You have a rep on your team who converts at 65%. She is your top closer. She hits her numbers every month. And she is quietly costing your firm more than anyone on the floor — because 22% of the cases she signs withdraw before they ever reach settlement.
That 22% withdrawal rate is not a minor footnote. It means roughly one in five of her signed cases generates zero revenue while consuming real attorney time, real case development hours, and real paralegal effort. When you run the math, her net contribution to the firm is smaller than you think — and the coaching conversation she needs is not about closing more cases. It is about closing the right ones.
Why Conversion Rate Alone Is Misleading for Rep Evaluation
Conversion rate is the metric on the whiteboard. It is the number intake managers cite when they rank their team. It is what bonuses are tied to. And it tells you almost nothing about whether a rep is signing cases that will actually produce revenue.
A high conversion rate says one thing: this rep gets signatures. It does not say whether those signatures stick. It does not account for the cases that withdraw six weeks later because the client was oversold on the timeline, or the liability was thin, or the client never fully committed in the first place. Conversion rate measures the front door. It ignores the back door entirely.
Consider two reps on your team handling the same lead mix from the same sources:
| Metric | Rep A (High Convert) | Rep B (Lower Convert) | |
|---|---|---|---|
| Conversion Rate | 65% | 48% | |
| Cases Signed / Month | 26 | 19 | |
| Withdrawal Rate | 22% | 4% | |
| Withdrawn Cases / Month | 5.7 | 0.8 | |
| Viable Cases / Month | 20.3 | 18.2 | |
| Monthly Waste (at $2,250 avg) | $12,825 | $1,710 |
Rep A signs seven more cases per month. But after withdrawals, she delivers only two more viable cases — while generating $11,000 more in wasted development costs every single month. On a net basis, Rep B is the stronger performer. But on every intake scorecard that only tracks conversion rate, Rep A looks like the star.
The Cost of Marginal Signings
Every case that withdraws after signing burns resources your firm cannot recover. This is not theoretical. You can attach a dollar figure to every withdrawal, and when you do, the numbers are uncomfortable.
Attorney Review
$800–$1,200
Initial case evaluation + strategy
Paralegal / Dev Time
$500–$1,000
Records requests, follow-ups
Administrative Overhead
$200–$800
File setup, closing, storage
All in, most firms estimate the cost of a withdrawn case at $1,500 to $3,000. That range depends on how far the case progressed before withdrawal — a case that withdraws in the first week costs less than one that withdraws after three months of development. But even at the low end, a rep generating five or six withdrawals per month is creating $7,500 to $18,000 in wasted spend every month. That is $90,000 to $216,000 per year from a single rep's signing patterns.
And here is what makes it worse: that cost is invisible in most firms. Nobody tracks it because nobody connects the withdrawal back to the rep who handled intake. The case management system shows a closed file. The attorney moves on. The waste vanishes into the P&L as overhead.
The Three-Metric Coaching Stack
If you want to evaluate intake reps on what actually matters — cases that produce revenue — you need three metrics working together, not one. We call this the three-metric coaching stack.
1. Conversion Rate
This is still useful. It tells you whether a rep can close. A rep converting below 30% on qualified leads has a sales skills gap that needs attention. But conversion rate is the floor, not the ceiling. It is necessary. It is not sufficient.
2. Withdrawal Rate
This is the metric that reveals quality. A healthy withdrawal rate for a PI intake rep is 3% to 6%. Above 10%, something is wrong with how the intake interaction is happening — overpromising, underqualifying, rushing the process, or failing to build enough rapport for the client to stay committed through a long case lifecycle. Above 15%, the rep is actively costing the firm money on a net basis regardless of how many cases they sign.
3. Rejection Accuracy
This is the metric nobody tracks — and it is the most revealing of all. Rejection accuracy measures whether the cases a rep turns away actually deserved to be turned away. You calculate it by auditing a sample of rejected leads each month: how many of those rejections were correct (the case genuinely did not meet criteria) versus how many were legitimate cases that got rejected too quickly?
A rep with high rejection accuracy is making good judgment calls on both ends — signing the right cases and rejecting the right leads. A rep with low rejection accuracy and high conversion is signing everything that moves, regardless of quality. A rep with low rejection accuracy and low conversion is making poor decisions in both directions.
In that chart, James looks like the top performer if you only see the blue bars. But the orange bar tells a different story. His 22% withdrawal rate combined with 61% rejection accuracy means he is signing aggressively and indiscriminately. Devon, converting at 44%, is actually the most efficient rep on the team when you account for case quality and resource waste.
