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And other stories.
Google’s AI Overviews surface when a user’s query is complex or exploratory, drawing from a range of web sources to offer quick-hit insights.
Now, ads are part of the equation.
Advertisers can show ads above, below, or within AI Overviews, depending on the relevance of the ad and the commercial intent behind a query.
While we can’t target or opt out of AI Overview placements, Google reports that users find these ads helpful. As this format evolves, new reporting and optimization tools may follow.
Here’s why it matters:
So, how do you get it right?
Read Google’s guide for more.
Clipping—sharing short video segments from long-form content like podcasts, livestreams, or YouTube videos—started as a growth hack among creators. Now, it’s a favorite tactic of enterprise-level brands and advertisers, too.
Clippers, often creators or social media operators, get paid to post brand-shared content in exchange for views — typically $1 to $5 per 1,000 views. Most campaigns have a cap, creating a bounty-style model. Platforms like Whop have formalized this once-underground practice, attracting companies with billions in market cap and creators making tens of thousands of dollars per month.
So why the buzz?
Despite the hype, clipping carries legal gray areas, especially around FTC disclosure rules. Many clips aren’t clearly labeled as ads, which could spell risk for platforms and brands alike.
Check out Digiday to learn more about clipping.
Warner Bros. Discovery’s decision to bring back the HBO name after stripping it from its streaming service in favor of the simplified “Max” is a rare reversal.
After the initial rebrand, brand equity was diluted, consumer recognition dropped, and the share price tumbled 15% this year.
Here are four lessons for navigating rebrands:
Read the full insight from Inc.
The biggest problem in content today isn’t a lack of substance. It’s sameness.
So, how do you keep readers awake?
Here are 8 ways to make content interesting:
Head to From Reads to Leads for more.
As AI-driven tools like ChatGPT become go-to sources for information, the objective becomes being seen, cited, and surfaced in large language model (LLM) outputs.
if OpenAI can’t see your content, it can’t cite or include it in responses. In the LLM era, clean structure, crawlability, and SSR are the new cornerstones of discoverability.
OpenAI operates multiple bots that each serve different purposes:
Here’s a quick checklist to prepare your site for AI visibility:
✅ Allow crawling. Make sure your robots.txt file allows access to OpenAI bots.
✅ Use server-side rendering (SSR). OpenAI’s bots don’t run JavaScript. Content must be present in the raw HTML.
✅ Structure your content clearly. Use schema markup (preferably JSON-LD) for blog posts, product pages, FAQs, and more.
✅ Control indexing with meta tags. Use to prevent unwanted pages from being indexed or cited.
✅ Monitor crawls. Check server logs and tools like curl or wget to confirm your content is visible to bots.
Head to Daydream for more.
Burning through $5K and seeing barely any clicks? Rising ad costs, shifting algorithms, saturated platforms… it’s rough out here.
To make your paid social spend truly profitable, focus on these three core areas:
#1: Pick the right platform. Not every platform fits every brand. Go where your audience is most active and most likely to engage. Start with a pilot across 2–3 platforms, allocating $500–$2,000 total to test engagement, CTR, and cost-per-result. Shift spend based on early traction.
#2: Upgrade your creative. If your ads aren’t stopping thumbs, they’re not working.
#3: Get smarter with targeting. Surface-level targeting isn’t enough.
Get the full insight at MarTech.
Cold lists can be brought back to life.
Instead of asking users to go through a gauntlet of reactivation steps (create password, verify email, log in, etc.), remove the barriers.
Here’s how to reduce friction and resurrect your zombie list:
🔑 Skip setup steps. Pre-create user accounts, include a one-click “Activate My Account” button in your email, and drop users directly into the live product, already logged in.
🧠 Reconnect the dots for them. Remind users specifically where, when, and why they signed up.
🎯 Focus on benefits. Ditch cleverness for clarity.
🚪 Offer an exit. Reduce friction and unsubscribes with a polite opt-out.
Check out how Atlas Privacy used this tactic to convert up to 12% of their cold leads at Marketing Ideas.
Whether someone’s asking Siri for a recommendation or typing into Google Maps, their journey to your business often starts on a digital map.
So, which platform should your business prioritize: Google Maps or Apple Maps?
Here’s why it matters:
✅ Improved local visibility: Most mobile searches are map-based.
✅ Enhanced customer trust: Accurate listings and reviews matter.
✅ Higher local SEO rankings: Google Maps feeds directly into search results.
✅ Increased foot traffic: Real-time directions drive real-world visits.
✅ Competitive edge: A complete, optimized listing makes your business stand out.
Here’s a quick breakdown:
So, which should you prioritize?
If you’re a local business trying to boost visibility, prioritize Google Maps for its SEO power and global reach. But don’t ignore Apple Maps—especially if your customers are iOS-first.
Best move? Optimize for both. It’s the digital equivalent of putting your sign on every street corner.
Head to Embed Social for more.
If you’re using A/B tests on Meta (Facebook, Instagram) to choose your winning ad creative, there’s a catch: you’re not running a true A/B test.
That’s the conclusion of a 2024 study by researchers at Southern Methodist University and the University of Michigan, which found that Meta’s algorithm skews delivery based on audience responsiveness, showing different ads to different types of people.
This means your test isn’t just comparing Creative A vs. Creative B. It’s comparing Creative A to one group of people and Creative B to another. And often, those audiences vary significantly—by gender, interests, or behavior—without your realizing it.
So while Meta is great at finding the most efficient combo of ad + audience, it’s not telling you which creative is objectively better. That’s a big deal if you’re trying to use those results to inform decisions beyond Meta… like what to run on TikTok, YouTube, or even in your email subject lines.
So, keep this in mind:
✅ Use Meta A/B tests only to optimize Meta campaigns.
❌ Don’t assume Meta results translate to other platforms or channels.
🧪 Run platform-specific tests—Facebook vs. TikTok vs. YouTube.
🗣️ Use surveys, interviews, or on-site tests to validate messaging or product ideas.
🔁 Use A/A testing to double-check the reliability of your results.
Test accordingly! Check out the research in the full post at Science Says.

Rich O'Donnell

Rich O'Donnell

Shannon Sankey

Rich O'Donnell

Rich O'Donnell

Rich O'Donnell

Shannon Sankey

Shannon Sankey

Ian David
