Snapchat Shows · An 18-month run

Twenty Snapchat Shows, rebuilt into a network.

Blink Labs had twenty underleveraged Snapchat Shows. Over an 18-month run we rebuilt the content, the formats and the operating rhythm, and turned them into one of Snapchat's highest-output show networks.

Client
Blink Labs
Sector
Snapchat Shows
Services
Channel strategy · Snapchat optimisation · Video & editing · Analytics
Take twenty underleveraged Snapchat Shows and run them as one network, with one operating rhythm, until retention decides which of them deserves the investment.
ClientBlink Labs
Network20 Snapchat Shows
EngagementAn 18-month run in the Shows era
RemitFormats, editing, packaging, analytics, monetisation
MethodA/B testing on every variable, daily refinements
The outcome, in numbers
5,709%
Growth in video views over the 18-month run
11B+
Video views across the twenty-Show network
Watch time per viewer, start to end of the run

The situation

Blink Labs ran twenty Snapchat Shows that were underleveraged: inconsistent formats, soft retention, and monetisation well below their potential. Some shows had found an audience and stalled; others had never been given a clear reason to exist. Episodes went out in different shapes with different pacing, so a viewer who liked one had no habit to build on.

The catalogue had real reach, but no system pulling it in one direction, and no clear answer to the question that decides everything at that scale: which of the twenty deserves the most investment, and on what evidence. In the Shows era, distribution rewarded exactly the things the network lacked, consistent packaging, episodic habit and retention that held past the opening seconds. Twenty shows run twenty different ways could not compound. Twenty shows run as one system could.

What NBK did

We gave each show a clear niche from the audience data, then reworked hooks, visuals and episodic structure around what actually held attention. Openings were cut to the first moment of interest, episode arcs were rebuilt so the next tap felt inevitable, and tiles and titles were treated as the storefront they are.

The whole network ran as a system: daily refinements, A/B testing on every variable, hooks, tiles, episode length, pacing, and a league table of what the data said about each show, so investment followed evidence instead of instinct. After six months of proof, we expanded the team and doubled output without letting the quality bar move.

Across the 18-month run, video views grew 5,709% and the network passed 11 billion views, with watch time per viewer three times where it started. As retention climbed, the commercial return followed: monetisation scaled to record levels for the network, which is the order the whole engagement was built on. Attention first, then the money.

The approach

What we actually did.

  1. A niche per show
    Used audience data to give each of the twenty shows a clear lane, so viewers had a reason to come back.
  2. Rebuilt for retention
    Reworked hooks, pacing and episodic structure around what held attention, then refined it daily.
  3. Let the data pick winners
    A/B tested hooks, tiles and formats across the network, and let results, not opinion, set the investment order.
  4. Doubled output after proof
    Six months in, expanded the team and doubled the publishing rate while holding the quality bar.

Retention first, monetisation follows. We didn't chase the revenue line. We built a system that earned attention, and the commercial return came with it.

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