Using the "We Tried" TikTok Trend as a Restaurant Owner

A 6-table poke bowl restaurant in Kadıköy Moda filmed all 14 bowls in 5-second cuts using the "we tried every bowl" format. The result: 480K views, 320 new Google Maps direction requests in 2 weeks, and a queue at Saturday lunch. The formula is simple, but execution demands consistency.

Why the format works

The "we tried" structure removes decision fatigue for the viewer — they get a pre-sorted, pre-ranked list with a clear favorite. TikTok's algorithm rewards three seconds of held attention, and poke bowls clear that bar instantly with color contrast (green avocado, pink salmon, purple cabbage).

By bundling 14 bowls into one video, the Moda spot pushed its completion rate to 62%. Completion is TikTok's most critical virality signal — it tells the For You algorithm the content is sticky.

The shoot plan

Shoot all bowls before one lunch service, under the same light, same angle, same background. Each bowl gets 6-7 seconds of close-up plus one "money shot" — sauce pour, chopstick lift, sesame sprinkle.

• Phone on tripod plus natural window light
• Bowl fills half the frame (45° angle, not flat-lay)
• Use the trending sound at low volume so chopstick and sauce noises punch through

Converting views to footfall

For views to become direction requests, your profile needs a Google Maps link in the bio, the neighborhood name in the cover ("Moda Caferağa"), and the city name spoken in the first two seconds. Comments will flood with location questions — pin a comment with the address.

To catch the surge on your QR menu, build a "Seen on TikTok" collection that surfaces the exact bowls from the video. Creating a collection in thMenu takes two minutes and keeps the journey from view to order frictionless.

FAQ

How many dishes should I show? 10-15 is the sweet spot. Under 5 feels thin, over 20 cuts per-item time too short.

Best day to post? Monday-Tuesday between 6-9 PM local — highest discovery window for food TikTok in 2027.

Do I need a pro camera? No. Phone is fine. The algorithm does not punish amateur footage; authenticity is rewarded.

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