Writing ยท Marketing / Copy / Brand

2026-02-20
๐†๐จ๐จ๐ ๐ฅ๐ž ๐ƒ๐ž๐ฅ๐ž๐ญ๐ž๐ ๐Ÿ๐Ÿ• ๐Ž๐ฎ๐ญ ๐Ž๐Ÿ ๐Ÿ๐Ÿ“ ๐Ž๐ฎ๐ซ ๐‹๐ž๐ ๐ข๐ญ๐ข๐ฆ๐š๐ญ๐ž ๐‘๐ž๐ฏ๐ข๐ž๐ฐ๐ฌ. ๐“๐ก๐ข๐ฌ ๐–๐š๐ฌ๐งโ€™๐ญ ๐‘๐š๐ง๐๐จ๐ฆ. 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 โ€œcampaign behavior,โ€ it filters aggressively. Even real reviews get caught. Hereโ€™s what likely triggered it: โ€ข Too many reviews in a short window. Spikes look coordinated. โ€ข Reviews submitted from property WiFi. Identical IP signals. โ€ข Low-history Gmail accounts with only one review ever. โ€ข Batch timing and similar structure across posts. โ€ข Any hint of incentives tied to reviews. What matters most is not wording. Itโ€™s 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. Weโ€™re targeting 3โ€“5 reviews per week. Steady cadence. We ask one-to-one after real wins: โ€ข Smooth move-ins โ€ข Fast service recovery โ€ข 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 youโ€™re struggling with filtered reviews in multifamily, youโ€™re not crazy. Itโ€™s happening. What cadence has actually worked for you without triggering suppression?
Marketing / Copy / BrandReal Estate (general)

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