Everyone’s preaching GO BROAD

🔁 But broad targeting isn’t a strategy. It’s just a setting, and more

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🔁 Broad Targeting Isn’t a Strategy. It’s Just a Setting.

Every media buyer on LinkedIn is saying the same thing right now. Go broad. Trust the algorithm. Let Meta do the work.

And they’re not wrong. Broad targeting works. The problem is what happens after you turn it on and walk away.

Meta’s job is to find the easiest person to convert. Not the best person. Not the most valuable person. The easiest. And in most accounts, the easiest person to convert is someone who already knows the brand, already visited the site, already engaged with an ad three times this week.

They’re warm. They’re cheap. They look great in the dashboard. They’re also not new customers.

This is the part nobody’s talking about. When you go broad without separating your audience segments properly, you don’t get a machine finding new customers at scale. 

You get a machine recycling the same familiar faces while your cold audience barely sees you at all. Two accounts audited recently told the whole story:

  • One had customers hitting 100+ ad touchpoints in 30 days

  • The other was sitting at 40

  • Both had the same budget. Almost zero new customer acquisition to show for it.

The algorithm wasn’t broken. It was doing exactly what it was built to do.

Here’s what changes everything. Meta needs to know, explicitly, who is new and who isn’t. Not assumed. Not hoped. Explicitly told. When your audience segments are set up with clear separation between net new, engaged, and existing customers, three things happen:

  • The algorithm stops recycling and starts prospecting

  • Frequency numbers across each segment start making sense

  • Budget that was quietly feeding warm audiences starts reaching people who’ve never seen the brand before

Broad targeting with clean segmentation behind it is a completely different machine than broad targeting without it. One finds new customers. The other just finds the same ones again.

So before the next conversation about creative strategy, campaign structure, or what Andromeda is doing to your account, pull the frequency breakdown by audience type for the last 30 days. New customers, engaged, existing. Look at the numbers.

If they’re close to each other, the algorithm isn’t prospecting.

It’s recycling.

And no creative strategy in the world fixes a distribution problem that was never set up correctly in the first place. 

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🚀Quick Hits

📐 X introduces 4:5 and 2:3 aspect ratio options for in-stream ads, letting advertisers repurpose creatives from other platforms without reformatting, aiming to attract more ad spend amid declining revenue.

🛍️ Instagram creators are frustrated with Meta's AI-powered "Shop the Look" feature, which auto-tags posts with product matches they don't endorse, potentially undermining brand deals and audience trust.

🔍 ChatGPT's ad ecosystem is expanding, with brands like Best Buy and Expedia appearing in responses. Analysis of 1,500+ prompts reveals commercial intent keywords like "best" and "new" trigger most placements.

🌐 The U.S. e-commerce market hit $1.38 trillion in 2025, ranking second globally behind China's $3.45 trillion. With only 16% penetration, significant growth potential remains across untapped categories.

💪Tweet Of The Day

🪩EVENTS

⚡ When Good Enough Gets Expensive

March 10–11 | Virtual Event

If your site feels “fine” but conversions lag, speed might be quietly taxing your growth. At Cloudways Bootcamp, experts tear down real production websites live, exposing performance leaks from heavy scripts to Core Web Vitals failures and server gaps. Eight sessions, 20+ speakers, and 1,500+ operators focused on fixes you can implement immediately.

📊 Where AI Gets Tied to the P&L

March 5 | 11 AM - 6 PM ET | Virtual Event

If AI is not moving revenue or margin, it becomes overhead. Hear Diane Igoche, Director of Agentforce Governance at Salesforce, and Brice Challamel, Head of AI Strategy and Adoption at OpenAI, break down how teams design initiatives that drive adoption and measurable business impact.

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