Episode 45: MarTech in the Age of AI

Season #1

Most B2B marketing teams are sitting on a bloated tech stack they can't justify. Tools bought to fix strategy problems. Duplicate capabilities nobody audited. AI features bolted onto legacy products that were already underperforming.

Jessica Fewless has seen it from the inside. As an early architect of account-based marketing and now as a partner at Inverter, she's helped operators untangle exactly this mess.

In this conversation with host Richard Ellis, she gets specific about what separates teams that get ROI from their MarTech from teams that just keep buying. How to evaluate tools when AI is making everything obsolete in 18 months. Why intent signals fail when you treat them like a list. What "AI-readable content" actually means before your competitors figure it out. And why the smartest move right now might be short contracts and point solutions you can swap out.

Chapters

00:00 MarTech Meets AI

02:13 Auditing Bloated Stacks

04:51 Use Cases And Workflows

06:53 Platforms Versus Point Tools

10:00 Core Stack Must Haves

12:25 AI Budget Pressure Reality

16:17 Avoid Long Term Bets

18:16 Measure ROI And Governance

19:42 Intent Signals In Context

22:12 SEO In The AI Era

25:09 Cut Waste Do More

25:53 Some Goodness And Wrap

 

Keywords

MarTech, marketing technology, marketing tech stack, tech stack audit, vendor sprawl, tool duplication, shiny new tools, strategy gaps, plugging holes with tech, lead quality, demand generation, use case, workflows, process design, governance, rules of the road, integrations, architecture, ROI, CFO scrutiny, budget pressure, boards, headcount reduction, scaling the wrong thinking, AI in MarTech, AI layering, AI native tools, legacy platforms, point solutions, best in class, comprehensive platforms, control, customization, Zapier, stitching tools together, CRM, Salesforce, data management, data quality, email marketing, database, webinar tools, website personalization, account based marketing, ABM, retention risk, positioning, messaging, stickiness, contracts, short term agreements, renewal evaluation, customer success manager, discrete metrics, intent signals, funnel stage, AI research tools, intent in context, website activity, buyer signals, static nurture, signal based nurture, always on strategy, personalization, orchestration, findability, SEO, GEO, AEO, AI indexing, Reddit influence, PR, authority building, top 10 lists, scannable landing pages, tech stack waste, consolidation, creativity, work life boundary

Soundbites

 

  1. "...beyond having a way to email your database and having your database, those are the two fundamentals. I kind of feel like everything's up for grabs after that.”

  2. "...go into it knowing that that technology might not be relevant three years from now and be okay with that. So don't sign a five-year contract, not that anybody, anybody signs five-year contracts. I wouldn't sign more than a one or two-year contract.”

  3. “There should never be a static nurture. There should only be a reaction to signals moving forward.”

  4.  “The average tech stack inside of a company is mind boggling.”

  5. “People were plugging holes in their strategy with technology.”

  6. “CFOs and boards and CEOs are saying, AI allows you to do more, so go do more with AI, and I’m going to shrink your tech budget as a result.”

  7. “Intent signals need to be combined with the rest of the data so you understand it in context.”