Use Cases

Relevance as a Revenue Engine

Product Discovery

Doing product discovery well drives revenue. Full stop. Connecting users to what they want, even when they can’t yet articulate it, with as little friction as possible is a core challenge for every consumer business that transacts online. As catalogs grow, that challenge only compounds.

The Sequen Relevance Platform optimizes product discovery across your application by learning from live behavioral signals and dynamically adapting the experience at moments of highest purchase intent, while the user is on your site. You’ve already earned the traffic. Sequen helps convert it.

Recommendations

Sequen recommendations nudge users towards conversion, dynamically reranking and evolving during the session, to surface the most relevant products, content, or experiences at the exact moment purchase intent is highest. The result is less friction, faster discovery, and materially higher conversion and revenue especially in large, complex catalogs where traditional recommendation systems fall short.

Search Results

Successful search applications are more than just information retrieval, they live or die by their ability to effectively rank matches. Yesterday’s search technology matched keywords while today’s AI-driven tools develops real context around user interactions‒what they looked at, clicked on, hovered over. Sequen AI builds a context to find the right results at the right time. Ranking also cannot be static, one more piece of data may make all the difference. That’s why we also do re-ranking of results in-session and across multiple session time windows, so any changes in context are identified and operated on right away.

Advertising

Timing is everything is advertising technology space and the older data gets the less valuable it becomes. Today’s applications must meet the user where they at in their journey at precise moments. A users interests can evolve as they move through sites and applications. Ad Tech infrastructure must notice these changes and provide responses in sub-50ms response times or miss the user completely.

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