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Section 11 · Pricing, Proposals & Closing

11.4Cross-sell detection

Designed for Phase 2
No.
11.4
DMA's reference
Decision Book p.24
Phase
Phase 2
Autonomy
L2 · Prepare, then wait for approval
DMA's decision
Yes

◆ Amended in v3 of the book.

What DMA asked for · Decision Book p.24

Spot extra services that really fit, instead of waiting for a rep to notice.

Why it matters to DMA: It raises the average deal size with little extra effort. DMA's book folds it into one revenue-expansion capability with upsell and renewals.

In our words, from DMA's Product Decision Book v3, page 24.

How we do it

  • DMA's book schedules this for Phase 2. The signal already exists: every account and chat records which of DMA's services fit what the prospect described (SEO, local, paid ads, reputation and more).
  • Designed flow: for current clients, compare the services they buy with the ones that fit; a strong gap becomes a suggested next action for the account manager, with the evidence, in the same revenue-expansion view as upsell and renewals.

Already in place

  • Service fit recorded per account and per chat ("fits several services" in the score).
  • The AI Service Lanes field written to Nutshell through the write gate.

What the later phase adds

  • A gap check for current clients (bought vs fits).
  • One revenue-expansion view with upsell and renewal signals.

The flow

It plays on its own while it's on screen; hover or use the controls to pause or step through.

Services that fitfrom notes and chatsServices boughtfrom NutshellGap checkfits, not boughtSuggested actionfor the account manager
Step 1 of 4

What fits

Local search, reputation and paid ads fit this client.

  • Stored data
  • Nutshell
  • Rule in code
  • Screen

Where the data goes

The same six stages on every page. Nothing reaches Nutshell except through the write gate.

  1. 1Nutshell and chats

    Source

    What's bought and what fits.

  2. 2Sync

    Copies Nutshell changes into the bridge database

    Mirrors products on deals.

  3. 3Bridge database

    A copy of the CRM data, plus what the AI works out

    Service fit per account.

  4. 4AI

    Claude models, only through DMA's own gateway

    Records fit from what was said.

  5. 5Write gate

    The only way back into Nutshell: checked, approved when needed, sent once

    Writes the AI Service Lanes field.

  6. 6Nutshell

    The system of record

    The account manager sees the suggestion.

The tables behind it

Drawn from the POC's database catalogue: structure only, no data.

ai.account_twinPKaccount_iduuidPKtwin_versionintegerrecord_class_codetexttiertextnbatextIDprompt_iduuid+ 10 more columns

PK primary keyFK reference the database enforces (solid line)ID reference kept by id (dashed line)

TableWhat it holdsColumns
ai.account_twinEach account's picture, including the services that fit.16
How the tables connect (1)
ColumnPoints toKept by
ai.account_twin.prompt_idagent.promptsThe application (by id)

Worked example

Synthetic demo data: every name, business and number is made up.

Designed behaviour for a synthetic current client.

Fits vs bought

ServiceFitsBought
Local searchYesYes
ReputationYes ("reviews are hurting us")No: suggest
Paid adsMaybeNo

In the running POC

There is no screen for this one yet: it is designed for Phase 2, as DMA's book decides. The parts listed under “Already in place” run in the POC today.

Status

Designed for Phase 2

Designed for Phase 2. DMA's book schedules this for Phase 2. The design is ready and builds on parts that already run in the POC.

11.4 Cross-sell detection · DMA AI proof