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CHARLOTTE SARGEANT

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Creative or Data? The Truth About What Really Drives Ad Performance | Ft. Charlotte | WMH | Ep.10

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Host

SZADIL

Guest

CHARLOTTE SARGEANT

In this episode of Adil Talks, host Syed Zurriyat Adil sits down with Charlotte, a paid social ads expert and agency owner. They discuss the massive shift in Meta (Facebook/Instagram) advertising, moving from technical “media buying” hacks to a world where creative strategy and deep audience psychology are the only ways to win in 2025.

Five Key Points

1: The Death of the “Technical” Media Buyer: Charlotte explains that Meta’s algorithm has become so automated that technical tricks—like specific bidding strategies or interest targeting—don’t move the needle anymore. Meta is now a “creative-led” platform where the algorithm finds your audience based on the content of your ad, not the settings in your ad manager [03:54].

2: Andromeda and the Demand for Diversity: With Meta’s “Andromeda” updates, the algorithm is demanding much higher volumes of creative. Simply changing a background color from blue to red isn’t enough; the AI now recognizes those as the same ad. Success requires “creative diversity,” meaning totally different visual styles and messaging hooks to reach different segments [06:08].

3: The ACES Strategy for Reliable Ads: Charlotte uses a specific framework to avoid “throwing spaghetti at the wall”:

A (Audience): Deep psychographic research (pain points, emotions, identity).

C (Concepts): Using tried-and-tested formats like “Us vs. Them” or “Benefits Callouts.”

E (Execute): Launching and getting clean data.

S (Systematic Testing): Using data points to iterate rather than relying on “gut feelings” [16:08].

4: Micro-Personalized Messaging: Broad ads are failing. Instead of saying “get rid of pet smells,” Charlotte suggests being hyper-specific: “Does your dog keep peeing on the rug?” or “Got a stain on the sofa you were going to throw out?” This micro-segmentation helps the algorithm match the right product to the right person [07:12].

5: Data-Driven Creative Strategy: Charlotte, being a self-described “analytical person,” uses custom GPTs to analyze customer testimonials. By counting how many times specific pain points are mentioned, she can mathematically determine which hooks to write. This bridges the gap between the “left-brain” (data) and “right-brain” (creative) worlds [22:51].

Final Takeaway

Stop trying to “outsmart” the Meta algorithm with technical settings and start trying to understand the human on the other side of the screen. In 2025, your “ad manager” is effectively your “creative strategist.” If you don’t know the exact emotional triggers and pain points of your audience, even the most innovative AI-generated video won’t convert them.

Podcast Transcript

[01:53] Adil: Hi Charlotte, how are you?

[01:56] Charlotte: Hello! I’m very well, thanks. How are you?

[02:08] Charlotte: It’s been a hectic week. I find business goes in peaks and troughs—sometimes everyone reaches out at once and it’s crazy, and other times it’s really quiet. I’m excited for a glass of wine tonight!

[03:03] Adil: You have a strong stance that 70-80% of advertising success is now down to creative. Can you dig into that?

[03:19] Charlotte: My background is media buying, but Meta is making it as easy as possible to take people’s money. Automations and broad audiences now work better than interest targeting. The place you win now is creative that truly understands the audience. The glory days of “rubbish product shots” making a high ROAS are over.

[04:34] Adil: I have clients who are slow to make videos, so I’ve started using AI avatars. But it’s hard because some “text-to-video” tools are still quite terrible.

[05:53] Charlotte: It’s about to get much more difficult. Andromeda is demanding much higher volumes of creative. Small iterations, like changing a background color, don’t work anymore. You need diverse messages and visuals to see success.

[08:44] Adil: I’ve noticed that too. Clients are often lazy with groundwork, which is why I tried AI, but AI content can become very cliché and broad if you aren’t careful.

[09:13] Charlotte: The challenge isn’t just making the creative; it’s knowing what to say. People don’t buy “Post-it note ads” because of the Post-it note—they buy because of what is written on it. You have to understand if you are talking to a mom, a student, or a luxury shopper.

[11:12] Adil: Meta policies have also gotten stricter since August. I’ve had ads rejected for “discriminatory policies” even when they were fine for years.

[12:12] Charlotte: There have been so many glitches lately, especially leading up to Q4. Meta always starts changing things at the most stressful time for e-commerce. It’s part of the “fun” of operating in Meta’s sphere.

[13:21] Adil: It’s frustrating. If a creative gets rejected, you can’t just fix it in the same ad; you often have to build a whole new campaign or ad set just to get it approved.

[14:13] Charlotte: It’s so inefficient. The amount of clicks it takes to just launch one ad—saying “no” to site links, “no” to creative enhancements—it’s insane.

[16:08] Charlotte: That’s why I use the ACES method. ‘A’ is for Audience (psychographics, not just demographics). ‘C’ is for Concepts (using tried formats like us-vs-them). ‘E’ is for Execute. ‘S’ is for Systematic testing.

[19:03] Charlotte: You don’t need to reinvent the wheel. Use storytelling frameworks like PAS (Problem, Agitate, Solution) or AIDA. They exist for a reason.

[20:42] Adil: Sometimes innovation helps, though. I saw an anime-style COVID message in my country that went viral because it was so different from the “government style” messaging.

[22:33] Charlotte: Innovation is great, but it can be expensive. I suggest testing super innovative ideas in “organic” first. If it works there, then pump ad spend behind it.

[22:51] Charlotte: I use custom GPTs for testimonial analysis. I look for what customers are actually saying and score their pain points. It’s a “creative strategy for media buyers” because it uses an analytical mind to find creative ideas.

[25:42] Adil: Thank you so much, I learned a lot. This is why I do this podcast—to learn from experts like you.

[26:10] Charlotte: I really appreciate you inviting me on!

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