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case study

Filterbuy

Filterbuy: 16x the views in two months

Filterbuy's channels were built on giveaways. That brought followers, but not an audience that wanted to watch anything else. We made more than 200 videos to teach the algorithm who we wanted to reach, tested format after format, and doubled down the moment one worked. Within two months, monthly views went from 101,000 to 1.67 million, and we're only just getting started.

Home GoodsUnited States
16xmonthly views, June to September 2026, across four channels
Two joy-baiting clips in New York: a woman compliments a couple on a park bench, and another compliments an older woman on the street
Client
FilterbuyFilterbuy
Industry
Home Goods
Region
United States
01
the results

the results for Filterbuy.

16xmonthly viewsJun to Sep 2026Source: Metricool, all channels
2.0Mviews since launch20 Jul to 5 Oct 2026Source: Metricool, all channels
~220videos20 Jul to 5 Oct 2026Source: Our posting records
~870Kjoy-baiting viewsAug to Oct 2026Source: Metricool, all channels
  • Monthly views across four channels grew from 101,000 in June to 1.67 million in September, 16 times higher
  • 2 million views since launch in late July 2026, from about 220 videos
  • 68 joy-baiting videos drew about 870,000 views, almost all of it in September
  • The top joy-baiting video reached 292,000 views on TikTok
  • Two months in, the work is going from strength to strength
02
the challenge

the challenge for Filterbuy.

Filterbuy sells air filters to millions of American homes, but almost nobody thinks about their air filter.

Its social accounts had been grown with competitions and giveaways. About 90% of its Instagram followers came from them. Those followers came for prizes, not content, and they ignored every post that wasn't a giveaway.

To reach the audience Filterbuy actually wanted, the algorithm had to be retrained from scratch.

03
the solution

the solution for Filterbuy.

Volume came first. We made about 220 videos in ten weeks and posted them 957 times across TikTok, Instagram, Facebook and YouTube, every four hours, six times a day, to show the algorithm what Filterbuy's content was and who it was for.

We launched Filtered By, a bleep-and-pixelate street interview show shot every week in New York, and kept changing it: new hooks, new questions, new talent, new edits. Every week we kept what worked and dropped what didn't.

We tested six content directions side by side. Joy-baiting won: short clips that make a stranger's day.

When it hit, we doubled down. Joy-baiting drove the September breakout.

the videos

watch the work.

credits

behind the work.

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