Lost deal reasons
Code the notes on lost deals into loss reasons and find the ones worth another try.
Columns to upload
Name the columns in your CSV like this. Extra columns are fine: every column of the row is sent with the questions.
| Column | What it holds |
|---|---|
deal | Deal name |
amount | Deal amount |
loss_note | Why the deal was lost, as the rep wrote it |
Questions
Each question adds a column to your file. The answer is one of the listed values, or Unsure when the model's confidence is below the cutoff: 70% for pick-one and scale questions, 80% for yes or no.
| New column | Question | Possible answers |
|---|---|---|
reasonPick one | Why was the deal lost? If they chose another vendor, answer competitor even when price was the reason. |
|
win_backScale | How likely is a new attempt to win this deal within 6 months? |
Lowest to highest |
competitor_namedYes or no | Does the note name the vendor they chose? |
|
Example row
| Column | Value |
|---|---|
deal | Northside Market |
amount | 9600 |
loss_note | Went with CellarSoft, cheaper for year 1. Said to check back at renewal in Q2. |
Answers from a test run on this row
| Column | Answer | Confidence |
|---|---|---|
reason | competitor | 97% |
win_back | Unsure | 69% |
competitor_named | yes | 96% |
More sales use cases
| Use case | What it does | New columns |
|---|---|---|
| Inbound lead qualification | Score the leads from your contact or demo form so sales calls the right ones first. | request seniority fit timeline |
| Job title normalization | Turn the free-text job titles in a CRM or event list into department and seniority fields you can filter on. | department seniority decision_maker |
| Cold email replies | Sort replies to an outbound sequence so interested prospects and referrals get a follow-up the same day. | reply_type referral date_given |
| Deal notes risk review | Read the notes on open deals and flag the ones at risk before the forecast call. | risk objection next_step competitor_named |
| Company list segmentation | Segment a list of prospect companies by business model and industry from their descriptions. | business_model sells_to_businesses sells_alcohol |