
A managed WordPress hosting company founded by Jason Cohen.
From Jason Cohen, founder of WP Engine
Diagnose a growth stall in a fixed order, fixing the earliest broken step first. Cohen, founder of WP Engine and three other companies including two unicorns, works through five questions in order: logo churn, pricing and positioning, net revenue retention, saturated channels, and whether you need to grow at all.
Later fixes are wasted if customers are leaving or never see the value, the same mistake as tuning the bottom of a funnel that breaks higher up. He says the questions also help teams that want to grow faster, not only stalled ones. The framework rests on his own four companies and about 60 investments, with no broader data on how often each step is the real cause.
Max customers equals monthly new customers divided by monthly churn rate. 100 new customers a month at 5% monthly churn caps the company at 2,000 customers. Cohen calls anything above 3% monthly cancellation terrible.
Cancellations grow automatically with the customer base while marketing output only grows as fast as you improve it, so near the ceiling almost as many customers leave as arrive. The same math works in dollars, and "marketing" covers all growth work including PLG and sales.
Ask open questions about what caused the cancellation, not pick-lists. At Smart Bear the most chosen cancellation reason was simply first in the drop-down; after randomizing the order every option was picked about equally. At Groove, asking "what made you cancel" instead of "why did you cancel" doubled usable responses from 10% to 20%.
Open-ended questions get fewer answers but the answers come from the customer, not a menu. "Too expensive is never ever ever the reason... they already looked at your homepage, saw what you promised, looked at the pricing page, and decided to buy it."
Treat a stated cancellation reason as a proximate cause and keep digging. A customer who "found it too expensive" may really have hit a missing integration, such as a tool that works with Jira but not Linear. "Project ended" is often influenceable: a more successful project might not have ended.
Cohen rejects a single root cause and the five whys, since complex systems have many interlocking causes. Segment matters too: small businesses and consumers have high variance, so their projects end more often.
Talk to at-risk customers before they cancel, while they can be saved. Warning signs include never uploading data, too many or too few support calls, and long gaps without logging in. With enough data you can correlate signals with cancellation directly.
Without data, form a theory, act on it, and adjust as data comes in.
When unsure what to fix, improve onboarding, where most customers leave. Most companies lose more customers in the first day, 30 days or 90 days than in the rest of the customer's life, and small onboarding changes can have large effects on cancellation.
Early leavers are also the least profitable because they never pay back acquisition cost. Cohen compares it to a YouTube retention curve where about 50% of viewers drop in the first 30 seconds.
Prices are usually too low, and raising them often leaves signups flat. Price selects which market you sell to. Selling "double your leads" instead of "halve your ad costs" lets the same product charge 8x more, $40K instead of $5K.
Large buyers can read a very cheap product as "that can't be good enough." Cohen says the 8x story is a simplified, exaggerated version of something that happened to him.
Expansion and referrals must outpace cancellations that scale with size. Median net revenue retention at IPO for SaaS companies is 119%, and only about two public SaaS companies sit below 100%.
Net revenue retention can hide logo losses, because a 20% loss needs a 25% gain to recover.
When a channel saturates, add a new kind of channel like agencies. WP Engine sells heavily through WordPress agencies. HubSpot tested selling through agencies and that channel became about 50% of revenue after four or five years.
Cohen says channels follow an "elephant curve," an S-curve whose tail sags instead of flattening. Constant Contact restarted growth with in-person city workshops for small businesses, run with help from power-user agencies.
Cohen's second unicorn, which sells heavily through WordPress agencies. It is an example of an agency channel working well.
Diagnose a growth stall in a fixed order, fixing the earliest broken step first. Cohen, founder of WP Engine and three other companies including two unicorns, works through five questions in order: logo churn, pricing and positioning, net revenue retention, saturated channels, and whether you need to grow at all.
Later fixes are wasted if customers are leaving or never see the value, the same mistake as tuning the bottom of a funnel that breaks higher up. He says the questions also help teams that want to grow faster, not only stalled ones. The framework rests on his own four companies and about 60 investments, with no broader data on how often each step is the real cause.
Max customers equals monthly new customers divided by monthly churn rate. 100 new customers a month at 5% monthly churn caps the company at 2,000 customers. Cohen calls anything above 3% monthly cancellation terrible.
Cancellations grow automatically with the customer base while marketing output only grows as fast as you improve it, so near the ceiling almost as many customers leave as arrive. The same math works in dollars, and "marketing" covers all growth work including PLG and sales.
Ask open questions about what caused the cancellation, not pick-lists. At Smart Bear the most chosen cancellation reason was simply first in the drop-down; after randomizing the order every option was picked about equally. At Groove, asking "what made you cancel" instead of "why did you cancel" doubled usable responses from 10% to 20%.
Open-ended questions get fewer answers but the answers come from the customer, not a menu. "Too expensive is never ever ever the reason... they already looked at your homepage, saw what you promised, looked at the pricing page, and decided to buy it."
Treat a stated cancellation reason as a proximate cause and keep digging. A customer who "found it too expensive" may really have hit a missing integration, such as a tool that works with Jira but not Linear. "Project ended" is often influenceable: a more successful project might not have ended.
Cohen rejects a single root cause and the five whys, since complex systems have many interlocking causes. Segment matters too: small businesses and consumers have high variance, so their projects end more often.
Talk to at-risk customers before they cancel, while they can be saved. Warning signs include never uploading data, too many or too few support calls, and long gaps without logging in. With enough data you can correlate signals with cancellation directly.
Without data, form a theory, act on it, and adjust as data comes in.
When unsure what to fix, improve onboarding, where most customers leave. Most companies lose more customers in the first day, 30 days or 90 days than in the rest of the customer's life, and small onboarding changes can have large effects on cancellation.
Early leavers are also the least profitable because they never pay back acquisition cost. Cohen compares it to a YouTube retention curve where about 50% of viewers drop in the first 30 seconds.
Prices are usually too low, and raising them often leaves signups flat. Price selects which market you sell to. Selling "double your leads" instead of "halve your ad costs" lets the same product charge 8x more, $40K instead of $5K.
Large buyers can read a very cheap product as "that can't be good enough." Cohen says the 8x story is a simplified, exaggerated version of something that happened to him.
Expansion and referrals must outpace cancellations that scale with size. Median net revenue retention at IPO for SaaS companies is 119%, and only about two public SaaS companies sit below 100%.
Net revenue retention can hide logo losses, because a 20% loss needs a 25% gain to recover.
When a channel saturates, add a new kind of channel like agencies. WP Engine sells heavily through WordPress agencies. HubSpot tested selling through agencies and that channel became about 50% of revenue after four or five years.
Cohen says channels follow an "elephant curve," an S-curve whose tail sags instead of flattening. Constant Contact restarted growth with in-person city workshops for small businesses, run with help from power-user agencies.
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