Reputation Spark
Automated review requests that know when to ask — and when to hold back to protect your brand.
Happy customers don't review by default. Unhappy ones sometimes do.
The pattern is consistent across service businesses: a satisfied customer finishes a job, means to leave a review, and never gets around to it. The ask needs to come at the right moment, through the right channel, to actually produce a response.
Most review automation tools send the request and leave it at that. Reputation Spark goes further — before sending, it analyses the sentiment of recent communications from that contact. If the tone of recent messages suggests frustration or dissatisfaction, the review request is held. A team member is alerted instead, so the issue can be addressed privately rather than becoming a public complaint.
The result is a growing volume of reviews from satisfied customers, and a reduced risk of reactive negative reviews from customers who had a problem that was never properly resolved.
Reviews that reflect your actual service
A trigger fires — job complete, stage change, or custom event
Reputation Spark activates when a deal moves to "Won" in WinLane, when a job is marked complete, or when any other trigger you've configured fires. The timing is tied to your actual workflow.
Sentiment analysis runs on recent communication
Before the request goes out, the system analyses the tone and content of recent messages from this contact. It's looking for signals that suggest the customer may have had a poor experience.
Positive or neutral sentiment — the request goes out
If no negative signals are detected, an automated review request is sent — on the right platform (Google, Facebook, Trustpilot), at the right time, via the channel the customer has been using.
Negative sentiment detected — the request is held
If recent communications suggest a dissatisfied customer, the review request is suppressed. A team member is alerted so the situation can be addressed privately. Turning a frustrated customer into a satisfied one before asking for a review is far better than the alternative.
Reviews affect decisions before the first conversation
The majority of people check reviews before contacting a local service business. Not occasionally — routinely. A business with 12 reviews and a 3.8 star average loses enquiries to a competitor with 80 reviews and a 4.7, regardless of which business actually does better work.
Building review volume requires consistency. A review request sent once, manually, after particularly good jobs produces a handful of reviews. An automated system that asks every satisfied customer produces a steady stream.
The sentiment check is what separates Reputation Spark from basic review request tools. Sending a review request to the wrong customer at the wrong moment doesn't just fail to produce a review — it can produce a public complaint from someone who already felt ignored.
Review volume compounds over time
Consistent automated requests build a review profile that would take years to accumulate manually. The gap between you and a competitor grows in your favour month by month.
The sentiment check protects the brand
Suppressing a review request when negative sentiment is detected and alerting a team member gives you a chance to fix the problem privately before it appears publicly.
Timing is automatic
The request goes out at the right moment in the customer journey — not when someone remembered to send it, and not so late that the customer has already forgotten the experience.
What's included
Requests sent automatically based on job completion, pipeline stage change, or a custom trigger.
Recent communication is analysed for negative signals before any review request is sent.
Google, Facebook, Trustpilot, and others — requests directed to the platform most relevant to your business.
If negative sentiment is detected, the review request is suppressed and a team member is alerted to handle it privately.
Moving a deal to "Won" in WinLane can trigger Reputation Spark automatically — no separate step required.
Reputation Spark is part of the Core5 Foundation package — no add-on required.
Build your review profile without the manual effort
Book a discovery call and we'll talk through how Reputation Spark would fit into your current workflow and which review platforms matter most for your business.
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