# RevOps · Day 14 — Two-minute trick: the confidence tiers

**Subject:** Two-minute trick: the confidence tiers
**Send:** Day 14
**Goal:** surface the manual-review queue — non-obvious, high-value

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Hi {{first_name}},

The single most-skipped feature in DataTools is also the one with the highest payoff per minute: the **manual-review queue**.

Here's what's happening under the hood: every dedupe decision DataTools makes has a confidence score (0.0 to 1.0). The dedupe tool by default puts decisions into three buckets:

- **≥0.95** → auto-merge (cleaned CSV)
- **0.85 - 0.95** → manual-review queue (`<filename>.review.csv`)
- **<0.85** → unmerged (kept as separate rows)

The 0.85-0.95 bucket is the magic. It's the range where a tuned algorithm catches *most* duplicates but where the wrong choice is a real cost (merging two genuinely different people = lost prospect; not merging two duplicates = paid contact you didn't need).

The 2-minute workflow:

1. Run dedupe.
2. Open `<filename>.review.csv`. Each row is a candidate merge with: confidence, the two records side-by-side, the rule that fired.
3. Eyeball each row. Mark `keep_merge` (Y/N) in the rightmost column.
4. Re-run dedupe with the `--apply-review-decisions <filename>.review.csv` flag (or click "Apply review decisions" in the GUI).
5. Final cleaned CSV reflects your manual choices.

For a 5,000-row lead list, the review queue is typically 20-60 rows. ~3 minutes of work. The output is dramatically better than auto-merge-everything-≥0.85, which is what most tools (including HubSpot's) do silently.

**Pro move:** save your `keep_merge` decisions over time. After 3-4 campaigns you'll have a corpus of "yes-merges" and "no-merges" you can use to retune the auto-merge threshold for *your* data. Most teams find their sweet spot is somewhere in 0.88-0.92.

— Michael
{{support_email}}
