Pecan AI

“My biggest question is whether it can live up to any of its promises. This gives off the vibe of an early-stage startup with one client and a couple of proof-of-concepts.”

In short, this homepage makes big claims but lacks the depth needed to establish trust and credibility.

In the latest edition of Do You Even Resonate?, we reviewed Pecan AI (suggested by Yanay Sela). We tested their homepage messaging with data analysts and data directors as the target audience.

Pecan AI gets several things right:

• The messaging is relatively clear about what the product does

• The company shows they understand the challenges faced by data teams

• The promise of simplifying predictive analytics for non-data scientists is a compelling selling point

However, its ClarityScore is 3.6/5, and the interest to learn more sits at only 3.3/5.

How can Pecan AI improve?

Since their audience is highly technical, the messaging needs to go deeper than high-level claims.

1. Narrow the focus and avoid vague, generic phrases like “drives business impact.”

“The description feels too broad. A more focused and detailed explanation is needed.”

2. Dive into the technical aspects behind the platform. This is a technical audience that requires more transparency and in-depth details.

“It’s lacking in specifics about how the platform operates and what machine learning methods it uses, which makes it seem like it’s in the early stages.”

3. Address skepticism directly, especially around bold claims. Automated data preparation, for example, is something the audience is likely to question.

• “I doubt they can fully automate data prep. Maybe partial automation, but this seems over-promised.”

• “I’ve used AutoML solutions before, and they rarely perform as advertised.”

• “How can Pecan deliver on all these use cases without requiring any coding or data science knowledge? That seems far-fetched.”

Watch the full video for details.

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