TLDR Marketing

TLDR MARKETING 2026-04-29

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01GENERAL

Sponsored

YOUR MARKETING STACK HAS EATEN YOUR MARKETING BUDGET

Count how many tools you used to launch your last campaign: CRM, email, funnel builder, booking app, SMS platform, AI assistant…are clients paying for your work, or your stack?

gohighlevel.comSponsor

03STRATEGIES & TACTICS

SEO & AI TIP: OPTIMIZING FOR FREE VS. PAID CHATGPT

Free and paid ChatGPT operate as different systems, so your brand can appear with conflicting answers depending on the user tier. In one test, the free version ignored real search results and fabricated a 90 to 91 degree forecast, while the paid version used a structured data tool to return an accurate 68 degree result. This creates a targeting problem since B2B buyers often use paid tools while consumers rely on free ones, meaning your effective AI presence depends on your audience mix. Audit both tiers by running identical prompts and comparing outputs to map the true exposure surface. Measurement needs to align with the tier your ICP uses, or reporting will reflect a version of reality your customers never see.

linkedin.com2 min read

HOW ONE RETAILER USED AI TO TURN ‘OUT-OF-STOCK' INTO IN-STORE TRAFFIC

The Salvation Army ran a retail campaign that advertised recently sold, one-of-a-kind thrift items rather than available stock, using scarcity and FOMO to drive store visits. Gemini evaluated thousands of product photos across the nationwide inventory while image generator Nano Banana transformed basic stock images into editorial-quality creative. The hyperlocal campaign targeted specific ZIP codes near stores through Google's Demand Gen, serving custom imagery across YouTube, Discover, Gmail, and the Display Network. In its first 30 days, the campaign achieved an $11 cost per store visit, outperforming the industry benchmark by 138%, with over 58% of clicks leading to in-store searches.

business.google.com3 min read

04RESOURCES & TOOLS

METRICOOL: THE SOCIAL MEDIA SCHOOL

Metricool's Social Media School is a free, self-paced online course with 6 modules that teach end-to-end social media management. It covers platform fundamentals, content strategy, and advanced topics like AI and influencer marketing. The focus is on practical, job-ready skills, including how to build a full social media strategy using real workflows and tools like Metricool.

metricool.comCourse

CONTENT MARKETING IN A POST-SEO WORLD (WEBINAR)

Amanda Natividad and Matt Lerner are breaking down “zero-click content” and why it matters on April 30. The session will cover how to create content that builds awareness without relying on traffic, how to measure success, and what founders should prioritize right now.

luma.com

05MISCELLANEOUS

DUDE PERFECT WANTS TO GRADUATE BEYOND BEING A "CREATOR COMPANY"

Dude Perfect is positioning itself as a media company rather than a creator business, with its CEO noting that partnerships now resemble sports sponsorships and long-term brand affiliations rather than one-off sponsored posts. More than half of the company's content is now consumed on TV screens through YouTube, and 80% of viewing happens with kids and parents together, making it one of the few digital properties that reliably reaches family units. The company is expanding beyond its original five performers by launching new channels and developing owned IP and formats.

mikeshields.substack.com3 min read

LOOKING FOR THE “I” ON THE INTERNET

“Frictionmaxxing” is the trend of reintroducing intentional inconvenience into an overly smooth digital life. It pushes back on a frictionless internet where saving, scrolling, and consuming happen automatically. The concept highlights the impulse to collect online fragments, from memes to videos to aesthetic references, most of which are never revisited. This accumulation turns users into informal archivists shaped by algorithms and overload, raising questions about identity in a system built on saving without return.

morningfyi.substack.com5 min read

HOW AMAZON USES LLMS TO RECOMMEND PRODUCTS

Amazon's COSMO system tackles a fundamental limitation in product search by teaching recommendation engines why people buy things, not just what they buy. The team fed millions of purchase behavior pairs into large language models, then built a multi-stage pipeline to filter out the roughly 65%-91% of outputs that were circular, generic, or trivially obvious. A smaller instruction-tuned model called COSMO-LM now generates fresh commonsense knowledge on the fly at a fraction of the original inference cost. A/B tests showed a 0.7% lift in product sales and 8% increase in navigation engagement on just 10% of US traffic. Amazon projects billions in potential revenue if extended across all traffic.

blog.bytebytego.com10 min read