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Our retention story
David Apple | VP Customer Success
Conversational data collection
Framework
Context Churn drivers SegmentationBenchmark Forecast
Quick history of our retention
Context Churn drivers SegmentationBenchmark Forecast
Retention history
High churn
Retention history
Quick resultsHigh churn
Retention history
Quick results ??High churn
How do we compare to others?
Context Churn drivers SegmentationBenchmark Forecast
Our churn is high… but compared to what?
SaaS benchmarks
From Tomasz Tunguz
SaaS benchmarks
Acceptable customer churn range (3% to 7%)
Many 1-off projects
…but Typeform is intrinsically different
Many 1-off projects Customers don’t live in our product
…but Typeform is intrinsically different
Many 1-off projects Customers don’t live in our product We don’t do Enterprise
…but Typeform is intrinsically different
It turns out...
It turns out...
Our retention rates are significantly better
200% better for monthly plans
30% better for yearly plans
Why do customers churn?
Context Churn drivers SegmentationBenchmark Forecast
Happy churners
Causes of churn
Happy churners Finished project
Causes of churn
Should this be considered churn?
No need after
event is over
No travel booked
in August
Should this be considered churn?
No need after
event is over
No travel booked
in August
Should this be considered churn?
No need after
event is over
Customer went
out of business
How should we segment our customers?
Context Churn drivers SegmentationBenchmark Forecast
The 4 ‘buckets’ of customer behaviours
3 12 24 36
67%
47%
44%
42%
The 4 ‘buckets’ of customer behaviours
3 12 24 36
67%
47%
44%
42%
32%
The 1-offs
The 4 ‘buckets’ of customer behaviours
3 12 24
67%
47%
44%
42%
32% 20%
36
The casuals
The 4 ‘buckets’ of customer behaviours
3 12 24
67%
47%
44%
42%
32% 20% 38%
36
The stickies
The 4 ‘buckets’ of customer behaviours
3 12 24
67%
47%
44%
42%
32% 20% 38%
10%
36
The reactivators
Segment contribution
In each new cohort we consistently attract a similar % of
one-offs, casuals, stickies, and reactivators
% of customers
38%
60%
32%
8%
Segment contribution
% of customers % of revenue
What’s the ROI of each bucket?
Segment ONE-OFF’s CASUALS REACTIVATORS STICKIES
Retention
curves
What’s the ROI of each bucket?
Segment ONE-OFF’s CASUALS REACTIVATORS STICKIES
Retention
curves
Year 1 ROI Negative 3x 4x 7x
We learned that
We love stickies!
We learned that
We love stickies! One-offs are hurting us
We need to figure out who is who?
Personas analysis by company size
stickies reactivators one-offs casuals
1-10
11-50
51-250
251-1,000
1,000+
Personas analysis by company size
stickies reactivators one-offs casuals
1-10
11-50
51-250
251-1,000
1,000+
Personas analysis by company size
stickies reactivators one-offs casuals
1-10
11-50
51-250
251-1,000
1,000+
Other segmentations
Location OtherDepartment Use case
State of
Name Waldo
DOB 22 July 1981
Location Ireland
Industry SaaS
Role Founder, CEO
Company size 11 to 250 employees
Use case Customer feedback
DRIVER’S LICENSE
Ideal customer profiles
Forecasting churn
Context Churn drivers SegmentationBenchmark Forecast
What is the trend in churn?
MRR by cohort over time
What is the trend in churn?
Retention assumption
What is the trend in churn?
Net MRR Churn forecast end of 2017 end of 2018
Exponential growth Target +20% Target
What is the trend in churn?
Growth assumption
What is the trend in churn?
Net MRR Churn forecast end of 2017 end of 2018
Exponential growth Target +20% Target
Flat growth Target Target -20%
Take-aways
Take-aways
Beware of benchmarks
Data is the key
Take-aways
Beware of benchmarks
Data is the key
Take-aways
Beware of benchmarks Retention curve > churn rate
¡Gracias!
Questions? Suggestions? Hate mail?
david.apple@typeform.com
@davidcapple

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