[{"data":1,"prerenderedAt":404},["ShallowReactive",2],{"uc-hub-function-marketing":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":24,"benchmarks":331,"topIndustries":341,"topFunctions":358,"topPatterns":359,"stageMix":376,"regionMix":389,"organizations":403,"other":85},"function","Business function",{"id":7,"label":8,"description":9},"marketing","Marketing","Campaigns, personalization, content and customer insight.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},16,65,14,62,19,63,{"A":20,"B":21,"C":22,"D":23},0,27,37,1,[25,61,86,106,117,140,164,178,197,220,237,255,273,291,304,317],{"slug":26,"title":27,"shortTitle":28,"definition":29,"status":30,"industries":31,"functions":36,"patterns":38,"audience":43,"autonomy":44,"adoptionStage":45,"evidenceCount":46,"publicEvidenceCount":46,"organizations":47,"bestGrade":52,"headline":53,"lastVerified":60,"indexable":11},"inbound-lead-qualification-agent","AI agent for inbound lead qualification and meeting booking","Inbound lead qualification","An AI agent that engages inbound prospects the moment they arrive on the website, chat, messaging or the sales phone line, answers their first questions, qualifies them against the organization's criteria, and books a meeting or hands a ready conversation to the right salesperson, with the context written into the CRM.","published",[32,33,34,35],"cross-industry","technology","automotive","banking",[37,7],"sales",[39,40,41,42],"conversational-agent","voice-agent","classification-and-routing","agentic-workflow","customer-facing","supervised-agent","early-adopters",4,[48,49,50,51],"8x8","CarMax","Rocket Mortgage","SUSE","C",{"kpi":54,"label":55,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":17,"qualifier":58,"claimant":59,"organization":48,"vendorReported":11},"conversion-rate-uplift","Conversion uplift","percent","reported","exact","vendor","2026-09-27",{"slug":62,"title":63,"shortTitle":64,"definition":65,"status":30,"industries":66,"functions":68,"patterns":69,"audience":73,"autonomy":74,"adoptionStage":45,"evidenceCount":75,"publicEvidenceCount":76,"organizations":77,"bestGrade":52,"headline":85,"lastVerified":60,"indexable":11},"outbound-sales-prospecting-agent","AI agent for outbound sales prospecting and personalized outreach","Outbound sales prospecting","An AI agent that researches target accounts and contacts, drafts personalized outbound outreach (emails, LinkedIn messages and call scripts) from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.",[32,33,67],"professional-services",[37,7],[70,42,71,72],"content-generation","recommendation-and-personalization","prediction-and-scoring","employee-facing","copilot",9,7,[78,79,80,81,82,83,84],"A-LIGN","ANS","Dun & Bradstreet","Lumen Technologies","Merge","Oyster","Unifonic",null,{"slug":87,"title":88,"shortTitle":89,"definition":90,"status":30,"industries":91,"functions":93,"patterns":95,"audience":43,"autonomy":96,"adoptionStage":97,"segment":98,"evidenceCount":99,"publicEvidenceCount":100,"organizations":101,"bestGrade":105,"headline":85,"lastVerified":60,"indexable":11},"offers-and-rewards-agent","AI agent for personalized offers and rewards","Offers and rewards","A customer facing AI agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment from their transactions and context, delivers it in the app, in messaging or through a colleague, and helps the customer understand, track and redeem rewards in conversation. Unlike campaign personalization, it works inside the customer's own account and loyalty relationship, one moment at a time.",[35,92],"payments",[7,37,94],"customer-service",[71,72,39],"autonomous","mainstream","front-office",8,3,[102,103,104],"Bank of America","Commonwealth Bank of Australia","DBS Bank","B",{"slug":107,"title":108,"shortTitle":109,"definition":110,"status":30,"industries":111,"functions":112,"patterns":113,"audience":43,"autonomy":44,"adoptionStage":114,"segment":98,"evidenceCount":100,"publicEvidenceCount":100,"organizations":115,"bestGrade":105,"headline":85,"lastVerified":60,"indexable":11},"proactive-outbound-engagement-agent","AI agent for proactive customer outreach, activation and retention","Proactive outreach and activation","An AI agent that holds the conversation when a bank reaches out first to change something about the customer's account or products, triggered by an event or a campaign: low balance and fee avoidance alerts, payment and renewal reminders, card activation, dormant account reactivation and offers the customer already qualifies for, over messaging or voice, while the bank's own systems decide who is contacted and why. Reminders about appointments and deliveries the customer booked, and the in app coach the customer opens, are separate use cases.",[35,92],[7,37,94],[39,40,42,71],"emerging",[102,116,103],"Capital