The site’s busiest platform, redirected into a loop. A keyword algorithm reads each parenting question and serves back the right article or product.
Senior Product Designer
Forum, Web & App
32% click-through
Goal
Turn forum traffic into a growth loop
The Baby Forum pulls more traffic than the store and the content farm combined. The plan: redirect that traffic into both, so the three platforms feed each other and organic visits, and E-Commerce revenue, climb together.
Observation
Parents come searching for solutions
The mothers on the Baby Forum are facing real parenting problems, so they leave for Google to solve them. We already had community and knowledge to offer. If we also pointed them to products, the redirect would feel like help, not an ad.
Testing
Build an algorithm that recommends
With a backend engineer, we built a recommendation model. Each E-Commerce category got a set of keywords with weighted scores. We pulled keywords from the questions parents asked, matched them to categories, and surfaced the highest-scoring one as the product to recommend.
Research
Turn keywords into a Baby Dictionary
With the model working, the next step was a Baby Dictionary. More keywords meant sharper recommendations. Using Search Console and Ubersuggest to gather keywords, and Google Analytics to read on-site behavior, we tracked parents’ latest needs and validated which keywords were worth keeping.
Product Launch
Put the loop in front of parents
The recommendations went live inside the forum, then we tuned the experience around them.
01 Redirect traffic into the threads.
Article and product recommendations slot into each discussion, sending readers on to the content farm and the store.
02 Surface more to explore.
A forum UI redesign helps parents find more threads and stay longer.
03 Make asking and replying easy.
A smoother posting and reply flow to spark more interaction.
Takeaway
Forum traffic now flows to both platforms. 32% of users clicked the articles or products the keyword algorithm served them.
32% click-through on recommendations
What we learned
01
Articles beat products on clicks. Readers arrive in “seeking knowledge” mode, so they lean toward related articles. Redirects to the content farm converted better than the ones to the store.
02
Products didn’t pull enough weight. The product categories didn’t tempt enough; a wider range and sharper prices would have earned more attention.
03
The Baby Dictionary needs upkeep. Parents’ needs shift with seasons and trends, so the keywords need maintaining and the algorithm needs steady updates to stay accurate.