Text Value

We gathered data to gain a deep understanding of what makes good text in Facebook ads and how we could translate it into a simple and visual result.

Then we decided on the structure of the algorithm and decided to translate the results in 4 different domains with a score from 0 to 100 in total (4x25).

Then, Clarence worked on the algorithm, while I created the design of the website.

Finally, the algorithm now works and is ready to be tested on any text you might have for your Facebook ads.

Our next step is to convert the results visually (the figma is ready, we just have to code it), then we will be able open textvalue.com for a beta test!

After collecting more than 100 ideas for a parallel project, we decided to compare them on the basis of 5 criteria on a score of 1 to 5: Feasibility, Durability, Scalability, Trends and Envy.

We then gathered the 10 best ideas based on their overall score, unless an idea scored 1 in 2 areas, which was a no-no.
Then we naturally quickly eliminated 5 ideas that seemed less appealing, it's a more subjective process and we think you should focus on an idea that you like above all else.
Finally, we ranked the last 5 best ideas based on our experience in manufacturing products.

The winner for the next few weeks is a text checker for Facebook Ads.
Our marketing experience leads us to believe that ad text is misunderstood or underestimated by many marketers. We also know that it can be difficult to follow Facebook's guidelines and best practices.

The goal of textvalue.com is to help marketers estimate the value of their text and understand why we think they could do better with an algorithm based on the data collected (guidelines and best practices) and our marketing experience.