Most Promoted Listings feel like the eComm equivalent of banner ads. Forced. Irrelevant. And an annoyance at best. The reason why so many promoted products feel out of context is that they’re ranked based on the bid alone, rather than on relevance to the user. Miso’s modeling allows you to balance a promoted listing’s relevance to a user, it’s value as an ad, and the probability of a purchase. A win-win-win for your customers, your ad partners, and yourself as a retailer and marketplace. End result? High conversion promoted listings that feel seamless, natural, and interesting for a change.

When it comes to price sensitivity, consumers really run the gamut. A person may be intensely price sensitive on their rental car options but a hotel snob about where they stay. Context is everything. And this is where Miso’s granular 1:1 user modeling really shines. By dialing into a user’s full spectrum of interests, you can highlight great savings when saving a buck really matters to a user, and then highlight luxury products and experiences for the times when money is no object.

When a shopper buys a jacket or a pair of Jordans, they're not buying a product. They're building a fit. Hopefully one that reflects their style, sizing, and budget. And definitely one that feels on trend. Miso’s semantic and image product analytics, combined with our granular 1:1 and real-time user modeling engines, allow you to build any combo of style recs that are tailored not only for a specific product but also for a specific user.

When you have stock outs, the "solution" from the last generation of search and rec engines is to hide items from users. "Great" idea. You're essentially telling your shoppers, “We don’t ever carry this, you should look elsewhere.” Instead, with Miso Stock Out coverage, you can turn disappointment into engagement. Out of stock products will still show up for users interested in them along with nearest neighbor product alternatives. "We don't have this at the moment, but here's something you might like, just as much or even more." A much better experience for your new and loyal shoppers, especially those who can't wait and would be just as happy with a good backup option.

Frequently Bought Together recommendations have so much potential but too often feel generic and bland. "What products complement this product?" is a good starting point. But if you really want to drive conversions, your website needs to answer "What products complement this product for this specific user?" The good news is that Miso provides you with the pieces you need to build really relevant Frequently Bought Together recommendations - a semantic understanding of the products and a granular picture of what your users want at any given moment. With Miso, you can make recommendations that actually feel handpicked, for each and every one of your website visitors.