A self-updating intelligence layer for your CRM. Connect what you know about an account, its facilities, and the people inside them. As new evidence comes in, the system revises the account model, sends selected updates to your CRM, and gives yConversion’s outbound workflow the latest context.
built for industrial-facing solutions (eg. selling into Manufacturing, Defence, Aerospace)
A shared account modelIllustrative
01 / AccountIndustrial manufacturer
Programs, account pressures, and opportunity history
02 / FacilityAssembly Plant 01
Production lines, inspection workflow, and pilot scope
03 / ContactPlant quality engineering lead
Ownership, prior conversations, and open questions
Existing CRMCurrent account and facility context
yConversion outboundPriority, use case, and entry point
How it works
Set up the model. Keep it up to date.
An account record connects company context to what happens at each site and who owns the work. Each update carries its source and the scope it applies to.
Mode 01 / CRM data model
Build the account model.
Start from your CRM records, past calls, account notes, and facility research. Link the accounts, sites, workflows, and contacts so your team can reuse what it already knows.
01
Account. Business units, commercial history, and current priorities.
02
Facility. Processes, lines, operating constraints, and where a product might fit.
03
Contact. Responsibilities, prior conversations, and evidence behind the match.
Mode 02 / Continuous updates
Update what the evidence changes.
When a call, CRM note, or relevant public signal arrives, the model compares it with what’s already known about the affected site, workflow, or person.
01
Find the right record. Match the evidence to the account and the most specific scope available.
02
Reconcile the change. Confirm, revise, add, or retire an assumption. Keep conflicting evidence visible for review.
03
Reuse the updated context. Keep the source and prior version, then pass the current intelligence to CRM and GTM.
Illustrative walkthrough
What changes after one new call?
A facility looked like a candidate for manual inspection improvements. A technical evaluation call narrows the problem, identifies the pilot line, and gives the team a better question to ask.
“Lines 1 and 2 still check by hand. Line 3 is piloting vision for missed orientation errors, and I’m leading the review.”
Plant quality engineering lead · Technical evaluation call · Illustrative
Facility record
Version 1 / Before the call
Inspection workflow Assumed
Manual component verification likely at final assembly.
Inspection problem Assumed
Inconsistent inspection decisions across assembly.
Contact context Open question
Quality engineering is a potential owner. Pilot ownership is unconfirmed.
Packing workflow Stored
Barcode checks are used at packing.
CRM context
Manual assembly inspection is a working assumption. Confirm the line and who owns the review.
Outbound opening
“How does your team check component orientation at final assembly today?”
This example shows how new evidence revises specific fields. The previous record and source call remain available, and the packing workflow stays as recorded.
Existing accounts and new accounts
Start with the context you have.
The same structure supports an account you’ve worked with for years and a prospect you’ve just added to your list.
Existing accounts
Keep the history working for you.
Use prior sales calls, evaluation notes, and account records to reconstruct what each facility does, what’s been tried, and who was involved. New conversations refine that picture over time.
A rep preparing for a follow-up can see the open question, the right person, and the evidence that shaped both.
New accounts
Give research a place to grow.
Start with public signals, facility research, and likely ownership. Treat those early findings as working assumptions, then update them as replies and discovery calls clarify the account.
A prospect record can develop into a more detailed account model as you learn about individual lines, projects, and people.
Give models better context with each run.
For a known account, the model starts from the latest record and the evidence relevant to the question. Across accounts, the same call history can help refine product assumptions, model common workflows, and surface the words buyers use for a problem. A pattern can guide what to ask a new prospect. A claim about their facility needs evidence from that facility.
Where the intelligence goes
Your CRM and your next outbound motion.
Both use the latest account, facility, and contact context. Your team can see what changed and use it in the work they already do.
01 / CRM
Bring the current picture to the account record.
Map selected updates into the fields your team uses, such as facility conditions, stakeholder responsibilities, and open questions. Set which fields can update automatically and which go through review.
02 / yConversion outbound
Put new evidence to work in GTM.
The updated intelligence feeds yConversion’s existing research and outbound workflow. It can change which accounts and facilities to prioritize, where your product might fit, whom to reach, and which question belongs in an email or call brief.