How to Run a Monthly 1:1 Coaching Session Around Cases, Not Call Counts
Most intake 1:1 meetings revolve around volume metrics. How many calls did you take? What was your conversion rate? How many cases did you sign? These conversations are backwards. They reward activity instead of outcomes.
A coaching session built around the three-metric stack looks fundamentally different. Here is the structure that works for teams of three to eight reps:
Step 1: Pull the numbers.Before the meeting, pull each rep's conversion rate, withdrawal rate, and a sample of their rejections from the prior month. You need at least 30 days of data for the numbers to be meaningful. Present all three metrics side by side — not just conversion.
Step 2: Identify the pattern. High conversion plus high withdrawal means the rep is overselling or underqualifying. Low conversion plus low withdrawal means the rep is too conservative — they are only signing slam-dunk cases and letting viable ones walk. High conversion plus low withdrawal is the target profile. Low conversion plus high withdrawal is a serious skills gap.
Step 3: Review specific cases. Do not talk about metrics in the abstract. Pull three to five specific withdrawn cases from the prior month and review them together. Listen to the intake call if it was recorded. Read the notes. Ask the rep what they remember about the lead, what made them decide to sign, and what they think went wrong. This is where coaching actually happens — in the details of real cases, not in percentage-point lectures.
Step 4: Set a specific improvement target.Not “improve your withdrawal rate.” Instead: “Your withdrawal rate was 22% last month. Let's target 14% this month by adding a qualifying question about treatment status before you present the retainer.” Specific, behavioral, measurable.
What Good Coaching Conversations Sound Like
Bad coaching sounds like this: “Your withdrawal rate is too high. You need to do a better job qualifying leads.” That is feedback, not coaching. It tells the rep what is wrong without telling them what to change.
Good coaching is specific and grounded in cases the rep remembers:
“James, I pulled your withdrawals from last month. Five of your six withdrawn cases had something in common — the client had not started treatment at the time of signing. When I listened to the calls, you moved to the retainer within eight minutes on three of them. The clients sounded interested but uncommitted. What if we add a checkpoint before the retainer presentation — confirm that the client has either started treatment or has a scheduled appointment? That one filter would have caught at least three of these six.”
That conversation gives the rep a specific behavior to change, ties it to real cases they handled, and quantifies the expected impact. It does not attack their skills or question their effort. It identifies a pattern and offers a fix.
Another example for a different pattern:
“Aisha, your conversion is strong at 57%, but your withdrawal rate ticked up to 9% last month from 5% the month before. I looked at the four withdrawn cases and three of them came from the same lead source — the paid social campaign. Those leads tend to be earlier in their decision process. Could we try spending an extra two to three minutes on those calls setting expectations about the timeline? Let's see if that holds them through the first 60 days.”
This kind of coaching does two things simultaneously. It improves the rep's performance. And it generates intelligence about lead source quality that feeds back into your marketing attribution. If a specific source consistently produces leads that withdraw at higher rates regardless of which rep handles them, that is a vendor quality signal — not an intake skills problem.
Connecting Rep Performance to Cost Per Case
Everything in this coaching framework connects back to the metric that actually matters: cost per case. Every withdrawn case inflates your true cost per case because you spent money developing a file that produced zero revenue. When you reduce withdrawal rates across your intake team, you are directly reducing your firm's cost per case — without spending a single additional dollar on lead generation.
| Scenario | Before Coaching | After Coaching | |
|---|---|---|---|
| Monthly Cases Signed | 26 | 23 | |
| Withdrawal Rate | 22% | 8% | |
| Viable Cases / Month | 20.3 | 21.2 | |
| Monthly Withdrawal Waste | $12,825 | $4,140 | |
| Annual Waste Savings | — | $104,220 |
Notice what happens in that scenario. The rep actually signs fewer total cases after coaching — 23 instead of 26. Her conversion rate drops from 65% to about 58%. On a traditional scorecard, she looks worse. But she produces more viable cases (21.2 versus 20.3) while eliminating over $100,000 in annual waste. The firm gets better outcomes from the same rep handling the same leads.
This is why the three-metric coaching stack matters. Conversion rate alone would have told you this rep got worse. The full picture tells you she got dramatically better — and your cost per case dropped with her.
If you are managing a team of intake specialists and you are only looking at conversion rate, you are flying half-blind. Pull your withdrawal data by rep. Run the math on what those withdrawals cost. Then have the coaching conversation that actually changes outcomes — not about call counts, but about cases.
Related guide: See our complete guide to PI intake performance — the 8 metrics every PI firm should track, benchmarks, and how to connect intake data to marketing attribution.
