Sales history becomes a specific customer profile
Instead of basing segmentation on intuition, AI compares the companies, contacts and results recorded in the CRM.
Customers, deals and results
The CRM export covers companies, contact roles, event type, enquiry value, deal stage, outcome and returning customers.
Profile of the most promising company
AI identifies recurring characteristics of valuable relationships and the data missing for a reliable assessment.
- company characteristics and relevant roles
- typical needs and events
- criteria for lead generators
Common characteristics of valuable relationships
The module segments customers by company characteristics, needs and purchase history, then compares won, lost and returning relationships.
Segments customers
Organises companies by industry, size, location, needs and purchase history.
Compares results
Compares won, lost and returning relationships without hiding gaps in the data.
Creates criteria
Turns insights into a profile that other outbound tools can use.
How is the target customer profile created?
Connect the data
AI gathers customer, company and deal history from the CRM.
Organise characteristics
It standardises industries, contact roles, needs and results.
Compare relationships
It identifies characteristics shared by the most valuable customers.
Approve the profile
The team reviews the insights and chooses criteria for further use.
The profile is based on real relationships
The analysis uses CRM history and, optionally, correspondence context. Each insight can be traced back to source data and sample size.
What does AI use?
- customer and company history from the CRM
- deal statuses, values and results
- contact roles and event types
- optional correspondence index
What does the team receive?
- profile of the most promising customers
- criteria for assessing new leads
- insights for sales strategy
The hotel chooses which insights become rules
The team sets the period, property, segment and minimum data quality, then approves the profile before passing it to other modules.
A salesperson can reject a misleading pattern, add business knowledge and publish different profiles for properties or types of offer.
The module analyses history. It does not generate leads, contact customers or present correlations as certain causes of an outcome.
A better starting point for proactive sales
The team knows which companies, needs and contact roles to look for.
Priorities come from sales history, with data limitations made visible.
Lead generators and calibration can use one approved definition.
CRM is the primary source for analysis
The result is more accurate when the CRM connects companies, people, enquiry types and deal outcomes more effectively.
Related process elements
Frequently asked questions
Does the module require a CRM?
Yes. The CRM provides the customer, deal and outcome history needed for reliable analysis.
Does it take message content into account?
It can, if the hotel provides a correspondence index; e-mail then adds relationship context.
Will one profile fit all properties?
No. The analysis can be conducted separately for a property, brand, region or type of offer.
How often should it be updated?
After enough representative new history has been collected, or when the offer or market changes significantly.