Buyer Attributes & Outcomes

Description

Purpose of Analysis

Deal outcomes are influenced by a combination of sales execution and buyer characteristics. Understanding which buyer attributes correlate with successful outcomes helps teams refine targeting, prioritize opportunities, and interpret performance more accurately.

The TrueAI platform enriches and standardizes buyer-related attributes, enabling consistent analysis across deals and time periods.

This analysis answers:
Which buyer attributes are most strongly associated with successful deal outcomes?

Query

Query Intent

This query compares win and loss outcomes across selected buyer attributes. By grouping deals by attribute values and outcome status, it highlights patterns that may indicate stronger product fit, clearer use cases, or more favorable buying conditions.

The goal is not to create deterministic rules, but to surface correlations that inform strategy and prioritization.

SELECT
  buyer_industry,
  buyer_company_size,
  outcome,
  COUNT(*) AS deal_count

FROM ssr

WHERE outcome IN ('Closed Won', 'Closed Lost')

GROUP BY
  buyer_industry,
  buyer_company_size,
  outcome

ORDER BY
  deal_count DESC;

Sample Output

In this example, certain industries and company sizes show a higher proportion of successful outcomes. These patterns suggest areas where targeting and messaging may be more effective.

buyer_industry	buyer_company_size	outcome	deal_count
SaaS	50–200	Closed Won	312
SaaS	50–200	Closed Lost	148
Manufacturing	200–1,000	Closed Lost	221
Finance	1,000+	Closed Won	94
Retail	10–50	Closed Lost	173

How to Interpret the Results

deal_count shows the volume of wins and losses for each attribute combination
A higher proportion of Closed Won outcomes suggests stronger alignment with buyer needs
Attribute patterns should be interpreted alongside deal size and sales cycle length
Correlation does not imply causation; these signals support prioritization, not exclusion

Why This Matters

Buyer attribute analysis:

improves targeting and qualification strategies,
provides context for interpreting rep performance,
and helps teams focus on segments with higher likelihood of success.

This example completes the Deal Intelligence narrative by connecting deal behavior and timing to buyer-level factors.

Description​

Purpose of Analysis​

Query​

Query Intent​

Sample Output​

How to Interpret the Results​

Why This Matters​