This is a lead generation focused podcast about a novel B2B sales follow-up strategy.

Summary of Podcast

Key Takeaways

1. Novel Follow-Up Strategy: A third-party "good cop" provides hyper-relevant value (e.g., podcast intros) to prospects, bypassing their AI-filtered inboxes and achieving 70–80% reply rates.
2. AI-Proofing Business: The strategy is designed to be AI-proof by focusing on human connection, a core element Adam believes AI cannot fully automate.
3. AI's Primary Blocker: Kevin identified legacy systems as the main barrier to AI adoption in finance, not resistance to the technology itself.
4. Podcast Book Opportunity: The podcast's 500+ episodes offer a rich source for an AI-assisted book, distilling key lessons and future-casting.

The Problem: Ineffective Sales Follow-Up

1. Standard "just checking in" emails are ineffective, especially with high-value prospects ($5M+ revenue) who use AI-powered inbox filters.
2. These filters learn to ignore senders after 2–3 unanswered emails, causing messages to be routed to spam.
3. Result: 66% of marketing-qualified leads are lost because they are not ready to buy immediately.

The Solution: A "Good Cop" Follow-Up Strategy

1. Adam's firm, SimpleWins.io, acts as a third-party "good cop" to maintain engagement with prospects outside the main sales cycle.
2. Process:
3. Web Listening: A team monitors public signals (news, podcasts, blogs) to identify a prospect's current, hyper-relevant goals.
4. Value Delivery: The team offers non-sales-related value aligned with those goals (e.g., podcast intros, affiliate partnerships).
5. Expert Positioning: The "good cop" builds a separate relationship, subtly reinforcing the client's expertise until the prospect is ready to buy.
6. Result: This approach achieves 70–80% reply rates, far exceeding the typical 0–20% for standard sales emails.

AI's Impact on Business & Automation

1. Adam's Perspective:
2. AI will automate most administrative tasks, creating "super soldiers" who manage large pipelines with AI assistants.
3. The core human element of understanding business needs will remain essential.
4. Adam is in a "race" to automate his own business, noting AI reduced a software development task from 3 months to 14 minutes.
5. Kevin's Perspective:
6. The main barrier to AI adoption in finance is legacy systems, not human resistance.
7. Integrating AI requires a major transformation, not a simple bolt-on.
8. AI enables advanced capabilities like continuous, multi-scenario forecasting (e.g., Monte Carlo simulations) that are impractical for humans.
9. The current focus in finance is on governance, data security, and fraud prevention.

The Next 100 Days Podcast Co-Hosts

Graham Arrowsmith

Graham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.

Kevin Appleby

Kevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com