This is a published industry example, not a GoCredible result. The work described here was done by Reputation.com, covering a franchised UK Kia dealer network across 2018 to 2021, and Kia UK is not a GoCredible customer. What follows is a read of a public case study, not a claim about anything GoCredible has built.
The published figures are simple: average rating moved from about 4.2 to about 4.6, and response rate reached roughly 75% across the network. The rating is the number that gets quoted. The response rate is the one worth studying, because it moved first, and it is the one a franchised network had no obvious way to force.
Why a franchise cannot just be told to reply
A company-owned chain can mandate a response standard the way it mandates a dress code. Head office writes the rule, a manager enforces it, and non-compliance has consequences inside one employment relationship. A franchised network does not have that lever. Each dealership is a separate business with its own owner, staff and priorities, and a head office that can advise but rarely instruct.
That gap between influence and enforcement is the real problem a franchise reputation programme has to solve. Persuasion has to arrive as convenience, not policy. If replying is slower or more awkward than not replying, a busy dealer principal will not reply, whatever the head office newsletter says.
What a franchise-appropriate workflow removes, not adds
The mechanism a case study like this one describes is not a new incentive. It is friction removed from an existing one. Three things tend to matter, regardless of the vendor behind them: one place to see every location's reviews rather than dozens of separate logins; a drafted response a dealer can approve in under a minute rather than compose from scratch; and per-dealer reporting where a location's rating and response rate sit next to its neighbours', not in isolation.
That last piece does quiet work. A dealer principal who sees their own number next to the network average, or the dealership two towns over, does not need to be told to improve. The comparison does that on its own, the way a leaderboard does inside any sales team, applied to something head office cannot otherwise instruct.
Why response rate moves first and rating moves later
Response rate is inside one dealer's control the moment they decide to act on it. Rating is not. A reply posted today does not move a star average today. It changes how the next hundred visitors read the reviews already sitting there, and whether an unhappy customer who feels heard comes back and leaves a better one next time. That is a slow, compounding effect, not an instant one.
Three years is the honest timescale for that reason. A network large enough to matter carries years of unanswered reviews in its record, and a new response habit only touches the reviews written after it starts; the old ones age out of visibility at their own pace, not on command. Anyone promising a rating shift in weeks is describing a different, less durable change.
What a multi-location operator should take from this
The transferable lesson is not the number. It is the order of operations: fix visibility first, then fix effort, then fix accountability. Rating follows those three. It is not a lever on its own.
- Put every location's reviews in one shared view before asking anyone to respond faster.
- Make the default action "approve a draft," not "write a reply," once volume passes a few reviews a week per location.
- Report response rate and rating per location, visible to the people who own each one, not only to head office.
- Judge the programme over a year or more; a response habit changes the future record, not the past one.
This is the kind of workflow GoCredible is built around: one inbox across locations, drafted replies waiting on human approval, and per-location reporting that makes the comparison visible without anyone asking for it. GoCredible is early-stage with no customers of its own yet, so it has no result like this to point to. The mechanism above is what the published case study demonstrates, independent of which tool runs it.