One",{"slug":118,"title":119,"shortTitle":120,"definition":121,"status":30,"industries":122,"functions":124,"patterns":125,"audience":43,"autonomy":44,"adoptionStage":45,"segment":98,"evidenceCount":75,"publicEvidenceCount":75,"organizations":127,"bestGrade":105,"headline":137,"lastVerified":139,"indexable":11},"plan-upgrade-and-sales-assistant","AI assistant for telecom plan upgrades, add ons and sales","Plan upgrade and sales assistant","An AI assistant that helps existing and prospective customers choose, compare and buy the right mobile, broadband or TV plan, device or extra, in the app, in messaging, on the phone or through a human advisor, using the customer's usage and eligibility and the operator's current offers, and that completes the order or passes a ready quote to a person.",[123],"telecommunications",[37,94,7],[71,39,126,40,42],"rag-knowledge-assistant",[128,129,130,131,132,133,134,135,136],"Reliance Jio","Mobily","Orange France","Singtel","T-Mobile","Telenet","Verizon","Virgin Media O2","Vodafone",{"kpi":54,"label":55,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":138,"qualifier":58,"claimant":59,"organization":133,"vendorReported":11},75,"2026-09-26",{"slug":141,"title":142,"shortTitle":143,"definition":144,"status":30,"industries":145,"functions":149,"patterns":152,"audience":73,"autonomy":74,"adoptionStage":45,"evidenceCount":154,"publicEvidenceCount":100,"organizations":155,"bestGrade":105,"headline":159,"lastVerified":60,"indexable":11},"marketing-content-compliance-copilot","AI copilot for marketing content with compliance pre review","Marketing content and compliance","A copilot that drafts campaign copy, product explainers and social posts on brand and in the customer's language from approved product facts, then runs a first pass compliance check against advertising rules and required disclosures, flagging unsupported claims and missing warnings before a human in marketing compliance approves publication.",[32,35,146,92,147,148],"insurance","wealth-and-asset-management","pharma-and-life-sciences",[7,150,151],"regulatory-compliance","legal",[70,126,41,153],"translation",5,[156,157,158],"Ally Financial","JPMorgan Chase","Klarna",{"kpi":160,"label":161,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":162,"qualifier":58,"claimant":163,"organization":156,"vendorReported":10},"productivity-gain","Productivity gain",34,"organization",{"slug":165,"title":166,"shortTitle":167,"definition":168,"status":30,"industries":169,"functions":170,"patterns":171,"audience":43,"autonomy":44,"adoptionStage":45,"segment":98,"evidenceCount":99,"publicEvidenceCount":172,"organizations":173,"bestGrade":105,"headline":85,"lastVerified":60,"indexable":11},"financial-wellbeing-coach","AI financial wellbeing coach in the banking app","Financial wellbeing coach","An in app AI assistant that the customer opens to understand their own money: it uses the customer's transaction data to explain their spending, forecast upcoming bills and cash flow, set and track savings goals and answer money questions in plain language, staying on the guidance side of the line between guidance and regulated financial advice.",[35],[94,7],[39,71,72,42],6,[102,103,174,175,176,177],"Hyundai Card","Royal Bank of Canada","Starling Bank","Westpac",{"slug":179,"title":180,"shortTitle":181,"definition":182,"status":30,"industries":183,"functions":184,"patterns":186,"audience":187,"autonomy":44,"adoptionStage":97,"segment":188,"evidenceCount":46,"publicEvidenceCount":46,"organizations":189,"bestGrade":105,"headline":192,"lastVerified":60,"indexable":11},"churn-prediction-and-retention-offers","AI for telecom churn prediction and retention offers","Churn prediction and retention","AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals, explains the likely reason, and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.",[123],[7,94,37,185],"analytics-and-reporting",[72,71,39],"back-office","middle-office",[190,133,135,191],"Etisalat","Vodafone UK",{"kpi":193,"label":194,"unit":56,"n":195,"nUpTo":20,"kind":57,"value":196,"qualifier":58,"claimant":59,"organization":133,"vendorReported":11},"churn-reduction","Churn reduction",2,20,{"slug":198,"title":199,"shortTitle":200,"definition":201,"status":30,"industries":202,"functions":206,"patterns":207,"audience":187,"autonomy":74,"adoptionStage":97,"evidenceCount":154,"publicEvidenceCount":154,"organizations":210,"bestGrade":105,"headline":216,"lastVerified":60,"indexable":11},"customer-feedback-analysis","AI for voice of the customer and feedback analysis","Customer feedback analysis","AI that reads every piece of free text customer feedback, such as survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and turns it into themes, sentiment, drivers and suggested actions that a named owner can act on, so the organization hears all of its customers instead of a sample.",[32,203,204,205],"retail-and-ecommerce","government","manufacturing",[94,7,185],[41,208,209],"summarization","speech-analytics",[211,212,213,214,215],"U.S. Department