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Data Stories

Under the Microscope / Research programme

Enterprise Sales

Better enterprise selling through a better understanding of enterprise buying.

Programme
10 questions
Publication status
2 experiments / 8 planned
Perspective
Sellers and buyers

First in the programme / 01

The Great AI Whitespace Trap

Is your biggest AI opportunity actually your worst territory?

A suspiciously confident VP, 100 account executives, and a map of everything that has not been sold. Test the assumptions against Eurostat evidence.

Enter the experiment

The CFO's Waiting Room / 02

Your Biggest Competitor Might Be the Customer's Next Use of Cash

What should a seller know before walking into the CFO's office?

Capex, dividends and buybacks already have appointments. Your vendor has 47 slides. A fictional visit to finance, real SEC cash-flow evidence, and a CFO briefing card.

Enter the waiting room

The buying decision, examined

Ten questions. A shared evidence standard.

The first experiment tests the AI whitespace myth; the second examines competing uses of the buyer's cash. A territory worksheet and CFO briefing card carry the evidence into practice. The other eight questions remain planned research.

  1. 01

    The Great AI Whitespace Trap

    Is your biggest AI opportunity actually your worst territory?

    Community output
    a shareable territory/readiness worksheet with reader-supplied assumptions and an exact 100-AE allocation. Scenario allocations are not revenue forecasts or account-level recommendations.
  2. 02

    Your Biggest Competitor Might Be the Customer's Next Use of Cash

    What should a seller know before walking into the CFO's office?

    Community output
    CFO briefing card.
  3. 03

    Whose Quarter-End Is It, Anyway?

    Do customers buy on their calendar—or ours?

    Planned community output
    buyer-calendar planner / expiry watchlist.
  4. 04

    The Incumbent Fortress

    How persistent are observable enterprise technology supplier relationships?

    Planned community output
    competitive-account research template.
  5. 05

    The Hidden Journey from Purchase Order to Payment

    Where does enterprise buying accumulate delay, exceptions and rework?

    Planned community output
    buyer-process discovery guide.
  6. 06

    The CIO Signs. Who Actually Chooses?

    Are software sellers overlooking the technical buying coalition?

    Planned community output
    champion-development and technical-validation worksheet.
  7. 07

    A Token Is Not an Outcome

    What does an AI workflow really cost to deliver successfully?

    Planned community output
    inspectable AI deal-economics calculator.
  8. 08

    Your AI Business Case Counts Hours. Your CFO Counts Cash.

    When does task productivity become financial value?

    Planned community output
    AI pilot measurement kit.
  9. 09

    Are Software Sellers Getting Less Productive—or Is the Business Model Changing?

    What can public financials actually tell us about commercial efficiency?

    Planned community output
    commercial-metrics decoder.
  10. 10

    What Should an Enterprise Seller Stop Doing in the AI Era?

    Which seller tasks are credible candidates for automation, augmentation or continued human ownership?

    Planned community output
    sales-work redesign canvas.

The research contract

What the evidence must not become.

Public data can sharpen a question about enterprise buying. It cannot reveal a named customer's intentions. The programme keeps observed facts, derived results and modelled scenarios distinct.

Adoption is not purchase intent.
Low usage does not establish a ready market.
Time saved is not cash saved.
Task performance and financial value require different evidence.
Procurement is not every enterprise sale.
Public awards describe a particular buying process, not the entire market.

Planned source families: official business surveys, procurement records, regulatory filings and open research. Vendor-neutral; no private customer or CRM data.

Eurostat US Census BTOS SEC EDGAR