AI startup AppNava raises 2.3 million dollars in a round led by Jet Ventures

AppNava, which predicts user behavior and turns it into signals for ad and growth decisions, raised 2.3 million dollars from Jet Ventures and Arya VC.

FUFerhat UğurluYazSis TeamPublished: October 8, 20262 min read
In short

According to an egirisim report dated 8 October 2026, AppNava, which uses AI to predict user behavior, raised 2.3 million dollars. Jet Ventures led the round and Arya VC took part. The company was founded by CEO Damla Dokuzoglu and CTO Emre Bayram.

Turkish startup news site egirisim reported on 8 October 2026 that AppNava has raised 2.3 million dollars in a round led by Jet Ventures with participation from Arya VC. The company's co-founders are CEO Damla Dokuzoglu and CTO Emre Bayram. Dokuzoglu said the company aims to bring its approach to more companies; the report did not give the round stage or the valuation.

  • AppNava uses AI to predict users' lifetime value (LTV) and their likelihood to purchase or to churn.
  • Predicted user values are sent to ad platforms such as Meta, Google and TikTok as optimization signals, so that campaigns are steered toward users likely to create more long-term value.
  • Its products include AI Segmentasyon (AI segmentation), for designing offers and messages for different user groups, and a Cohort LTV dashboard that tracks the long-term value and return of campaigns.

Why it matters

For companies that run mobile apps and digital services, the return on ad budgets may depend more and more on the data signals sent to ad platforms. AppNava's approach aims to steer campaigns by the value a user is expected to bring later, not only by the first conversion. The report says the approach raises return on ad spend (ROAS), but it gives no measured results or figures. Businesses weighing such a model may want to first check how consistently they collect their own user data.

For general information on managing ad budgets with data, see our ad management page.

Sources

FU
Ferhat Uğurlu · YazSis Team

Builds enterprise software, AI and digital transformation products together with the YazSis team.