Today’s conversation with Clint Dunn is a deep dive into arguably the most important business metric out there: customer lifetime value. Clint is the founder of Wilde.ai, an early-stage SaaS startup that delivers customer LTV predictions directly to your data warehouse. In our conversation, Clint explains how having a fine-grained, customer-level understanding of LTV can help businesses make profit maximizing decisions across all major business functions. We also discuss the pros and cons of “warehouse centric” architecture, and how Wilde achieved profitability without building a user interface.

Links:
- https://wilde.ai/

Timestamps:
00:00 Introduction
02:33 Longing to start a company, gained experience.
03:48 Data world challenges, building a repeatable company.
07:36 Integrated data workflow with transparent, adaptable infrastructure.
10:16 Maturity curve, finance team, LTV, profitability, personalization.
16:10 Query on fitting Wyld into marketing and data.
17:58 Phone call discusses human capital limitations in marketing.
20:42 Building content around holistic customer understanding is crucial.
24:00 Managing data inputs for standard retail processes.
29:49 Transparent model with proof of effectiveness.
34:16 Data can be seen as helpful but controlling.
39:23 Data leaders navigating build vs. buy dilemma.
40:23 Unbiased training, DIY versus wild sales, LTV importance.
45:01 Challenges with data modeling and actionability.
47:05 Improving tools, native apps key for growth.

Tune in and gain valuable knowledge about the power of data analytics in shaping the future of businesses. Do not forget to rate or review on your favorite platform!