CBT Combined Dashboard

Transaction × Progress Data — Cross-Verified

12,308 matched users  ·  May 2025 – May 2026
Free Trial → Paid Conversion Analytics — Trailing 12 Months
Total Trial Users (12mo)
10,764
Unique free trial starts in dataset
Overall Conversion Rate
65.2%
7,018 of 10,764 trials converted to paid
Strong baseline rate
Never Converted
3,746
34.8% of all trial users
~$370K in lost LTV
Median Days to Convert
7 days
95.1% convert within 7 days of trial start
Decision made in week 1
Avg Converter LTV
$286
vs. $331 overall paying base avg
Chose Standard $99
97.0%
6,807 of 7,018 converters at $99
Strong full-price uptake
Conversion Rate Drop
Aug–Nov
Fell from 85% → 51% over 4 months
Major quality shift
Non-Converter Avg Logins
3.3
vs. 24.2 for converters — barely engaged
Login = purchase intent signal
Monthly Trial Volume & Conversion Rate May '25 – May '26
Converted Not converted Conversion rate % (right)
Conversion rate dropped sharply from 85% (May–Jul '25) to 51% (Oct '25) as trial volume tripled. This strongly suggests a lead quality problem — more trials, but lower-intent users entering the funnel.
Conversion Speed Breakdown

95% of converters decide within 7 days — the trial window is essentially a 1-week decision.

Same day (day 0)14  0.2%
Within 7 days6,673  95.1%
The decision window
Days 8–14175  2.5%
Days 15–30103  1.5%
After day 3067  1.0%
Day 7 is the only moment that matters for conversion. Any trial nudge email, progress prompt, or offer should fire on days 5–7, not day 14.
Converter vs. Non-Converter Engagement

Login count during the trial is the clearest purchase intent signal available. Non-converters barely touched the product.

Avg Logins
Non-conv: 3.3Converted: 24.2
7.3×
Avg Progress
Non-conv: 3.4%Converted: 30.3%
Non-converters login distribution
Logins during trialUsers% of non-converters
0 logins40.1%
1–3 logins2,77574.8%
4–10 logins80521.7%
10+ logins1243.3%
74.8% of non-converters had only 1–3 logins. They signed up, barely tried it, and left. This is a product first-session problem, not a pricing problem.
Post-Conversion: Trial Cohort Outcomes

Of the 7,018 who converted, how far did they go in both the program and billing?

Converted → paid at least once7,018  100%
Baseline
Reached 25%+ of program3,952  56.3%
Got past early dropout
Reached 50%+ of program1,655  23.6%
Halfway or further
Reached 75%+648  9.2%
Fast converters (≤7d) avg LTV$289
Fast converters (≤7 days) have $289 avg LTV vs $228 for slow converters (>7 days). Speed of conversion is a leading indicator of long-term retention.
Revenue Overview — Trailing 12 Months
Total Net Revenue
$4.01M
59,478 succeeded transactions
Peak MRR
$373K
September 2025 · 4,153 members
▼ Declining 7 months
Current MRR (Apr 2026)
$271K
3,074 active paying members
▼ –27% from peak
Avg Monthly Churn
24.0%
~870 members lost/month
4–5× industry benchmark
Verified Avg LTV
$331
Median $207 · 3.6 avg payments
CPA Payback Period
~2.4mo
Recovered in ~3 billing cycles
Competitive advantage
Alumni Tier Revenue (12mo)
$199K
Growing 6.6% → 14.7% of txns
Retention floor working
Monthly Net Revenue & Active Members May '25 – May '26
Net Revenue Active Members (right)
New vs. Recurring Revenue Split
Recurring New
Product Engagement — Cross-Verified (12,308 matched users)
Avg Progress (paying users)
32.9%
vs. 23.8% for all enrolled users
Paying = more engaged
Avg Logins (paying users)
30.2
vs. 21.3 for all enrolled
+42% more logins
Reached 50%+ of Program
28.8%
3,541 of 12,308 paying users
Program Completion Rate
0.1%
Only 13 of 12,308 paying users
Critical gap
Active Member Avg Progress
39.9%
vs. 30.4% for churned users
Active Member Avg Logins
46.2
vs. 24.4 for churned users
Alumni Avg Progress
72.7%
vs. 28.3% for standard members
+157% more program progress
Alumni Avg Logins
88.1
vs. 23.3 for standard members
3.8× more engaged
Progress Milestone Reach Rates Paying users only
Started program (any progress)12,308  100%
All paying users
Reached 10%+9,243  75.1%
Past first sessions
Reached 25%+6,331  51.4%
Past early drop zone
Reached 50%+3,541  28.8%
Halfway
Reached 75%+1,276  10.4%
Near complete
Reached 90%+305  2.5%
Completed (100%)13  0.1%
48.6% of paying customers never reach 25% of the program. The first quarter of the program is the largest single revenue risk.
Login Count → Progress → Retention

