AI-driven revenue systems for SMB & mid-market
Revenue systems that reveal which messages, channels, and sequences actually drive sales — so teams can stop guessing and double down on what works.
What this delivers
Clarity on what actually creates revenue
- A clear view of which campaigns, messages, and touch patterns actually create pipeline and revenue in the business.
- A simple, repeatable revenue playbook: who to contact, how often, on which channels, and with which offers.
- A practical way to redeploy time and budget from low-impact activity into the few actions that reliably move the needle.
Process
How it works
- 1Connect the dots — Data is pulled from existing CRM, marketing, and operational systems (without a heavy IT project).
- 2Map real journeys — AI is used to analyze actual touchpoints across email, SMS, calls, visits, and content.
- 3Find the signal — Patterns that correlate with closed-won deals, larger deal sizes, and repeat purchases are identified.
- 4Build the playbook — Insights are translated into a practical, testable revenue system the team can run every week.
About
Jim Edgett
Jim Edgett builds AI-driven revenue systems for small and midsize businesses that are tired of guessing what actually works. Instead of more dashboards and generic “customer experience” talk, his work focuses on a single question: which messages, channels, and sequences truly drive revenue in this business.
Drawing on 20+ years leading CRM, loyalty, and revenue-focused customer strategy at brands such as GameStop, IBM, Salesforce, and Omnicom, he combines enterprise-grade rigor with the pragmatism of local and early-stage operators.
Recent projects span AI product development for a transformation-focused book platform and full-funnel buildouts for an artisan bakery, including marketing and sales funnels, production-capacity dashboards, and integrated CRM campaigns.
Across these contexts, the through-line is consistent: use AI and real operational data to map actual buyer journeys, identify the small set of touch patterns that correlate with closed-won deals and repeat business, and translate those findings into simple, repeatable revenue systems that teams can run every week.
Writing
Latest thinking
Why Most Revenue Dashboards Lie to You
Dashboards show activity, not causation. Here's how to tell the difference — and what to measure instead.
The 3-Touch Pattern That Actually Closes Deals
After analyzing thousands of touchpoints across SMB sales cycles, one pattern keeps showing up.
AI for Revenue Teams: Skip the Hype, Start Here
Most AI advice for sales teams is backwards. Start with your data, not a tool.
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Request a Revenue Patterns Review
Share a few details about the business and current go-to-market efforts. A short response will outline where analysis would start, what data is needed, and whether this engagement is likely to be a fit.