The Chief Customer Officer Playbook for the AI Era   →

How to Use ChatGPT’s Deep Research to Drive Retention and Expansion

Watch the replay of the webinar for post-sale teams who want to make AI a part of their daily workflow, starting now!

Nearly 600 leaders joined me to learn how to turn ChatGPT’s Deep Research into a practical growth engine for post-sale teams. Here’s the playbook (framework, prompts, and a real example) you can apply to your accounts this week.

Budgets are tight, and planning cycles expect growth without headcount. That means leaders and CSMs need to show up more strategic, spot risk sooner, and find expansion plays earlier. AI won’t replace the human relationship, but it augments judgment and compresses hours of prep into minutes.

The AI POWER Framework For Post-Sale Teams

  • P – Personal leadership effectiveness: Use AI as a thought partner for strategy and decisions (even create a private GPT trained on your playbooks).

  • O – Outcomes: Drive retention and expansion (today’s Deep Research example lives here).

  • W – Workflow & efficiency: Auto-summaries, follow-ups, onboarding flows, and content drafts.

  • E – Enablement & skill: Onboard faster, upskill teams, explore industries, and best practices.

  • R – Relationships: More relevant, personalized customer engagement at scale.

Deep Research: What it is and when to use it

Deep Research is ChatGPT’s browsing mode that runs a multi-source investigation (news, sites, filings, reports) and assembles a referenced brief, like what a junior analyst would produce, so you can prepare for executive conversations, renewal planning, or board-level updates.

Use it when: you need a strategic read on a customer, competitor, or market theme and you want sourced insights you can share or adapt.

The 3-Step Playbook (Prompts you can reuse)

Scenario: You’re a CSM at Adobe Marketo preparing for an exec meeting with PayPal. Swap in your product and customer to run this for your accounts.

  1. Generate the research brief – Ask Deep Research for a structured analysis that covers:

    • Industry trends relevant to your product category

    • Company strategic initiatives, messaging, and business units

    • Hiring signals (new leaders, org shifts)

    • Recent reports, public statements, and competitors

    • Upcoming launches or events

  2. Create a 1–2 page executive summary – Refine the long brief into a skim-friendly memo: top trends, “what this means,” and 3–5 implications for your product’s value.

  3. Propose concrete expansion opportunities – Ask for specific cross-sell/upsell plays by business unit/use case, the why now, expected outcomes, suggested success metrics, and likely champions.

Pro tip: Standardize the output format (headings, bullets, metrics) so you can paste the result into your CRM/CS platform and compare accounts.

Case Study Highlights: Marketo → PayPal

A live example illustrates how the 3-step flow turns research into action:

  • Trends surfaced: multi-channel payments, personalization, rising acquisition costs, and intensifying competition (e.g., wallets and BNPL challengers).

  • Strategic initiatives: unified platform, omni-channel experiences, new revenue lines (e.g., ads), and merchant acquisition focus.

  • Business units mapped: Wallet (core), Braintree (processing), Venmo, credit/Pay-Later, and more, each with distinct marketing motions.

  • Expansion angles:

    • ABM + predictive content for merchant acquisition teams

    • Journey orchestration + analytics to unify messaging across Wallet/Venmo

    • Testing & personalization (e.g., Adobe Target) for conversion lifts on high-traffic flows

    • Reporting bundles that tie campaigns to revenue/retention KPIs by unit

The point isn’t the specific products, it’s the pattern: connect their priorities to your capabilities with measurable outcomes.

Will this work for SMBs or private companies?

Yes—while the briefs are richer for public companies, Deep Research still pulls useful signals from websites, job pages, local news, and ecosystem content. If sources are thin, supplement with:

  • Your own notes/meeting docs (paste as context)

  • Customer site maps and product docs

  • Third-party reviews/marketplaces for voice-of-customer clues

Human in the loop (and where to automate)

  • Keep the CSM/AM as the face of strategy and relationship.

  • Automate: research briefs, formatting, and first-pass opportunity lists.

  • Human-validate: nuance, politics, feasibility, and timing—then turn the best ideas into an account plan with owners and success metrics.

How to get started this week

  1. Pick 5–10 priority accounts.

  2. Run the 3-step prompt sequence for each.

  3. Drop the exec summary + top 3 opportunities into your CRM/CS records.

  4. Align with Sales/Marketing on owners, next meetings, and success metrics.

  5. Share wins internally; standardize the template; make it a monthly ritual.

Audience Q&A – quick hits

  • “Deep Research vs. normal prompts?” Deep Research runs a broader, sourced investigation. Use it when you need strategy-level context.

  • “Smaller companies?” Try it, you’ll still get value from sites, hiring pages, and local coverage.

  • “Other tools?” Explore focused point solutions (e.g., search, support, CS platforms) via short POCs, but avoid tool sprawl.

  • “Over-reliance on AI?” Treat it as a thought partner. You bring judgment; AI brings speed and breadth.

Download Rod’s free Prompt Sheet

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