Post-Sale Revenue & Customer Growth
I'm a post-sale revenue and customer-growth operator who uses AI to scale account strategy, retention, and enablement.
This site isn't a portfolio of what I did. It's a demonstration of how I'd modernize that work with AI today — the same frameworks I built across 750+ partner accounts and enterprise distribution relationships, now running faster and smarter.
The frameworks are industry-agnostic. The results are real. They work in any recurring revenue business — SaaS, HealthTech, enterprise software, professional services.
"The frameworks I built at Showtime and MTVU still work. What's changed is the leverage: AI lets me run portfolio analysis, draft QBR narratives, model retention scenarios, and build enablement at the speed that used to require a full team. Here's what that actually looks like."
— Suzanne, VP / Senior Director — Customer Growth & Revenue
Four workflows from my actual account management practice — shown side by side with how I used to do them, and how AI transforms them. Every tool below runs live. Type your own data and see it work.
QBR prep meant two to three hours compiling notes from Salesforce, email threads, and call recordings. Then reformatting everything for the right audience — a version for the partner VP, a version for my internal leadership. Every quarter, for every Tier 1 account. High value, high friction.
Paste messy notes. Hit run. Get a structured executive brief with wins, risks, partner asks, and recommended next steps — in the right format for the right audience. I spend the saved time on the actual conversation, not the prep for it.
Every major partner launch required separate pre-alignment conversations with Legal, Finance, Product, and executive sponsors — each with their own framing and priorities. I'd spend a full day writing four different versions of the same brief, then schedule four separate alignment calls before the GTM kick-off could happen.
Write the core brief once. Run it through the translator. Legal, Finance, Product, and Executive versions appear simultaneously — each framed in that function's language, leading with what they care about. Four conversations pre-prepped in the time it used to take to write one.
At-risk accounts showed up in the renewal pipeline as surprises — by the time the number moved, you had weeks, not months. I learned to read early signals manually: slower email responses, reduced promo placement, mid-cycle contact changes. But it required deep familiarity with each account and intuition built over years. Not scalable across 750 campuses.
Feed in the six signals I've learned to watch. Get a ranked risk analysis, an intervention rung assignment, specific talking points, and — critically — what not to do. The intuition I built over 15 years, now running across an entire portfolio simultaneously.
Identifying expansion opportunities in an account meant reviewing their product catalog, their customer base, our contract, and our competitive landscape — then building a business case that made sense in their language. Good strategic thinking, but slow. It required deep prep before every QBR and strategic account review.
Paste in the account profile — what they sell, who their customers are, what we currently have in place, and what's missing. Get a prioritized whitespace analysis with competitive risk flagged and a specific sequence for how to bring each opportunity into the conversation.
The tools above aren't magic — they're battle-tested operating frameworks, now running faster. Here's the thinking underneath each one.
Subscription revenue through strategic relationships. Portfolio management. Signal reading. Cross-functional alignment. What's changed is the leverage — running them at a speed and scale that used to require a much larger team, and showing my work while I do it.
Showtime Networks · Paramount Global · MTV Networks / Viacom · Starz