Writing ยท Marketing / Copy / Brand
๐๐จ๐จ๐ ๐ฅ๐ ๐๐๐ฅ๐๐ญ๐๐ ๐๐ ๐๐ฎ๐ญ ๐๐ ๐๐ ๐๐ฎ๐ซ ๐๐๐ ๐ข๐ญ๐ข๐ฆ๐๐ญ๐ ๐๐๐ฏ๐ข๐๐ฐ๐ฌ. ๐๐ก๐ข๐ฌ ๐๐๐ฌ๐งโ๐ญ ๐๐๐ง๐๐จ๐ฆ.
We pushed 25 new Google reviews this month.
Google kept 8.
Seventeen disappeared.
No profanity.
No fake accounts we knew of.
No obvious violations.
After digging in, this is almost certainly algorithmic suppression.
Apartments and student housing sit in high-spam categories. When Google detects โcampaign behavior,โ it filters aggressively. Even real reviews get caught.
Hereโs what likely triggered it:
โข Too many reviews in a short window. Spikes look coordinated.
โข Reviews submitted from property WiFi. Identical IP signals.
โข Low-history Gmail accounts with only one review ever.
โข Batch timing and similar structure across posts.
โข Any hint of incentives tied to reviews.
What matters most is not wording.
Itโs footprint and velocity.
This caught me off guard. I knew Google filtered fake reviews. I did not expect this level of aggression on legitimate ones.
So we reset the strategy.
No more review blasts.
Weโre targeting 3โ5 reviews per week. Steady cadence.
We ask one-to-one after real wins:
โข Smooth move-ins
โข Fast service recovery
โข Positive renewal conversations
Residents submit on cellular, not property WiFi.
No written language tying incentives to reviews.
And we respond thoughtfully to every single one. Public engagement builds credibility.
If youโre struggling with filtered reviews in multifamily, youโre not crazy. Itโs happening.
What cadence has actually worked for you without triggering suppression?