{"id":41312,"date":"2026-02-27T15:33:21","date_gmt":"2026-02-27T15:33:21","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=mec-events&#038;p=41312"},"modified":"2026-02-27T15:34:53","modified_gmt":"2026-02-27T15:34:53","slug":"roundtable-roi-21-04-26","status":"publish","type":"mec-events","link":"https:\/\/www.dataiq.global\/devstage\/iqevents\/roundtable-roi-21-04-26\/","title":{"rendered":"Measuring ROI of AI-Driven, Multi-Channel Marketing"},"content":{"rendered":"<p>This event is designed for DataIQ clients only. If you&#8217;re a client, you can sign up via the <a href=\"https:\/\/hub.dataiq.global\/events\/evolution-of-the-cdo-growth-paths-for-senior-data-and-ai-leaders\" rel=\"nofollow noopener\" target=\"_blank\">DataIQ Hub.<\/a> If you are not a client yet, you can find our more <a href=\"https:\/\/www.dataiq.global\/learn-more\">here.<\/a><\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><strong>Roundtable format:<\/strong><\/p>\n<p>Roundtables are 60-minutes, facilitated online discussions with maximum of 10 data leaders focused on the most pressing issues. They provide a trusted space to share experiences, test ideas, and learn from peers, with each session shaped around a topical theme.<\/p>\n<p>\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500<\/p>\n<p><b><span data-contrast=\"none\">Questions:\u00a0<\/span><\/b><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/p>\n<ol>\n<li><span data-contrast=\"auto\">How are organisations isolating incremental ROI in complex, automated marketing journeys where multiple channels and AI models influence the same customer?<\/span><\/li>\n<li><span data-contrast=\"auto\">What attribution approaches are proving credible with executive stakeholders, and where are they falling short?<\/span><\/li>\n<li aria-setsize=\"-1\" data-leveltext=\"%1.\" data-font=\"Aptos\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">How are teams balancing experimentation, speed, and measurement rigour when optimising AI-driven marketing activity?<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li style=\"list-style-type: none;\">\u00a0<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Explore how consumer and retail organisations are measuring true incremental impact and attribution across AI-driven, automated, multi-channel customer journeys.\u00a0<\/p>\n","protected":false},"author":419,"featured_media":41314,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","tags":[],"pillar":[],"false":[418],"mec_speaker":[],"mec_sponsor":[],"class_list":["post-41312","mec-events","type-mec-events","status-publish","has-post-thumbnail","hentry","mec_category-masterclass"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/mec-events"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/419"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=41312"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41312\/revisions"}],"predecessor-version":[{"id":41316,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec-events\/41312\/revisions\/41316"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/41314"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=41312"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=41312"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=41312"},{"taxonomy":"mec_category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/false?post=41312"},{"taxonomy":"mec_speaker","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_speaker?post=41312"},{"taxonomy":"mec_sponsor","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/mec_sponsor?post=41312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}