Instagram is a social network, but it's also a social battleground in which users compete for as many Likes as possible, and PreInsta is the newest weapon in that fight. The app lets users A/B test their pictures before posting them on Instagram proper, increasing the likelihood of racking up Likes.
PreInsta is effectively an Instagram training ground. The app collects and displays users' images, just like on Instagram, but users will notice something odd while scrolling through. Each image has a near duplicate beside it, and users only have the option to Like one of the two. That's because posters use PreInsta to decide between the best pictures they have from a given photo session. Since none of the posts on PreInsta are visible on Instagram, it lets users test their images and determine what will perform best in a smaller, more confined community before hitting the big stage.
Social Media Testing Apps
'PreInsta' Lets Users A/B Test Their Photos Before Posting
Trend Themes
1. A/B Testing Apps - Development of A/B testing apps for social media photos provides opportunities for businesses to optimize their content before posting and increase engagement.
2. Social Media Optimization - The rise of social media optimization strategies utilizing A/B testing can benefit marketers by improving content and driving better engagement rates.
3. Social Media Analytics - The growth of social media analytics utilizing A/B testing can help businesses to gain insights into their audience and improve their marketing strategies through data-driven decision-making.
Industry Implications
1. Social Media Marketing - The increased use of A/B testing apps for social media photos offers a new tool for social media marketers to optimize their content and increase engagement rates.
2. E-commerce - A/B testing apps for social media photos can be utilized by e-commerce businesses to test products and campaigns, leading to improved performance and increased conversions.
3. Data Analytics - The rise of social media optimization strategies utilizing A/B testing creates opportunities for data analytics companies to provide businesses with insights on their audience and marketing performance.