Episode 010 • March 19, 2026

Listen on: Spotify | Apple Podcasts

Build the customer master record before you build anything else. Jay spoke with companies ranging from 150 to 3,500 employees this week and heard the same story at every size: siloed data, duplicate records, and no unified view of who the customer actually is. His prescription — don't wait for the multi-year CRM consolidation. Build a deduplicated customer master outside your CRM now, with pointers to every system where customer data lives.

Company as Code. Jay is storing his company's personas, ICP definitions, and outreach templates as markdown files in GitHub — one repo, one source of truth, updated by anyone via pull request. The key insight: historically a persona lived in a slide deck that the CS team read once and interpreted their own way. Now every tool and every team pulls from the same canonical definition.

Siloed AI is just siloed data with a new wrapper. Jeff makes the point directly: if your sales AI only sees sales data and your CS AI only sees CS data, you've recreated your data silos with an AI layer on top. The only real fix is fixing the data layer first — before the agents, before the automations.

Personalization is now just token costs. Custom landing pages, hyper-personalized emails, interactive qualification surveys — these used to require significant investment. Now the constraint is building the right markdown files and personas. Jay and Jack built a fully personalized, interactive landing page workflow in a single afternoon.

Treat your customers like prospects. Just because someone is a customer doesn't mean they understand your product or know your full offering. Jay makes the case for using the same outbound personalization playbook — custom pages, targeted messaging, value reminders — to re-engage and educate the customer base. It's dramatically cheaper than it used to be.

ABM belongs in Customer Success. Jay shares the "Spreading the FLU" story — a field-level understanding program from a prior company that systematically worked through every influencer at every top account. CS teams should be running the same play for their top 10–20% of revenue-generating customers. Most aren't.

AI-powered upsell prioritization. Jeff describes using Fathom call recordings, emails, and Slack signals to surface the top 10–20 customers most likely to need a new product — before sending a rep in cold. The idea: let AI do the signal-reading so CS can show up with context, not guesses.

The CSP question is getting real. Jay is hosting a webinar this week — "It's 2026. Do you need a customer success platform anymore?" — featuring Miranda Decowski (a three-time CSP customer) and Ziv Pellid (who built everything in-house). Jay's own take: "I don't need multiple CRMs. That's the antithesis of everything we just talked about."

BigQuery – Google's cloud data warehouse, used at Junction to centralize customer data from multiple sources

Metabase – Open-source BI tool for querying and visualizing data

Plan Hat – Customer success platform Jeff's team uses at Junction

Salesforce – CRM; Jay discusses the challenge of consolidating multiple instances post-acquisition

Pendo – Product analytics tool for tracking in-app telemetry and user behavior

Amplitude – Public product analytics company; used as a market comparable for private competitors

GitHub – Code repository; Jay stores markdown persona and ICP files here as part of "Company as Code"

Clay – Data enrichment and personalization platform; early pioneer of personalized landing pages

Fathom – AI call recording and summarization tool

Claude / Claude Code / Claude Cowork – Anthropic's AI tools, used throughout for personas, landing pages, and company research

Balboa Solutions – Jay's consulting firm, built on Claude Code

EP008: Cut Your Own Prices Before Someone Else Does — The self-disruption thesis: why SaaS companies need to move before AI does it for them. Pairs directly with this episode's data-layer argument.

EP006: The SaaS Shift — What We're Actually Building with AI — Jay and Jeff on the AI tools they're actively building with, including early MCP workflows and the Balboa GPT.

EP005: Building Predictive Customer Success with AI w/ Justin Chappell — Justin Chappell on moving from reactive to predictive CS — and the data infrastructure that makes it possible.