The Chief Customer Officer Podcast

Jeff just shipped an internal CS platform to his team at Junction, imposter syndrome and all. He and Jay unpack what it means when software is effectively free: CS teams prototyping features before product gets to them, ops becoming the AI team, and why every agent needs an interface that isn't a chat window.
KEY TAKEAWAYS
Ship before it's perfect: Get the tool in people's hands. Broken things surfaced fast, and cross-functional ideas followed.
Software is the new spreadsheet: Nobody is self-conscious showing execs a spreadsheet. Custom apps are heading the same way.
Prototype the roadmap gap: CS and a solutions engineer can get a deprioritized feature 70-80% built, then hand it to engineering.
Every software company becomes an FDE org: As packaged software loses value, the edge is tailoring the last 20% to each customer.
Make AI visible: A "How I AI" channel of real screenshots and skill files shows people what's possible.
Ops is the AI team: Ops should run ahead, building tooling and data plumbing AI first.
Less instruction, better outcomes: Clear intent beats over-specification with AI and with people.
The Ship It list: If you do it more than once a week, it goes on the list. A Friday tiger team tries to ship one in an hour.
Every agent needs an interface: Humans need a purpose-built harness to review agent output and act, with a high bar for what reaches them.
CHAPTERS
00:00 - Intro and the Q4 crunch
00:55 - Jeff ships an internal CS platform
03:34 - Is a custom app the new spreadsheet?
04:15 - Building features product won't get to this quarter
06:40 - Forward deployed engineering and "software is free"
09:01 - Owning the last 20% for customers
10:16 - An AI-first mindset and a "How I AI" channel
12:42 - Why ops should be the AI team
13:44 - Two-sentence prompts
15:35 - Less instruction, better outcomes
17:41 - The Ship It list and Friday tiger team
19:05 - Every agent needs a custom interface
23:03 - Raising the bar on what reaches humans
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

Most product companies don't have a shipping problem. They have a problem turning what they ship into money. In this solo episode, Jay Nathan, CEO of Balboa, breaks down product success: the loop that connects building, launching, adopting, and renewing, and the 5-step method his team uses with 200+ clients.
KEY TAKEAWAYS
Goals aren't strategy: "Grow 30%" is a goal. Good strategy has a diagnosis, a guiding policy, and coherent actions.
Name the real problem: Year-one churn usually means customers never activated. Diagnose first, then act.
Find your Herbie: Every system has one constraint. Improvements anywhere else are the illusion of progress.
AI moved the constraint: Engineering is no longer the bottleneck. Adoption, enablement, and selling are.
Product success is a loop: Market needs, launch and release, adoption, and customer lifecycle feed each other.
Departments are the problem: The loop works when teams share one view of the customer and one strategy.
Segment before you solve: A grid of segments by product turns "adoption is low" into a specific, fixable gap.
Climb the measurement ladder: Signals feed leading indicators, then lagging indicators, then KPIs tied to the P&L.
ABOUT YOUR HOST
Jay Nathan is CEO of Balboa, which helps product, CS, and go-to-market teams turn product data into growth. He has led CS and go-to-market teams for 20+ years. Connect with Jay on LinkedIn
CHAPTERS
00:00 - Why shipped software doesn't turn into money
01:29 - Good Strategy, Bad Strategy primer
02:24 - Four signs of bad strategy
03:47 - The kernel of good strategy
05:19 - Example: fixing year-one churn
08:51 - Patterns from 200+ Balboa clients
11:57 - The Goal and finding your Herbie
15:59 - AI moved the constraint to adoption
17:03 - Defining product success
19:02 - The product success loop
24:40 - Why departments are the problem
25:20 - The Insights to Impact method
26:45 - Step 1: Segmentation
30:58 - Step 2: Prioritization
33:59 - Step 3: Strategy definition
35:57 - Step 4: The measurement ladder
38:35 - Step 5: Deploy, measure, iterate
40:16 - Beyond product analytics
42:19 - This week's challenge
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

Jeff is back from Junction's Portugal offsite with a reminder: most of your company knows far less about your customers than you think. Jay and Jeff dig into pushing customer insight into the business, why AI-built internal tools are now table stakes, and what Salesforce's reported $2B Listen Labs deal says about AI talking to customers.
KEY TAKEAWAYS
Your company doesn't know your customers: A half-day "who are our customers" session gave engineering a clearer view of how the product is actually used.
Push beats pull: A Slack channel of customer quotes builds context but rarely drives action. Shadowing rotations, all-hands stories, and planning meetings do.
Make insight capture a button press: Summarize calls daily and let CSMs approve what becomes a ticket, with a human in the loop.
Internal tools are table stakes: Anyone can build them now. Alignment, strategy, and consistent communication from a leader are the differentiator.
People stop reading AI: Jay cites a stat that 78% of readers quit when they detect AI, and most never come back. That includes agent-sent job applications.
Weeks of work in minutes: Jeff built an interactive segmentation and account-transition tool in under 10 minutes. Rolling it out is still human work.
Enterprise AI deployment is the opportunity: Agent-to-agent work gets complicated fast at scale, and public-company CEOs will soon face pressure to prove adoption.
CHAPTERS
00:00 - Intro and Jeff's Portugal offsite
01:45 - A half day on "who are our customers"
04:09 - Operationalizing customer insights
05:10 - Call-to-ticket workflows and all-hands rituals
07:32 - The customer quotes channel and finite attention
10:10 - Push vs. pull and shadowing rotations
12:07 - AI is just technology: the factory robot lesson
13:38 - Junction's company-wide support rotation
15:05 - Leadership is the differentiator
17:49 - The 78% stat and agent-sent job applications
20:32 - Building a segmentation model in minutes
22:01 - The future of customer success
23:24 - A tool for CSM-to-CSM account transitions
25:37 - Salesforce acquires Listen Labs
27:50 - The harness race and the work/home AI divide
30:14 - What personal AI assistants actually cost
32:15 - Would you talk to an AI moderator?
33:44 - Agents as necessary friction
34:53 - Agent-to-agent work and enterprise AI deployment
37:04 - Wrap-up and The Goal
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

