
Hosted by Speakerbox Media
A weekly podcast that explores topics like branding sales and marketing.
32 episodes · publishes weekly · latest 2023-02-22 · ~36 min/episode
Rank
#902
Substance
73.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#902 of 6182
Substance
Top 15%
outscores 85% of the index
B2B Growth Hacks ranks #902 on The B2B Podcast Index with a substance score of 73.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and guest caliber. The episode scores above average on specificity thanks to concrete benchmark data (192 days, 32 sessions, 5 contacts per account, 1 - 1.5x unknown phase multiplier) and a genuinely detailed product-launch anecdote with named people and real process steps. Named platforms and the manual free-tier experiment ground the conversation, though no third-party validation or customer-specific revenue figures are cited.
Averaged across 1 recently scored episode, with cited evidence.
The episode contains a handful of genuinely useful data points - 192-day average sales cycles, 32 sessions, the unknown research phase being 1 - 1.5x the known CRM phase - but the signal is diluted by extended host restatements, product promotion, and meandering tangents about podcasting. The insight rate is decent but not dense.
“from the first touch to an account being one, it took an average of 192 days, an average of 32 sessions”
“the unknown research phase would typically Be like one or uh, one and a half X of the known face”
Account-based attribution vs. individual-level tracking is a well-established category, and most of the arguments (ad platforms don't understand B2B, data silos between HubSpot and Salesforce, vanity metrics) are familiar territory for any practising B2B marketer. The device-vs-account framing adds slight novelty but the overall thesis is not contrarian.
“we have an average of five contacts per account”
“there's also big publicly traded companies that have an interested in making people spend more money on their platforms”
Hedebrandt is a legitimate practitioner - co-founder who previously managed a content team and has hands-on attribution data from thousands of accounts - but the appearance is substantially a product pitch for Dream Data, which limits depth and independence. Real operator experience surfaces in credible anecdotes but not at a scale or seniority level that would warrant a top-tier score.
“in my last job I went out and hired a content team of I think it was four people. Writer, a designer, videographer and a manager of that team”
“there was certain articles that we had written that six months later became deals that we won”
The episode scores above average on specificity thanks to concrete benchmark data (192 days, 32 sessions, 5 contacts per account, 1 - 1.5x unknown phase multiplier) and a genuinely detailed product-launch anecdote with named people and real process steps. Named platforms and the manual free-tier experiment ground the conversation, though no third-party validation or customer-specific revenue figures are cited.
“from the first touch to an account being one, it took an average of 192 days, an average of 32 sessions”
“we added a row that was called free. And when you click the free row, what would happen is you would literally just had an email pop up”
The host asks a couple of useful open questions (on product challenges, CEO buy-in) but repeatedly fills airtime restating what the guest just said, pivots to self-promotion for her podcast agency, and never challenges the inherent product-pitch framing or probes for failure cases or competitive weaknesses. There is no productive disagreement or meaningful follow-up pressure.
“Yeah, for sure. There's this idea, and I've heard it a lot more recently, this idea that we're looking at vanity metrics”
“I'm gonna throw one last thing in here today because I think it's important to say this. Obviously I'm in the podcasting realm”
First period on the Index - history builds from here.
1 scored on substance · 32 tracked in total.
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