Three things to know
Sentiment is up
Positive conversations rose from 35% to 38%. Driven mostly by onboarding and training topics.
Competitor A is most mentioned
Up from 11%. Most often raised alongside pricing questions.
Opportunities need follow-up
Open deals with a negative or competitive conversation this period. See the watch list.
How buyers feel
| Segment | Conversations | Positive | Change vs prior | Share positive |
|---|---|---|---|---|
| AMER | 640 | 40% | ▲ +4 pts | |
| EMEA | 410 | 37% | ▲ +2 pts | |
| APAC | 190 | 33% | ▲ +1 pt |
Segments with fewer than 10 conversations are hidden. Results never go down to an individual rep.
Deals that need a look
| Opportunity | Stage | Amount | Signal | Owner team | Evidence |
|---|---|---|---|---|---|
| Account A · Expansion | Negotiation | $120k | Competitive Competitor A named | Enterprise East | CONV-0412 |
| Account B · New business | Proposal | $85k | Negative Budget concern | Mid-market West | CONV-0377 |
| Account C · Renewal | Commit | $210k | Negative Integration issue | Enterprise Central | CONV-0891 |
| Account D · New business | Discovery | $60k | Competitive Competitor B in use today | Mid-market East | CONV-1032 |
Who comes up, and how
| Competitor | Conversations | Share | Negative when mentioned | Usual context |
|---|---|---|---|---|
| Competitor A | 174 | 14% | 31% | Price and packaging; evaluating alongside us |
| Competitor B | 112 | 9% | 22% | Already in use; ease of use |
| Competitor C | 74 | 6% | 18% | Cloud-native integrations |
From enrichment
Tool 1: 12% · Tool 2: 9% · Tool 3: 7% · Tool 4: 5%
In their words
What keeps coming up
| Theme | Share of negative or mixed conversations | Relative size |
|---|---|---|
| Pricing and packaging | 22% | |
| Fit with their cloud data platform | 17% | |
| Time to value | 13% | |
| Who will own it internally | 9% |
What enablement can do
How to read this
Coverage
87% of conversations had a usable transcript. 13% were excluded as empty or too short.
Confidence
Sentiment and competitor tags are model estimates. The agent disagreed with the recorded sentiment on 9% of conversations, listed in the appendix.
Definitions
Fields and terms come from the DataHub definitions. Names and emails are masked before the model reads any text.
Reviewed by a person before it is shared with leadership. Back to the agent page