More logins = higher progress = higher active rate. The 20-login threshold is the activation inflection point.

Logins Users Avg Progress Active Rate Avg Spend
1–52,3654.7%16%$274
6–204,58321.0%24%$290
21–503,53650.5%29%$365
51–1001,37964.8%35%$433
100+44467.9%59%$482
Avg Progress % Active Rate %
Standard vs. Alumni vs. Discounted — Side-by-Side
Standard $99/mo
10,498
users · avg 28.3% progress
Progress28.3%
Avg logins23.3
Active rate24.7%
Median spend: $198
Alumni $39/mo ★ Best Engagers
1,088
users · avg 72.7% progress
Progress72.7%
Avg logins88.1
Active rate38.0%
Median spend: $336
Discounted $69/mo
674
users · avg 39.6% progress
Progress39.6%
Avg logins38.8
Active rate35.5%
Median spend: $287
Progress by Plan — Distribution All matched users
0–10% 11–25% 26–50% 51–75% 76–100%
Progress → Revenue Relationship

Higher progress users spend significantly more. Getting users to 50%+ is a revenue event, not just a product metric.

Progress StageUsersAvg LoginsAvg SpendAvg Payments
0–10%3,0655.6$3003.0
11–25%2,76815.4$3033.1
26–50%2,62434.6$3443.6
51–75%2,57455.1$3654.4
76–100%1,27778.1$4005.1
When & Where Members Churn
Left within 30 days
1,980
21.9% of churned paying users
Never formed a habit
Left within 60 days
3,369
37.2% of churned paying users
Cumulative by day 60
Left within 90 days
4,453
49.2% of churned paying users
Half gone by month 3
Cumulative Churn Timing Churned paying users
Half of all churned paying members are gone within 90 days of joining. The 30–90 day window is the highest-leverage retention intervention zone.
Where Churned Members Stopped
0–10% (never engaged)42.6% of churned
3,857 users
11–25% (early dropout)22.5%
2,038 users
26–50% (midpoint stall)19.5%
1,766 users
51–75% (late dropout)13.1%
1,186 users
76–99% (almost done)2.3%
65.1% of churned users stopped before 25%. The 26–50% cohort (1,766 users) is the highest-value re-engagement target — they invested real time before leaving.
Alumni Tier — The Hidden Retention Story
Alumni Active Rate
38.0%
vs. 24.7% for standard members
+54% more likely to stay
Alumni Avg Progress
72.7%
vs. 28.3% standard — 2.6× higher
Most program-complete cohort
Alumni Avg Logins
88.1
vs. 23.3 standard — 3.8× more
Power users of the program
Alumni Median Spend
$336
vs. $198 standard median
Higher lifetime value
Alumni % of Monthly Transactions Growing fast
Alumni mix doubled from 6.6% → 14.7% in 12 months, generating $199K in revenue that would otherwise be $0. The alumni tier is the most engaged, most program-complete cohort in the entire database.
Standard vs. Alumni — Head to Head
Progress
Standard 28.3%Alumni 72.7%
+157%
Logins
Standard 23.3Alumni 88.1
+278%
Active Rate
Standard 24.7%Alumni 38.0%
+54%
Med. Spend
Standard $198Alumni $336
+70%
Alumni members are higher-progress, higher-engagement, higher-retention, AND higher-LTV than standard members. The downgrade to $39 is not a loss — it's a graduation.
Key Findings & Strategic Recommendations

