What B2B Marketers Can Learn from Restaurant Marketing (with Jessica Serrano, CMO at Bagel Brands)
The Dave Gerhardt Show (from Exit Five)
Sales Hesitation Around AI Automation
Jessica discusses sales team resistance and reframing AI to free reps for relationship work, not replace them.
#334 | Dave is joined by Jessica Serrano, CMO at Bagel Brands (Einstein Brothers, Noah's, Bruegger's, Manhattan Bagel), for a conversation about what B2B marketers can learn from consumer restaurant marketing. They discuss why consumer and B2B marketing are way more similar than people think, how she’s using AI across her marketing and sales process, and her philosophy that her job is to ‘build brand over time and drive sales overnight.’ Jessica shares how COVID forced Dig Inn to rebuild itself as an e-commerce business, how she built a B2B catering sales motion from scratch using HubSpot and buyer personas, and how filtering work emails out of a consumer list became a real customer acquisition tactic. Listen to this episode to learn tactics that work whether you're selling bagels or software.
Timestamps
- (00:00) - Why a consumer CMO listens to B2B marketers (and vice versa)
- (03:33) - How COVID forced Dig Inn to rebuild as an ecommerce business overnight
- (06:55) - The math behind going after $500 catering orders vs. $15 walk-ins
- (10:33) - Building buyer personas for office admins, sports nutritionists, and universities
- (16:05) - Why Jessica switched from ChatGPT to Claude (and the breakthrough moment)
- (22:54) - Using AI for rapid product testing on a budget that wouldn't cover traditional research
- (30:06) - "Build the brand over time, drive sales overnight" and what that looks like at Bagel Brands
- (32:59) - Why you can't just copy a playbook from Taco Bell to Burger King
- (37:18) - The biggest lesson from working at brands with nearly 1,000 locations
- (40:46) - Google reviews as a source of truth for aligning marketing and operations
- (47:49) - Why organic-first content matters more in the age of AI and dead internet theory
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