of Housing and Urban Development","Majid Al Futtaim Retail","Mattel","SBF Group","U.S. Social Security Administration",{"kpi":217,"label":218,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":219,"qualifier":58,"claimant":59,"organization":214,"vendorReported":11},"accuracy","Accuracy",84,{"slug":221,"title":222,"shortTitle":223,"definition":224,"status":30,"industries":225,"functions":226,"patterns":227,"audience":73,"autonomy":44,"adoptionStage":45,"evidenceCount":100,"publicEvidenceCount":100,"organizations":228,"bestGrade":52,"headline":232,"lastVerified":60,"indexable":11},"marketing-and-product-content-localization","AI localization of marketing, product and web content","Content localization","AI that translates and adapts an organization's commercial content, such as campaigns, emails, product pages, help content and websites, for each market and language, using the brand's glossary, style guide and past approved translations, and routes the output to human linguists and local marketers for review in proportion to how visible and risky the content is.",[32,203,67,205],[7],[153,70],[229,230,231],"Bosch Digital","Lionbridge","Swarovski",{"kpi":233,"label":234,"unit":235,"n":23,"nUpTo":20,"kind":57,"value":236,"qualifier":58,"claimant":59,"organization":231,"vendorReported":11},"processing-time-reduction","Cycle time reduction","multiplier",10,{"slug":238,"title":239,"shortTitle":240,"definition":241,"status":30,"industries":242,"functions":245,"patterns":246,"audience":187,"autonomy":44,"adoptionStage":97,"evidenceCount":99,"publicEvidenceCount":76,"organizations":247,"bestGrade":105,"headline":253,"lastVerified":60,"indexable":11},"personalized-marketing-at-scale","AI marketing personalization at scale","Marketing personalization at scale","AI that runs marketing campaigns at the level of the individual: it decides for each customer which product, offer, message or content to show next across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the marketing team's engine across many campaigns and channels, not an agent that converses with the customer.",[32,243,244,203,35],"travel-and-hospitality","media-and-entertainment",[7,37],[71,72,70],[248,249,103,250,251,231,252],"Amazon","Catchtable","Radisson Hotel Group","Square Enix","Virgin Voyages",{"kpi":54,"label":55,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":254,"qualifier":58,"claimant":59,"organization":249,"vendorReported":11},30,{"slug":256,"title":257,"shortTitle":258,"definition":259,"status":30,"industries":260,"functions":261,"patterns":262,"audience":73,"autonomy":263,"adoptionStage":45,"segment":98,"evidenceCount":154,"publicEvidenceCount":154,"organizations":264,"bestGrade":105,"headline":269,"lastVerified":60,"indexable":11},"next-best-action-for-advisors","AI next best action prompts for wealth advisors","Advisor next best action","An AI engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts, such as idle cash, a maturing deposit, a concentration to review, a life event or an early sign of attrition, each with the reasoning and data behind it, for the advisor to act on or dismiss.",[147,35],[37,7,185],[71,72,70],"assist",[265,266,157,267,268],"CIMB Niaga","Citi","Morgan Stanley","UBS",{"kpi":270,"label":271,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":272,"qualifier":58,"claimant":163,"organization":268,"vendorReported":10},"employee-adoption","Employee adoption",80,{"slug":274,"title":275,"shortTitle":276,"definition":277,"status":30,"industries":278,"functions":279,"patterns":281,"audience":187,"autonomy":44,"adoptionStage":97,"evidenceCount":46,"publicEvidenceCount":46,"organizations":283,"bestGrade":105,"headline":287,"lastVerified":60,"indexable":11},"product-content-and-catalog-enrichment","AI product content and catalog enrichment for online retail","Product content and catalog enrichment","AI that writes and repairs product content at catalog scale: it drafts titles, descriptions and image alt text, and extracts missing attributes such as color, size and material from supplier text and product images, then checks its own output before the content is published to the store and to search engines. A human owns the rules, the quality thresholds and the exceptions.",[203,32],[7,280],"operations",[70,282,41],"computer-vision",[248,284,285,286],"eBay","Etsy","Walmart",{"kpi":288,"label":289,"unit":56,"n":23,"nUpTo":20,"kind":57,"value":290,"qualifier":58,"claimant":163,"organization":248,"vendorReported":10},"quality-score-uplift","Quality score uplift",40,{"slug":292,"title":293,"shortTitle":294,"definition":295,"status":30,"industries":296,"functions":297,"patterns":298,"audience":187,"autonomy":96,"adoptionStage":97,"segment":299,"evidenceCount":195,"publicEvidenceCount":195,"organizations":300,"bestGrade":105,"headline":85,"lastVerified":303,"indexable":11},"content-recommendation-and-personalization","AI