Critical — Revenue declining while acquisition slows

MRR has dropped 27% from its $373K peak as new member intake fell from 1,175/month to 494, while churn holds at ~870/month. The business is mathematically shrinking. Immediate levers: reactivate paid acquisition, improve early onboarding to cut 30-day churn, and fix the failed payment dunning sequence (which alone could recover $24–32K/mo at peak).

Critical — 49% of churned paying users left within 90 days

Half of all churned paying members are gone before they reach month 3. At an avg CPA of $233, these members never generate positive ROI. A focused first-90-day experience — a structured onboarding track, day-7/day-14/day-30 email sequences, and a quick-win module in the first session — could meaningfully shift this. Even extending average retention by 1 month would add ~$97 in LTV per customer, worth ~$840K annually at current acquisition volume.

Priority — 20 logins is the engagement activation threshold

Users with 21–50 logins average 50.5% progress and a 29% active rate. Users with 1–5 logins average 4.7% progress and a 16% active rate. The gap between these groups is enormous. Any product mechanic that pushes new users past their 20th login — a streak tracker, weekly check-in email, short daily module, or progress milestone notification — is likely the single highest-ROI product investment available.

Priority — 48.6% of paying users never reach 25% of the program

Nearly half of all paying customers stop before the first quarter of the program. These aren't people who tried it and moved on — they paid $99/mo and barely started. The first few modules are either too intimidating, too long, or not delivering an early enough win. A short "starter track" (3–5 modules) designed to create a felt result in the first 2 weeks would address the largest single dropout moment in the product.

Opportunity — Alumni members are the best customers you have

Alumni members have 2.6× more program progress, 3.8× more logins, 54% higher active rate, and 70% higher median LTV than standard members. The downgrade to $39 isn't a loss of value — it's a self-selection of your most committed users. Proactively offering the alumni rate to standard members approaching their 3-month mark (before they churn) could convert voluntary cancellations into $39/mo alumni, adding ~$468/yr per converted member.

Opportunity — Higher progress drives higher revenue

Users who reach 76–100% of the program average $400 in total spend and 5.1 payments, vs. $300 and 3.0 payments for users stuck at 0–10%. Getting users to 50%+ isn't just a product metric — it is a revenue metric. Every percentage point of engagement improvement compounds into higher LTV. Progress milestones, celebration moments, and community features that reward advancement all have direct measurable revenue impact.

Critical — Trial conversion fell from 85% to 51% as volume tripled

In May–July 2025, CBT converted 84–86% of trials with modest volume (~700–800/month). By September–October 2025, trial volume tripled to 1,200–1,366/month — but conversion dropped to 51–55%. This is a textbook lead quality dilution: scaling ad spend brought in more trials but lower-intent users. The September 2025 period (highest trial volume, lowest conversion) likely marks when acquisition targeting broadened significantly. Tightening audience targeting even at the cost of fewer total trials may improve net paid conversions.

Priority — 74.8% of non-converters had only 1–3 logins

The vast majority of trial users who didn't convert barely engaged with the product — they signed up but didn't return. This means the barrier to conversion isn't pricing or program length, it's the first-session experience. A user who logs in 3+ times during their trial is far more likely to convert. A triggered "come back" email on day 2–3 for users who haven't returned since signup, paired with a specific module recommendation, could meaningfully recover a portion of the 3,746 users who never converted.