Anzar
AI-driven mobile app studio

We launch subscription apps and scale them with data and AI

Anzar Technologies builds, launches and scales its own portfolio of apps. Every app shares the same stack, the same measurement plan and the same acquisition engine: data-driven funnels, AI-driven ads on Meta and TikTok.

  • Data-driven funnels
  • AI-driven ads
  • One playbook, many apps
apps live
7
apps live
verticals
4
verticals
languages
12
languages
in sales by Oct 2026
$100k
in sales by Oct 2026
Ecosystem

A portfolio of apps, one growth engine

Consumer subscription apps in niches where a well-built, well-distributed app wins its place fast.

Faith & spirituality

Daily reading and prayer companions. Our first vertical, available in up to 12 languages.

  • 4 apps

Career

Job search, CVs and interview prep, with an AI coach.

  • 1 app
  • 1 app · coming soon

Lifestyle & health

Consumer apps that use AI vision to analyze, score and track progress.

  • 2 apps

Languagescoming soon

Language-learning apps, built on the same engine as our multilingual apps.

  • 2 apps · coming soon

All our apps run on a shared codebase: launching a new app takes weeks, not months.

What we do

Three disciplines, one loop

Product generates the data, data steers acquisition, acquisition funds the product. Here, all three live in the same team.

Mobile product

iOS and Android apps designed for subscription monetization from the very first line of code.

  • Conversion-driven onboarding and paywalls
  • Subscription models and free-trial offers
  • Multi-market localization and launches

AI-driven ads

Meta Ads and TikTok Ads campaigns powered by AI, from creative production to budget allocation.

  • Creatives generated and iterated with AI, tested at scale
  • Campaigns optimized on revenue events, not installs
  • Budget reallocated weekly under a profitability ceiling

Data & analytics

End-to-end measurement, from the ad impression to the subscription renewal.

  • SKAdNetwork attribution, conversion values and MMP
  • Product analytics: funnels, cohorts, retention
  • LTV and CAC payback modeling
What we measure

The metrics that drive decisions, not the ones that reassure

Impressions, clicks and installs don't pay the bills. We make calls on the metrics that tie ad spend to revenue actually collected.

CAC & payback
The cost to acquire a paying subscriber, and how long it takes to earn it back. The metric that matters most when cash flow does.
Cohort LTV
The value generated by each install cohort, broken down by market, product and channel.
D7 / D30 ROAS
Return on ad spend at equal cohort age, to compare campaigns without maturity bias.
D1 / D7 / D30 retention
Retention curves by cohort, to tell an acquisition problem from a product problem.
Trial-to-paid conversion
The share of trials that become subscribers, net of cancellations and billing failures.
Install-to-subscription funnel
Every onboarding step instrumented, to pinpoint exactly where friction happens.
Churn & refunds
Cancellations and refunds tracked as a real acquisition cost, not as fate.
Signal quality
Consistent SKAdNetwork conversion values and reliable events: that signal is what lets ad networks optimize.
Method

Instrument, diagnose, test, scale

The same loop, applied to every one of our apps.

  1. 01

    Instrument

    Tracking plan, event taxonomy, SKAdNetwork and MMP attribution, reconciliation with store revenue. Without reliable measurement, no decision is reliable.

  2. 02

    Diagnose

    Step-by-step funnel analysis, retention cohorts, breakdowns by market and product. We isolate exactly where value leaks.

  3. 03

    Experiment

    A/B tests on onboarding, paywall, pricing and creatives, with a decision threshold set before launch and a properly sized sample.

  4. 04

    Scale

    Weekly budget reallocation toward the markets and creatives whose acquisition cost stays under the profitability ceiling.

Roadmap

From the first app to $3M ARR

What we built in 2026, and where we're going.

  1. January 2026Done

    Studio founded

    Anzar Technologies launches, along with our flagship app.

  2. May 2026Done

    Three new launches

    Three new apps, including a first health app: the studio goes multi-app and multi-vertical.

  3. June 2026Done

    Portfolio reaches 7 apps

    Three new apps (faith, career and AI lifestyle) join the ecosystem. Gradual rollout on Google Play.

  4. October 2026Done

    $100k in sales

    The data + AI engine is proven across several apps and markets.

  5. Late 2026Next

    New launches

    An AI job-search coach and two language-learning apps. The full portfolio on Android.

  6. 2027Next

    Fundraise and $1M ARR

    Hire a product and growth team, speed up the launch cadence and open new verticals.

  7. 2028Next

    $3M ARR

    A portfolio of apps leading their niches, across all major markets.

Our principles

Collected revenue is the source of truth

Ad network dashboards are estimates. Our source of truth is subscription revenue actually collected.

No decisions on a single day

We make calls on weekly windows and sufficient volume. One day's noise is not a signal.

One test, one threshold

Every experiment has its success criterion written down before it starts. We don't reinterpret results after the fact.

Break it down before concluding

An aggregate number often hides a mix effect. Market, product, channel, cohort age: we slice before we decide.

Stack & tools

The key tools we use every day.

  • Meta Ads
  • TikTok Ads
  • AppsFlyer
  • RevenueCat
  • PostHog
  • React Native
Work with us

What we do for our apps, we can do for yours

We open our know-how to a few subscription app publishers, on the topics where we are most useful.

Attribution audit

A full review of your measurement setup: SKAdNetwork, conversion values, MMP, events sent to ad networks. We find the leaks before you raise the budget.

Funnel & monetization audit

Analysis of onboarding, paywall, trial offer and retention, with a test roadmap prioritized by expected impact.

Acquisition management

Structuring and running your Meta and TikTok campaigns, with reporting tied to real revenue rather than ad network metrics.

Frequently asked questions

Do you only work on your own apps?

Our apps are our testing ground: every method described here is applied there under real conditions. We also support a few subscription app publishers on attribution, funnels and paid acquisition.

Is Anzar raising?

Yes. We're preparing a raise in 2027 to hire a product and growth team and speed up our launch cadence. Investors and angels: reach out, we're happy to walk you through our numbers.

How do you measure acquisition on iOS since ATT?

By combining several sources: SKAdNetwork for aggregated conversions, an MMP for unified attribution, and store revenue as the reference. The critical piece is the conversion value schema: a single writer, a consistent event hierarchy, and values aligned across every ad network.

Which ad platforms do you work with?

Mainly Meta (Facebook, Instagram) and TikTok, with install campaigns optimized on trial and purchase events rather than on install volume.

What kind of apps?

Consumer apps monetized through subscriptions, often with a free trial, launched across several markets and languages.

Let's talk

Investor, partner or app publisher: write to us and we'll get back to you quickly.