A practical AI workflow episode that puts reliability ahead of complexity.
Demand Decoded frames AI as an operational tool, with the focus on repeatable workflows, clearer rules, and cleaner handoffs inside a business.

Blend
148 episodes listed below
B2B marketing measured against pipeline.
Demand Decoded treats B2B marketing as an operating system for revenue, not a collection of campaign tricks. Its episodes work through AI workflows, website strategy, conversion offers, PPC waste, and the handoff between marketing activity and sales outcomes.
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Demand Decoded is a working-session style B2B marketing show for teams trying to connect strategy to revenue. It is not built around marketing inspiration. It is built around decisions. The show repeatedly asks whether a tactic, page, workflow, offer, or metric is actually moving a buyer closer to pipeline. That gives the episodes a practical edge, especially when they take aim at common habits like optimising for lead volume, overvaluing new-logo acquisition, or assuming more conversions always mean better performance. Recent episodes make websites a central part of the growth engine. Demo requests, interactive demos, redesigns, positioning, high-intent conversions, and bottom-of-funnel paths are discussed as business choices rather than surface-level page changes. The show is especially interested in the gap between what marketing celebrates and what sales can use. That comes through in its treatment of conversion rate optimisation, where lower lead volume can be framed as a better outcome if the remaining conversions are more commercial and better aligned. AI is another major thread. The conversations move beyond one-off prompting into workflows, knowledge bases, digital twins, MCP interfaces, HubSpot data, customer history, brand context, and internal systems that can produce repeatable value. The tone stays analytical, but not detached. Dan, Phil, and Josh speak in a conversational rhythm that allows for restatement, correction, and concrete examples when an idea gets abstract. PPC receives similar scrutiny. Rather than treating paid search as a default demand-capture channel, the show looks at inflated spend, short-term pressure, wasted budget, and where money might work harder. The recurring question is simple: what is the business trying to make happen? From there, episodes usually move into process, measurement, buyer intent, and the next operational step. Agency examples and HubSpot sponsor segments appear often, so the listening experience can feel commercially framed. Still, the useful center is the discipline of tying B2B marketing activity to revenue outcomes. For marketers, CMOs, founders, and growth teams living inside long sales cycles, the show offers a blunt audit of what deserves attention and what is only producing motion.
Made for: Built for B2B marketers, marketing leaders, founders, and revenue teams who already understand the vocabulary of demand generation and want sharper operating choices. It suits listeners responsible for websites, pipeline, paid search, AI adoption, or sales-marketing alignment.
What sets it apart: The show stands out by treating familiar marketing tactics as revenue-system components rather than isolated best practices. Its strongest episodes connect website behavior, AI infrastructure, customer data, and sales outcomes in one practical frame.
Decode the secrets of successful B2B digital marketing with Demand Decoded, the podcast hosted by Blend, a B2B website and demand generation agency. Our show focuses on breaking the mould of traditional B2B marketing tactics, providing actionable insights that you can use to transform your marketing into a revenue-generating machine. With a team of experts from Blend as our main hosts, we delve into the latest trends and strategies to help you become a better marketer. We cover topics like:- Lead generation vs. demand generation- B2B marketing strategy- Digital marketing tactics- Creating demand- Marketing attribution- Ou...
Based on 4 episodes we listened to · September 2026
Demand Decoded turns B2B growth questions into concrete decisions about AI workflows, customer expansion, websites, and pipeline.
Demand Decoded follows B2B growth questions from marketing activity through to revenue. Dan and the other speakers reason through operating choices in conversational, often demonstration-led discussions, with attention to how websites, customer data, AI systems, and sales…
A demo request meets the meetings-booked column, and your victory lap gets rescheduled.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A practical AI workflow episode that puts reliability ahead of complexity.
Demand Decoded frames AI as an operational tool, with the focus on repeatable workflows, clearer rules, and cleaner handoffs inside a business.
Company knowledge matters most when AI can draw on it cleanly and hand that context to people and agents.
The episode treats AI as useful when it sits on top of a company’s own knowledge, not as a generic wrapper. Dan and Josh make that case by laying out a digital twin that can hold brand voice, curated content, podcast transcripts, HubSpot data, client emails, call summaries,…
Retention and expansion matter more once the base is already there.
This episode puts a common growth miss in plain view: teams chase new logos and leave the existing base underused. Dan and the guest keep circling the same practical numbers a new marketing lead should know early: acquisition cost, gross retention, net retention, and the value…
A practical case for treating demo requests as part of pipeline generation, not the finish line.
The piece treats the website as one link in a longer sales path, not a standalone win. It keeps the focus on how clicks, conversions, bookings, and held meetings only matter if they lead toward pipeline, and it keeps asking sales to keep pace with the demand the site creates.

Simon Owens interviews founders about the revenue mechanics behind their media businesses.

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AI-era marketing tactics from operators testing what works next.

Mark DeGrasse interviews agency and marketing operators on the frameworks behind their case studies.

Cory Cotten-Potter interviews B2B sales and marketing founders on AI's reshaping of pipeline generation.

Kristina Halvorson interviews content strategists about how the work actually gets done.
AI starts at the workflow level here.
Dan and Josh argue that off-the-shelf AI is not much of an advantage.
This episode compares the effectiveness of 'book a demo' versus interactive trials as bottom-of-funnel conversion offers for B2B websites.
Dan opens with a familiar complaint.
The hosts focus on demo requests and make the case that a website should be treated as part of the pipeline engine, where every click should help move toward a booked and held meeting if it is going to matter for revenue.
This episode explores why most PPC budgets in B2B marketing are wasted and provides strategies to fix inefficiencies while optimizing spending.
This episode features an interview with Aja Frost from HubSpot discussing their new Loop Marketing Framework, AI-driven email personalization, and practical applications for improving marketing strategies and conversion rates.
This episode explains common reasons why LinkedIn ads fail for businesses and provides actionable advice to fix them for better lead generation and revenue growth.