Ziv Peled, Chief Customer Officer and Chief AI Officer at AppsFlyer, joins Jay to unpack how a $500M+ ARR company moved everyone to Claude, built its own AI stack, and now measures every role by "AI leverage." Plus: why Salesforce should resell Claude, and why FDE really means net dollar retention.
KEY TAKEAWAYS
Everyone is a builder now: Building isn't writing software. It's workflows, skills, and automations, and leaders have to be hands-on to know what their teams need.
Work 24/7 without working 24/7: Split work between you and AI, keep agents busy around the clock, and step in for a quick eval when a human is needed.
Agents from a central place: AppsFlyer built an MCP, semantic layer, and data lake over 29 data sets so 800 people inherit agents instead of each building their own.
Classifiers power automation: Fast, cheap, typed models make agent decisions like routing a customer request reliable in under a second.
Build near the system of record: Own your Salesforce, NetSuite, and billing developers. Buy at the application layer.
FDE is NDR: Forward-deployed engineering isn't professional services. It's about outcomes the customer judges, tied to retention.
Measure AI leverage: If an SDR goes from 5 to 10 meetings a month, that's 100% leverage. Measure end-of-funnel, quality KPIs.
ABOUT OUR GUEST
Ziv Peled is the Chief Customer Officer and Chief AI Officer at AppsFlyer, where he leads AI strategy across go-to-market while guiding a 170-person CS org. He previously served as VP Product and CCO at AppsFlyer. Connect with Ziv on LinkedIn
CHAPTERS
00:00 - Catching up: Israel's tech moment
06:08 - AppsFlyer's strategic investment from Meta, Google, Moloco, and Unity
07:04 - From CCO to Chief AI Officer
09:45 - Why every leader needs to be a builder
10:13 - Assistants vs. automation and the new adoption curve
13:24 - Multiplayer AI for teams
15:14 - Inside AppsFlyer's internal AI stack
19:56 - Splitting time between CAIO and CCO
22:53 - The 24/7 mindset and human-in-the-loop evals
25:44 - The AI budget equation
27:01 - Teaching people to think like designers
29:57 - Classifier models and go-to-market use cases
34:59 - Build vs. buy
39:08 - Salesforce, Anthropic, and the GRR play
44:33 - The value era for customer success
46:07 - The sewing machine story
48:07 - FDE is net dollar retention
52:25 - The AI leverage scorecard
54:52 - Goodhart's Law and wrap-up
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

Jay and Jeff dig into why Harvey went from SaaS to AI implementation, why agent infrastructure has to be a company-wide investment, and why the personal-agent wave is a platform war, not an app war. Then they get honest about AI writing: 78% of readers stop reading when they suspect AI wrote it.
KEY TAKEAWAYS
Paid AI is still niche: A16Z data shows only ~3% of US consumers pay for AI themselves, but the youngest buyers adopt at 4x the rate of the oldest.
SaaS to AI implementation: Harvey went from app to harness to its own models, and now deploys that know-how inside clients as forward deployed engineering.
Centralize agent infrastructure: When every department builds its own agents, context fragments. CS, support, product and engineering should share one customer brain.
No plumbing, no agents: Messy CRMs and unused data warehouses mean you often have to build the infrastructure before agentic work pays off.
Platform war, not app war: Most personal agents look the same. You'll buy into ecosystems (Meta, Amazon, Google, Apple) based on where your data lives.
Don't use the words it suggests: LLMs write in magazine headlines and encourage your first-draft impulses. Readers sense you've become "artificially flavored."
Readers punish AI writing: 78% stop reading suspected AI content and 71% avoid the author going forward.
Use AI as researcher and editor: Let it gather sources, opposing views and data, then write yourself. Save generation for templated assets built from verified sources.
CHAPTERS
00:00 - Welcome and AI in high school
01:38 - Only 3% of consumers pay for AI
04:19 - Meta Muse negotiates on Facebook Marketplace
06:30 - Harvey's shift from SaaS to AI implementation
10:59 - Why agent infrastructure should be centralized
13:19 - You're never that far behind
14:11 - Selling agentic work without the plumbing
14:53 - Tool FOMO: Instinct, Town and Muse
17:27 - A platform war, not an app war
20:01 - Jay goes back to writing on his own
23:28 - Two rules for writing with LLMs
25:38 - Readers abandon AI-written content
28:03 - AI for research, not writing
29:48 - AI slop in client presentations
31:19 - Claude in Slack and trusting AI messages
32:18 - Branded two-pagers in seven minutes
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