08.05
Turn a missed number into the right fix
Decision rules that map each weak stage to where you look first, so the fix matches the problem.
Video walkthrough
- Fix the earliest broken stage first
- Lead to qualified: source and form
- Qualified to booked: speed and the ask
- Booked to held: confirmations and reminders
- Held to signed: the appointment itself
What you're building
A one-page set of decision rules: for each stage rate or cost that misses your target, the first place to look, the CRM evidence to pull, and one change to test. The weekly scorecard tool applies these rules automatically when a target is missed.
Why it matters
The common mistake is fixing the stage you can see instead of the one that broke. Cutting ad spend when the real problem is that nobody confirms appointments makes the numbers worse in two places. A rule per stage keeps the fix next to the cause.
What you need
- A scorecard with at least 4 weeks of data and your targets set
- CRM access to pull real examples from the weak stage
Time and cost
- Time
- 25 minutes to read; used every week
- Cost
- $0
Step by step
Confirm the miss is real
Before acting, check three things: the 4-week total also misses (not just one week); the count is not distorted by test leads, blank statuses or a date mismatch; and the base is not tiny (the tool marks a small base when one person moves the rate more than 10 points).
Check: The 4-week rolling rate also misses target, and the data checks are clean.
Apply the rule for the earliest missed stage
If this misses Look here first Evidence to pull A change to test Lead to qualified Source and form Qualified rate by source for 4 weeks; 10 unqualified leads' form answers Add a timeline or area question to the form; pause the source with the lowest qualified rate Qualified to booked Speed to first contact and the booking ask Minutes from lead to first reply (Follow Up Boss Lead Sources report shows speed to lead); 5 conversation transcripts Offer two specific times in the first reply instead of only a link Booked to held Confirmations and reminders Did each no-show get a confirmation and a reminder? Days between booking and meeting Add a reminder closer to the meeting; ask the lead to confirm in their own words Held to signed The appointment itself Who ran the meetings, what was presented, was a next step asked for Agree a standard close: agreement or listing date asked for before the meeting ends Cost per lead (above limit) The ads Cost per lead by ad set in Meta Ads Manager for the same dates Pause the costliest ad set unless its leads qualify better; test new creative (Part 06) Cost per client (above limit), every rate on target Volume and price per lead Cost per lead trend; capacity (next chapter) This is a cost or volume problem, not follow-up. Work on cost per lead or average value per client Check: You picked one row, and you can name the evidence you will pull before the meeting ends.
Pull three real examples
Open three contacts from the weak stage in the CRM and read what actually happened: messages, call notes, appointment status. The numbers say where; the examples say why.
Check: You can describe what went wrong for at least two of the three examples in one sentence each.
Change one thing and log it
Make one change for the stage, write it in the action log with the 4-week value before, and leave everything else alone for 4 weeks so you can tell whether it worked.
Check: The action log has the change, its owner, the before value and a review date.
What success looks like
- Each missed target leads to a named place to look, evidence, and one test.
- You change one stage at a time and judge it on 4-week totals.
Copyable templates
1. Is the miss real? 4-week total misses too, data is clean, base is not tiny.
2. Fix the EARLIEST stage that misses.
Lead -> qualified low: look at SOURCE and FORM.
Qualified -> booked low: look at SPEED and the BOOKING ASK.
Booked -> held low: look at CONFIRMATIONS and REMINDERS.
Held -> signed low: look at the APPOINTMENT itself.
Cost per lead high: look at the ADS.
Cost per client high, rates fine: VOLUME or PRICE, not follow-up.
3. Read 3 real examples from that stage.
4. Change ONE thing. Log it. Judge it in 4 weeks.Try it
Weekly scorecard
Your numbers stay in this browser only. Targets are yours: nothing is compared to an outside benchmark.
Your targets (optional)
| Rate | This week | Target | Flag |
|---|---|---|---|
| Lead to qualified 0 of 0 | n/a | - | Not enough data |
| Qualified to booked 0 of 0 | n/a | - | Not enough data |
| Booked to held (show rate) 0 of 0 | n/a | - | Not enough data |
| Held to signed 0 of 0 | n/a | - | Not enough data |
| Lead to signed (overall) 0 of 0 | n/a | - | Not enough data |
| Cost | This week | Limit | Flag |
|---|---|---|---|
| Cost per lead | n/a | - | Not enough data |
| Cost per qualified conversation | n/a | - | Not enough data |
| Cost per booked appointment | n/a | - | Not enough data |
| Cost per held appointment | n/a | - | Not enough data |
| Cost per signed client | n/a | - | Not enough data |
No target missed (you have not set any targets yet). Record the week and compare it with the last 4 weeks.
"Small base" means one person moves that rate by more than 10 points. Judge it on 4-week totals.
Set a target above your current rate for one stage: the tool names where to look first.
How to test it
In the tool, load the fictional example and set a booked-to-held target of 80%. The tool should flag the show rate and point to confirmations and reminders. Then set a cost-per-lead limit of $15: it should add the ads rule. Clear both targets: no actions should remain.
Troubleshooting
Two stages miss at once.
Fix the earlier one. A later stage's rate is measured on fewer people, so it is noisier and partly caused by the earlier stage.
A fix worked for two weeks, then the number fell back.
Two weeks is inside normal variation for small numbers. Keep the change and judge it on the 4-week total; if it still misses, try a different change for the same stage.
Everything is on target but revenue is flat.
Revenue lags signing by months. Check signed clients per month instead; if those are rising, revenue follows at closing.
Advanced technical details
Optional. You can follow every step above without these.
Technical detailsWhy fix the earliest stage first
Overall conversion is the product of the stage rates: lead to signed = (qualified/leads) x (booked/qualified) x (held/booked) x (signed/held). A relative improvement in any one stage improves the overall rate by the same proportion, but early stages have larger bases, so their rates are measured more reliably and changes show sooner.
Sources
A method with illustrative numbers. Replace the examples with your own. Last checked 2026-10-20.
- Speed to lead & lead source reportFollow Up Boss Help Center · read 2026-10-20
- Cost per resultMeta Business Help Center · read 2026-10-20