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# Predictive Proposal Apps
TIME's Facebook App Answers 'Is It Time I Got Married?'

By Laura McQuarrie | Published 2014-02-13 | Lifestyle
Source: Trend Hunter, https://www.trendhunter.com/trends/is-it-time-i-got-married
References: [psfk](http://www.psfk.com/2014/02/facebook-marriage-countdown-app.html) & [techland.time](http://techland.time.com/2014/02/10/facebook-marriage-date/)

TIME created a [Facebook](https://www.trendhunter.com/trends/predict-future) app that asks "Is it time I got married?" and gives you a prediction on when you'll get married, based on your Facebook friends.

After giving the app access to your Facebook account, it looks at the average age of married friends, to determine if you'll be asked soon to [tie the knot](https://www.trendhunter.com/trends/make-it-yours-by-the-knot), or if you've most likely missed out on that window.

There are a number of factors that could seriously affect the results of the app, including that some people do not specify their age or, current relationship status, plus any couples who identify as being "engaged," "in a civil union" or "in a domestic partnership," are lumped into the same group as married couples.

## Trend Insights (Trend Hunter)

- Score: 5.0/10
- Popularity: 50% | Activity: 93% | Freshness: 8%
- Audience gender: 30% men, 70% women
- Primary generations: Millennial
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Lifestyle](https://www.trendhunter.com/lifestyle) > [Romance](https://www.trendhunter.com/romance)

## Key Themes

### What's Driving This Trend

- **Predictive Relationship Apps:** Creating predictive apps that can help people make decisions and forecast their future based on their data and that of their network.
- **Social Network Data-based Insights:** Using social network data to develop insights into user behavior, preferences and future predictions, and building apps around that.
- **Personalizational Matchmaking:** Developing matchmaking apps that can provide personalized suggestions based on personality types, network data and other relevant factors.

### Who This Affects Most

- **Social Media:** Social media platforms can benefit from developing predictive apps that keep users engaged and contribute to their overall experience.
- **Online Dating:** Online dating apps can leverage predictive technologies to suggest matches, personalize user experiences and increase user retention.
- **Psychometrics:** Companies that specialize in personality and behavior assessment and analysis can develop predictive technologies that can be applied in the matchmaking market.

## Related on Trend Hunter

- [Death Prediction Apps](https://www.trendhunter.com/trends/death-clock-app.md)
- [Humorous Love Predictors](https://www.trendhunter.com/trends/lovescope-2025.md)
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- [Hybrid Dating Apps](https://www.trendhunter.com/trends/when-we-first.md)
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- [Romantic AI Portraits](https://www.trendhunter.com/trends/true-love-portrait.md)
- [Social Media Dating Profiles](https://www.trendhunter.com/trends/likelike.md)
- [Timed Dating App Features](https://www.trendhunter.com/trends/dating-app-burnout.md)
- [Matchmaking Dating Apps](https://www.trendhunter.com/trends/cheers-dating-app.md)