recommendation and personalization engine for streaming and media","Content recommendation and personalization","A recommendation system that decides, for each individual viewer or listener, what to show next on a home page, in search or in a personalized playlist, learned from that person's own viewing or listening history, ratings and context, and continuously updated as new content is added and behavior changes. It ranks the catalog's own content; it is not the marketing engine that decides which offers or campaigns to send, which is a separate use case in this library.",[244],[7,185],[71,72],"content discovery",[301,302],"Netflix, Inc.","Spotify","2026-09-28",{"slug":305,"title":306,"shortTitle":307,"definition":308,"status":30,"industries":309,"functions":310,"patterns":311,"audience":43,"autonomy":96,"adoptionStage":45,"evidenceCount":236,"publicEvidenceCount":154,"organizations":312,"bestGrade":105,"headline":316,"lastVerified":60,"indexable":11},"conversational-shopping-assistant","AI shopping assistant for product discovery and recommendations","Conversational shopping assistant","A conversational assistant on a retailer's site or app that answers product questions, compares items and recommends products from the retailer's own catalog for a need, project or occasion described in the shopper's own words, grounded in product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.",[32,203],[37,7,94],[39,71,126,42],[248,313,314,286,315],"Lowe's","Sun & Ski Sports","Zalando",{"kpi":54,"label":55,"unit":235,"n":23,"nUpTo":20,"kind":57,"value":100,"qualifier":58,"claimant":59,"organization":314,"vendorReported":11},{"slug":318,"title":319,"shortTitle":320,"definition":321,"status":30,"industries":322,"functions":323,"patterns":325,"audience":43,"autonomy":96,"adoptionStage":45,"evidenceCount":154,"publicEvidenceCount":46,"organizations":326,"bestGrade":52,"headline":85,"lastVerified":139,"indexable":11},"ai-visitor-and-tour-guide","AI visitor and tour guide for cities, museums and events","Visitor and tour guide","A location and context aware AI guide, often spoken, that tells visitors of cities, museums, heritage sites and events the stories behind what is around them and answers their questions in their own language, grounded in the organization's curated content and in the visitor's position or the object they scan.",[243,244,204],[94,7,324],"knowledge-management",[126,39,40,282,153],[327,328,329,330],"Art Basel","Bloomberg Connects","Madrid Destino","National Gallery Singapore",[332],{"kpi":54,"label":55,"unit":56,"aggregate":11,"higherIsBetter":11,"n":100,"nUpTo":20,"median":254,"min":17,"max":138,"byClaimant":333,"vendorOnly":11,"points":334},{"organization":20,"vendor":100,"regulator":20,"independent":20},[335,337,339],{"evidenceId":336,"organization":133,"value":138,"qualifier":58,"claimant":59,"grade":52,"pooled":11},"telenet-next-best-action-decisioning",{"evidenceId":338,"organization":249,"value":254,"qualifier":58,"claimant":59,"grade":52,"pooled":11},"catchtable-personalized-recommendations",{"evidenceId":340,"organization":48,"value":17,"qualifier":58,"claimant":59,"grade":52,"pooled":11},"8x8-ai-sdr-inbound-qualification",[342,344,346,348,350,352,354,356],{"id":32,"label":343,"count":99},"Cross industry",{"id":35,"label":345,"count":76},"Banking",{"id":203,"label":347,"count":154},"Retail and ecommerce",{"id":244,"label":349,"count":100},"Media and entertainment",{"id":92,"label":351,"count":100},"Payments and cards",{"id":204,"label":353,"count":195},"Government and public sector",{"id":205,"label":355,"count":195},"Manufacturing",{"id":67,"label":357,"count":195},"Professional services",[],[360,362,364,366,368,370,372,374],{"id":71,"label":361,"count":236},"Recommendation and personalization",{"id":39,"label":363,"count":99},"Conversational agent",{"id":72,"label":365,"count":76},"Prediction and scoring",{"id":42,"label":367,"count":172},"Agentic workflow",{"id":70,"label":369,"count":172},"Content generation",{"id":41,"label":371,"count":46},"Classification and routing",{"id":126,"label":373,"count":46},"RAG knowledge assistant",{"id":40,"label":375,"count":46},"Voice agent",[377,379,381,384,387],{"stage":378,"count":20},"announced",{"stage":380,"count":100},"pilot",{"stage":382,"count":383},"production",39,{"stage":385,"count":386},"scaled",23,{"stage":388,"count":20},"paused",[390,392,395,397,399,401],{"region":391,"count":21},"north-america",{"region":393,"count":394},"europe",15,{"region":396,"count":236},"asia-pacific",{"region":398,"count":99},"global",{"region":400,"count":46},"middle-east",{"region":402,"count":23},"latin-america",[48,78,79,156,248,327,102,328,229,265,116,49,249,266,103,104,80,190,285,174,157,158,230,313,81,329,212,213,82,129,267,330,301,130,83,250,128,50,175,214,51,131,302,251,176,314,231,132,133,211,215,268,84,134,135,252,136,191,286,177,315,284],1790598308787]