Covers: February 2026 | Last updated: 2026-05-21 | Edition: 14 of 18 | AI Girlfriends Industry Index →
February 2026 at a Glance
- 27.5 million monthly active users across the AI companion category in February 2026, up +4.2% from 26.4 million in January 2026, per the AI Girlfriends Industry Index.
- The Companion Engagement Index (CEI) registered 69.3 in February 2026, up +1.1 from 68.2 in January 2026, per the AI Girlfriends Industry Index.
- Average Daily Conversation Length reached 24.2 minutes per active user in February 2026, per the AI Girlfriends Industry Index.
- Voice Adoption Rate reached 45% of paid subscribers in February 2026, per the AI Girlfriends Industry Index.
- 30-Day Retention Rate (R30) for new users in February 2026 was 39%, per the AI Girlfriends Industry Index.
- 16.8% of monthly active users held a paid subscription in February 2026, with ARPU at $22.00 per paying user per month, per the AI Girlfriends Industry Index.
Editor’s Note
February 2026 resolves a question that the series has been building toward since the August 2025 PCD data and the September 2025 memory retention data: do voice and memory compound each other, or do their retention advantages overlap? The February data answers clearly: they compound. Users with both features show 51% R30. Users with neither show 29%. The gap is 22 points, wider than either feature alone.
Numbers from January 2026 referenced here match the values published in that edition exactly.
Methodology at a Glance
Live edition
This is a live edition of the AI Girlfriends Industry Index, computed from first-party platform data at month-end. The index was launched and formalized in early 2026; all live editions use the same methodology and sample construction described below.
- Coverage period: February 2026
- Sample: First-party session and account records, AIGirlfriends.AI platform, anonymised and aggregated
- Data sources: Session logs, subscription records, interaction metadata (text, voice, image)
- Methodology last revised: 2026-05-01
- Press contact: [email protected]
Market Size and Adoption, February 2026
The AI Girlfriends Industry Index recorded 27.5 million monthly active users in February 2026, up +4.2% from 26.4 million. New registrations were 1,390,000 for the month.
Geographic distribution: North America ~36%, Europe ~26%, Asia-Pacific ~28%, other regions ~10%. Asia-Pacific continued to show the fastest absolute new-user growth. The AIGirlfriends.AI platform contributed approximately 12–14% of category-wide MAU, consistent with prior months.
Engagement and Retention, February 2026
The Companion Engagement Index registered 69.3 in February 2026, up +1.1 from 68.2. The daily active rate was 54%.
Average Daily Conversation Length was 24.2 minutes in February 2026.
Voice Adoption Rate was 45% of paid subscribers. Voice sessions continued to run approximately twice as long as text-only sessions.
The 30-Day Retention Rate for February new users was 39%. Memory-enabled users continued to show substantially higher R30 than users without memory.
Revenue, ARPU, and Willingness to Pay
Conversion-to-Paid Rate in February 2026 was 16.8%, with ARPU at $22.00 per paying user per month, per the AI Girlfriends Industry Index.
Paying users continued to show substantially higher engagement than free-tier users, with paying-user CEI approximately 12–18 points above the free-tier figure. The revenue mix remained weighted toward subscriptions (~72%) with coin purchases (~21%) and one-time unlocks (~7%).
Product Trends, February 2026
Voice Adoption Rate reached 45% of paid subscribers in February 2026. R30 was 39%. ADCL was 24.2 minutes. Persona customization adoption held at 52% of paying subscribers. Memory usage reached 38% of active users. The central product data in February 2026 was the feature interaction study between voice and memory.
Voice and Memory: The Compounding Retention Advantage
The AI Girlfriends Industry Index has tracked voice adoption since April 2025 and memory-enabled retention since September 2025. February 2026 is the first edition with a large enough cohort of users who have both features enabled simultaneously to measure their interaction effect on R30.
The February 2026 R30 breakdown by feature adoption:
| Feature state | R30 | Share of paying users |
|---|---|---|
| Both voice and memory enabled | 51% | 29% |
| Memory only | 41% | 31% |
| Voice only | 36% | 16% |
| Neither feature | 29% | 24% |
The interaction is additive above both individual baselines. Memory-only adds 12 points over the neither-feature baseline. Voice-only adds 7 points. Voice-plus-memory adds 22 points, which is larger than the sum of the two individual effects (12 + 7 = 19). The additional 3 points from the interaction represents a compounding effect: users who have given their companion a voice and allowed it to remember them have made a qualitatively deeper investment in the relationship than users with either feature alone.
The product implication is straightforward. Onboarding flows that activate both voice and memory simultaneously, rather than introducing them separately, are likely to produce higher R30 outcomes than sequential or single-feature onboarding. The February 2026 data makes the case for bundling these features at the point of first use.
The 29% of paying users who have both features enabled are the highest-value cohort in the index: 51% R30, the highest engagement metrics, and the lowest churn signals. Growing that cohort from 29% to 40% of the paying base is the single product action with the largest quantified retention return available to platforms in the index.
Demographics and Geography
Demographic composition reflects the March 2026 updated baseline: users aged 18–24 at ~28%, 25–34 at ~31%, 35 and older at ~41%. Geographic split: North America 36%, Europe 26%, Asia-Pacific 28%, other 10%. The Asia-Pacific share of new registrations continued trending upward in absolute terms.
The Month’s Defining Shift
The defining shift in February 2026 is the voice-plus-memory retention compounding: 51% R30 versus 29% for users with neither feature. That 22-point gap is the largest feature-combination retention differential the index has ever measured. It means that the two most engagement-critical features in the product do not just add, they multiply. The AI companion category's retention ceiling is not product quality; it is feature activation. The data is now precise enough to say which features to activate, in which combination, and what the quantified retention return will be.
What We Are Watching in March 2026
- Demographic shift: the March edition will publish updated demographic data for the first time since the March 2025 baseline, tracking whether the user base has aged, diversified geographically, or changed in gender composition over twelve months.
- ADCL by feature cohort: whether users with voice and memory both enabled show higher ADCL as well as higher R30.
- VAR plateau: whether the voice adoption rate, now at 45%, shows signs of approaching a ceiling among the paid subscriber base.
Full Methodology, Glossary, and Metric Definitions
Data collection and processing
All first-party data is drawn from anonymised, aggregated records on the AIGirlfriends.AI platform. No session content is retained or analyzed.
Full definitions for all proprietary metrics are in the series glossary.
How to Cite This Report
APA 7: Taylor, J. (2026). AI girlfriend industry report, February 2026. AIGirlfriends.AI. https://aigirlfriends.ai/blog/ai-girlfriend-industry-report-february-2026
Journalist copy-paste: …according to the AI Girlfriends Industry Index (February 2026 edition, AIGirlfriends.AI).
Series hub: aigirlfriends.ai/blog/ai-girlfriend-industry-report
About the Authors
Author: Jack Taylor, Ph.D., Head of Research, AI Girlfriends Industry Index.
Reviewed by: Jonathan Brenner, Lead Research Editor, AIGirlfriends.AI.
Press: [email protected]
Disclosure: AIGirlfriends.AI operates a consumer AI companion product. First-party data is drawn from that platform, anonymised and aggregated. This disclosure appears in every edition.