What it measures: Win rate = bids won ÷ (bids won + bids lost). GC Lost and Ghosted outcomes are excluded — those aren't competitive losses.

Upward trend — your bid selection is improving. You're saying yes to more winnable work.

Downward trend — you're taking on harder work, or the market got more competitive. Check whether a new building type or client is dragging it down.

Flat line — normal early on. You need 6+ competitive outcomes for a trend to be meaningful.

What it measures: How many bids you ran through BidIntell each month.

Consistent volume matters more than a high monthly peak. BidIntell gets sharper as your outcome history grows — the more you feed it, the better Competitive Pressure and Client Relationship scores become.

Dips are normal during slow seasons. A sustained drop usually means either the market slowed or you're pre-screening bids before analyzing — both worth checking.

What it measures: Win rate per client = bids won ÷ (bids won + bids lost). GC Lost and Ghosted are excluded — only direct competitive outcomes count.

These are your strongest relationships. High-win-rate clients are worth protecting — bid everything they send and use their star rating in Settings to weight their bids higher.

A client appearing here with 3–5 bids is a strong early signal. One with 10+ bids at 60%+ is a genuine competitive advantage.

What it measures: Ghost rate = (ghosted + passed) ÷ total outcomes for that client.

A high ghost rate is a red flag. Common causes: the GC is using your number to hit their bid count requirement with no real intent to award you work, the relationship is weak, or the scope is regularly outside your sweet spot.

If the same client appears here repeatedly, lower their star rating in Clients — it'll pull down their score on future bids and prompt you to think twice.

What it measures: Expected revenue per estimating hour = (win rate × average won amount) ÷ average hours to estimate. Requires hours-spent data from your outcome records.

This is the most actionable number in BidIntell. A building type might have a low win rate but still produce high ROI if the wins are large and estimating is fast. Conversely, a high-win-rate type can be a poor use of time if every bid takes 20 hours.

Use this to decide where to invest estimating capacity — especially when you're busy and need to triage the bid queue.

What it measures: The mix of building types in all bids you've analyzed — including pending ones with no outcome yet.

Use this alongside Win Rate by Building Type. If one type dominates here but has a low win rate, you may be overcommitting estimating time to a segment that isn't returning. The ideal is a mix weighted toward your highest-win-rate types.

What it measures: Win rate (won ÷ won + lost) broken down by the building type extracted from the bid documents.

Green bars (50%+) — your sweet spots. You're consistently beating the competition here.

Yellow bars (25–49%) — competitive but not dominant. Worth continuing, especially if project sizes are large.

Gray bars (under 25%) — you're losing more than you're winning. Consider whether the estimating time is justified.

Compare against Projects by Building Type: high volume + low win rate = you're burning the most estimating time for the least return.

What it measures: For each CSI division found in your bid documents, your win rate on bids where that scope was present. Only divisions with 2+ outcomes shown. Subcontractors only.

This tells you which trade scopes you're most competitive in — not just which ones you bid most. A high win rate on a division is a core strength. A low win rate may mean you're pricing out of scope, or competitors have a structural advantage.

If a low-win-rate division keeps showing up alongside your high-win-rate scopes, consider whether to sub it out or price it as a loss-leader to win the primary scope.

What it measures: Win rate and bid count grouped by client type — General Contractor, End User, Building Owner, Distributor, Manufacturer Rep, etc.

Most useful for distributors and reps who sell to multiple client types. If GC-bid work has a 20% win rate and direct end-user work has 45%, that's a signal about where to focus relationship development.

What it measures: The actual win rate for bids that scored GO, REVIEW, and PASS. Needs at least 5 outcomes to appear.

Well-calibrated scoring: GO has the highest win rate, REVIEW is in the middle, PASS is lowest. The bigger the gap between GO and PASS, the better the algorithm is predicting real outcomes.

Red flags: GO win rate below 40% → algorithm is too generous, raise your threshold in Settings. PASS bids winning more than 20% → you're filtering out winnable work.

What it measures: How well the GO / REVIEW / PASS recommendation matched your actual outcome. Needs at least 1 completed outcome to populate.

A high win rate on GO bids means the scoring is correctly identifying your best opportunities. A high win rate on PASS bids means you're leaving money on the table — revisit your keyword or location settings.

What it measures: How often you agreed with a score when you gave feedback after an analysis.

High agreement means the model's read matches your instincts. Low agreement is useful signal — it usually means your keyword list or CSI sections need tuning, or the weights in Settings don't reflect how you actually evaluate bids.

What it measures: The average BidIndex score on bids you won versus bids you lost.

A large gap (won scores much higher than lost) means the scoring is discriminating well. If the averages are close together, the model needs more outcome data to reliably separate strong bids from weak ones. Log more outcomes to sharpen calibration over time.

What it measures: Patterns in your bid history — where you tend to win, where you lose, and what that suggests about adjusting your approach.

Suggestions here are directional, not prescriptive. Use them as a prompt to revisit your Settings weights or to notice patterns you might have missed across dozens of bids.