat customer list export. The integration determines how automated the triggers are: native CRM integrations fire automatically on job completion or invoice close; flat-list setups require a periodic data export. Either way, the sequences run on the data you already have.

  • /06

    What happens with negative reviews?

    Smart routing detects dissatisfied sentiment in the post-job follow-up and surfaces it to the operator privately before a public review is solicited — giving the operator a chance to resolve the issue directly. When negative reviews do land publicly, the system flags them for owner action and provides a response template. The system never auto-replies on the operator's behalf. Real responses from a real owner are part of what makes the profile look trustworthy — the system supports that work, it does not fake it.

  • /07

    What is the win-back sequence, and how do you prevent it from feeling spammy?

    Win-back messaging is a short sequence sent to customers who have gone silent for a defined period — typically 12–18 months past their last service date, depending on the service category's natural repurchase cycle. Sequences are quiet: two or three messages maximum, spaced weeks apart, with a clear stop on the first opt-out. The tone is a straightforward check-in, not a promotional push. We would rather skip a marginal reactivation than burn a relationship with a customer who might come back on their own.

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