{"id":6566,"date":"2026-10-19T11:41:49","date_gmt":"2026-10-19T04:41:49","guid":{"rendered":"https:\/\/adtek.agency\/?post_type=mona_solution&p=6566"},"modified":"2026-10-19T19:40:52","modified_gmt":"2026-10-19T12:40:52","slug":"app-user-acquisition","status":"publish","type":"mona_solution","link":"https:\/\/adtek.agency\/en\/solution\/app-user-acquisition\/","title":{"rendered":"App User Acquisition"},"content":{"rendered":"
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A common problem<\/span><\/p>\n

Plenty of installs, few real users<\/h2>\n

Campaigns optimized for cost per install often bring in people who install and leave: no sign-up, no account verification, no transactions. The reported cost looks low, but the cost of one real user is very high.<\/p>\n

Adtek sets goals around post-install actions from day one and judges every channel with the same set of MMP data.<\/p>\n

Get a consultation<\/a><\/div>\n

\"A<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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How Adtek delivers<\/span><\/p>\n

Four steps from measurement to retention<\/h2>\n

Each step has its own metrics that decide the next one; budget is not scaled before we know which sources bring valuable users.<\/p>\n<\/div>\n

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\"A<\/div>\n
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Measure<\/h3>\n

Set up an MMP (AppsFlyer or Adjust) and in-app events, and agree on the key metric: cost per user who signs up, verifies, tops up or purchases.<\/p>\n<\/div>\n

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Test<\/h3>\n

Run small-budget tests across channels and compare user quality by channel, ad group and creative group.<\/p>\n<\/div>\n

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Scale<\/h3>\n

Shift budget to the channels and creatives with the lowest cost per quality user, keeping a small share for new tests.<\/p>\n<\/div>\n

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Retain<\/h3>\n

Re-engage users and optimize the store listing so users come back, lifting retention and lifetime value.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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What sets us apart<\/span><\/p>\n

Optimize for post-install actions, not installs<\/h2>\n

With the same budget, the two approaches bring in very different users.<\/p>\n<\/div>\n

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The common approach<\/span><\/p>\n

Optimize for cost per install (CPI)<\/h3>\n

Budget goes wherever installs are cheapest, and reporting stops at the install count.<\/p>\n

Pros<\/h4>\n