Jay Nathan and Jeff Breunsbach get into the foundational data problem most SaaS teams are ignoring — and why it's about to become a crisis. If your data is siloed, your AI agents will be siloed too.

Plus: Jay introduces "Company as Code," a markdown-in-GitHub system for building personalized outreach and landing pages at scale — and why the same playbook applies directly to customer success.

KEY TAKEAWAYS

• Start with a customer master record: Before any AI agent can help you, you need a deduplicated view of your customer outside your CRM. Jay spoke with companies from 150 to 3,500 people this week — they all have the same problem.
• Company as Code: Jay is documenting personas, ICP definitions, and outreach styles as markdown files in a GitHub repo — one canonical version that every AI tool pulls from, updated by anyone on the team via pull request.
• Siloed AI = siloed data with a new wrapper: If your sales AI only sees sales data and CS's AI only sees CS data, you've rebuilt your silos with an AI layer on top. Fix the data first.
• Personalization is now just token costs: Custom landing pages, personalized emails, interactive surveys — what used to require massive investment is now a few tokens.
• Existing customers need outbound too: Just because someone's a customer doesn't mean they understand your product. Use the same personalization playbook to re-engage and educate your base.
• ABM belongs in Customer Success: Jay shares the "Spreading the FLU" story — a field-level understanding program that educated every influencer at top accounts. CS teams should run the same play.
• AI-powered upsell prioritization: Use Fathom recordings, emails, and Slack signals to surface the top 10–20 customers most ready for a new product — before sending a rep in cold.
• The CSP question is getting louder: "It's 2026. Do you need a customer success platform anymore?" Jay is hosting a webinar with two practitioners who built in opposite directions.

CHAPTERS

• 00:01 - Weekend updates
• 03:45 - Unifying customer data at Junction with BigQuery and Metabase
• 07:00 - Building a customer master record outside your CRM
• 10:10 - Why siloed AI is just siloed data with a new wrapper
• 11:48 - Company as Code: markdown files in GitHub as a single source of truth
• 14:45 - Personalized landing pages for prospects — and customers
• 19:00 - The risk side: when custom-built tools fall short
• 23:45 - Using Claude Cowork to research private companies via public comparables
• 27:00 - Applying outbound personalization to your existing customer base
• 29:00 - AI-powered upsell prioritization using call recordings and signals
• 33:00 - Spreading the FLU: account-based marketing applied to CS
• 35:00 - QPR as an interactive landing page for top accounts
• 36:45 - Webinar preview: Do you still need a CSP in 2026?

About the Show: Chief Customer Officer Podcast is a show about real strategies for customer-led growth in the AI era—from leaders actually executing, not just talking about it.

Your Hosts:

• Jay Nathan – CEO of Balboa Solutions and Co-Founder of ChiefCustomerOfficer.io
• Jeff Breunsbach – Head of Customer Success at Junction and Co-Founder of ChiefCustomerOfficer.io