Case Study: CQ Roll Call transforms content search and distribution with ayfie

Using Text Analytics to Transform User Experience & Content Distribution

CQ Roll Call, an Economist Group business, provides government relations professionals with up-to-the-minute federal and state policy information, but its massive and fast-growing content library created major search and tagging challenges. With more than 6 million documents and 450,000 new ones added each year, legacy content management tools struggled to keep up, leading to 47% search abandonment, flooded inboxes, and heavy manual effort from staff. CQ Roll Call turned to ayfie for a smarter, scalable text analytics and content classification solution.

ayfie ingested, normalized, extracted entities from, deduplicated, clustered, and classified CQ Roll Call’s entire document corpus, making 100% of the 6 million-plus documents searchable in hours. Integrated through APIs, ayfie delivered highly relevant search results, proactive alerts, predictive query suggestions, and fuzzy matching with essentially zero human interaction. The impact was significant: manual tagging was eliminated, search abandonment dropped dramatically, and users gained faster access to relevant legislative and regulatory content.

CQ Roll Call

Dan Germain

SVP Technology & Chief Digital Officer