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StackAdapt's flagship marketing event [4] launches June 2 as a virtual event—so you can enjoy it all for free from the comfort of your own home.
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Sponsored
StackAdapt's flagship marketing event [4] launches June 2 as a virtual event—so you can enjoy it all for free from the comfort of your own home.
* How AI is shaping the future of marketing and growth * Practical ideas for building and leading in a changing landscape * New perspectives on leadership, resilience, and lasting impact
AI-driven ecommerce traffic shows strong buying intent, but results are inconsistent across studies. Adobe reports AI visitors were 42% more likely to purchase and generated 37% more revenue per visit, while they spent 48% longer on site, viewed 13% more pages, and bounced 32% less. Other research shows AI traffic is still small at under 0.2% of total visits and sometimes converts worse than channels like organic search or paid search. Differences come from measurement methods, definitions of AI traffic, geography, and timing, which makes early data easy to misread.
AI search often uses brand content without naming the brand. 62% of citations are “ghost citations” where a link appears but no brand mention is included. Across 3,981 domains, 75% were cited but only 38% were mentioned, and just 13% achieved both outcomes. Different AI engines behave very differently, as Gemini mentions brands 83.7% of the time but rarely cites them, while ChatGPT cites 87.0% of the time but mentions only 20.7%. Strong consumer brands are frequently named in answers, while sources like Wikipedia are cited often but rarely mentioned.
Align LinkedIn posts tightly with a clear topic that matches the profile so the algorithm can reinforce perceived expertise. Use carousels, polls, short vertical video, and newsletters, since text posts now underperform. Optimize for strong engagement signals like saves, long comments, DM shares, and 60+ second dwell time instead of likes. The first 60-90 minutes are critical, since they drive about 70% of total reach. Reply to comments within 30 minutes. Posts can circulate for 2-3 weeks, and saves 24-72 hours later often perform 4-6x better. Keep post length around 1,300-1,900 characters, since under 500 characters can reduce reach by 35%. Avoid external links, engagement pods, heavy hashtags, over tagging, and frequent posting, which can reduce distribution.
LinkedIn headlines that only list a role can be too broad and may miss more specific recruiter searches that combine function, channel, and specialty. Recruiters often search terms like “growth marketing + paid social” or “digital marketing + SEO”, so generic titles reduce visibility. Adding context helps match these searches, using a format like role + channel or focus + specialty/tools + industry. For example, instead of “Growth Marketing Manager”, use “Growth Marketing Manager | Paid Social & Acquisition | Meta, Performance Marketing | DTC” or “Growth Marketing Manager | Lifecycle & Retention | Email, CRM, Customer Journeys | B2B SaaS”. This makes profiles easier to find and more aligned with how recruiters actually search.
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Wistia analyzed 13M+ videos to distill the trends, benchmarks, and
covers highlights: budget questions, AI production, and LinkTok's surge in B2B video sharing. Learn how to measure the performance of
Google is changing AI Mode in Chrome so links no longer send users fully to websites. Instead, clicking a result opens a side by side view with the webpage on one side and AI Mode on the other, keeping users inside the LLM experience. Users can still navigate the site, but the AI sidebar remains active throughout. This shift lets Google layer its AI experience on top of publisher content surfaced in search.
Threads will roll out live chats to offer a more controlled way to follow real-time discussions around events and topics. The feature lets creators start a chat, invite a few contributors, and allow followers to subscribe in a read only format. It builds on Instagram Broadcast Channels from 2023 but adds more active conversation from selected participants. It aims to reduce spam seen in hashtag-driven feeds by limiting who can post.
Prototyping should start with content instead of code to avoid building cluttered and confusing products. Rapid prototyping often leads to experience rot where features pile up without improving usability and cognitive load increases. LLMs and code generators can worsen this by making it easier to ship unnecessary features. Content should define the system because it carries meaning while interfaces should wrap around it. Content first design improves clarity and product coherence before visual design or implementation.
Marketing mix modeling is widely used but often fails to drive action. Leading organizations close this gap by turning MMM from a backward looking report into a forward system that guides spend decisions. They improve data quality and integration across fragmented channels, automate manual data work like media classification, and use incrementality testing to validate and calibrate model outputs. They also refresh MMM frequently, often quarterly, to keep pace with market change and shorten the path from insight to action.
Tactics include using 404 pages as lead magnets, mistakes as engagement hooks, and creating physical mail from digital content.
Instagram expands Your Algorithm from Reels to Explore so users can view and adjust AI-driven interest topics across both.
ChatGPT ad CPMs fell from $60 to $25 in nine weeks after OpenAI lowered minimum spend from $250K to $50K for the pilot.