How to Find Out Why Customers Choose Your Compeititors A boutique yoga studio owner I know started losing members after a larger chain opened two blocks away.
The timing made the explanation seem obvious. The chain was advertising cheap introductory offers, had a larger space, and was attracting attention locally. The owner assumed price was the main problem.
So she changed her pricing.
It didn’t solve the decline.
A few weeks later, she contacted several former members. She wasn’t expecting a dramatic revelation. She mainly wanted to find out whether her assumption about price was actually correct.
One former member mentioned that booking classes was frustrating. Another brought up the same issue, but in a different context: she often decided whether to attend a class on her way home from work and couldn’t book because the studio required a phone call during business hours.
A third person mentioned the competitor’s app.
By the time she had spoken with five former members, a pattern was emerging. Price mattered to some people, but the booking process was a more consistent source of frustration. The competing studio wasn’t necessarily winning because it was cheaper. For some customers, it was simply easier to use.
That changed the question.
Instead of asking, “How do we beat the competitor’s price?“”,” the owner could ask, “What is making the competitor easier to choose?”
That’s a much more useful question.
When customers leave for a competitor, businesses often start with whatever is easiest to observe: price, advertising, location, features, or brand size. Those factors may matter, but they don’t always explain the individual decision.
Sometimes the deciding factor is much smaller.
A customer can book at night.
A response arrives within an hour instead of a day.
Changing an appointment doesn’t require a phone call.
A confusing process takes three steps instead of ten.
The competitor has one policy that fits the customer’s situation better.
You won’t reliably find those details by studying the competitor from the outside.
You need to understand the decision from the customer’s side.
Start by Separating Four Different Things
One reason customer-loss research goes wrong is that businesses treat every answer as if it were the same kind of information.
It isn’t.
A useful way to analyze an interview is to separate four levels:
1. Symptom
What the customer noticed or complained about.
2. Underlying problem
What made the experience frustrating or less valuable?
3. Switching trigger
What finally caused the customer to act?
4. Competitive advantage
What the competitor offered that made switching feel worthwhile.
Consider a simple example.
The customer says:
“The other studio was cheaper.”
That is the stated reason.
You ask what happened before they switched.
They explain that they often couldn’t book classes because the studio was closed when they decided to attend.
That’s the underlying problem.
Then the competitor offered a mobile app that allowed last-minute booking.
That may have been the competitive advantage.
And the customer finally switched after missing several classes because they couldn’t book in time.
That’s the switching trigger.
Those distinctions matter because the wrong interpretation can produce the wrong solution.
If you hear only “cheaper,” you might cut prices.
If the real problem is booking friction, the price reduction may accomplish very little.
Why Business Owners Misread Customer Loss
Guessing isn’t necessarily careless.
Usually, the initial explanation is reasonable.
A competitor lowers prices, so you assume price is the problem.
A new location opens nearby, so you assume convenience is the problem.
A competitor launches a new feature, so you assume customers want that feature.
A larger brand starts advertising heavily, so you assume customers are being persuaded by the brand.
The problem is that businesses see their own offering from the inside.
They know every feature, investment, policy, promotion, and improvement.
Customers don’t evaluate the business that way.
They experience a sequence of small interactions.
They try to book.
They wait for an answer.
They compare prices.
They cancel an appointment.
They ask for help.
They encounter a policy.
They decide whether the experience is worth the effort.
One small source of friction can outweigh several features the business considers important.
That’s why competitor research should not begin and end with competitor research.
Your competitor can tell you what they offer.
Your former customer can tell you why that offer mattered.
Don’t Ask Customers to Grade Your Business
A question like
“What does our competitor do better than us?”
sounds useful, but it can turn the conversation into a feature comparison.
Instead, reconstruct the customer’s decision.
Start with the timeline.
1. “When did you first start thinking about leaving?”
This tells you when dissatisfaction or reconsideration began.
2. “What was happening around that time?”
Look for changes, frustrations, events, or unmet expectations.
3. “What alternatives did you consider?”
This can reveal competitors you weren’t even tracking.
4. “What ultimately made you choose the other business?”
Now you’re getting closer to the competitive advantage.
5. “Was there anything about our business that made staying difficult?”
This gives the customer an opening to discuss your weaknesses directly.
6. “What happened that finally made you decide to switch?”
This helps identify the trigger rather than just the general dissatisfaction.
7. “If we had fixed the biggest problem you experienced, would you still have left?”
This is one of the most useful questions because it tests whether the problem was actually decisive.
8. “Is there anything I haven’t asked that you think we should understand?”
Leave room for something you didn’t anticipate.
You don’t need to ask these questions like a formal questionnaire.
Let the customer tell the story.
Your job is to notice where the story becomes specific.
Don’t Lead the Customer Toward Your Hypothesis
Suppose you’re convinced customers are leaving because you don’t have a mobile app.
You call a former customer and ask:
“Was the lack of an app the reason you left?”
You may get a yes.
But you’ve contaminated the answer.
The customer may simply agree because the suggestion sounds plausible.
Instead, ask:
“What was difficult about using our service?”
If they mention booking, ask:
“What was difficult about booking?”
If they mention having to call, ask:
“When did that become a problem for you?”
Follow their answer rather than supplying your own.
The more specific the conversation becomes, the more useful the information is.
“Your service was inconvenient” isn’t particularly actionable.
“I usually decided whether to attend after work, but I couldn’t book because nobody answered the phone”.
“Your prices were high” is incomplete.
“I was paying more, but I didn’t feel I was getting anything additional that mattered to me” tells you much more.
Look for Friction, Not Just Complaints
Customers often use broad words:
- expensive
- inconvenient
- slow
- complicated
- outdated
- difficult
- better
- easier
These are starting points, not findings.
If someone says the competitor is “more convenient,” ask what convenience means in practice.
Maybe it means:
“I can book from my phone.”
Or:
“They’re open later.”
Or:
“I can cancel without calling.”
Or:
“Their location is on my way home.”
Those are four completely different problems.
The goal of the interview is to turn vague language into observable behavior.
A useful rule is
Don’t stop at the adjective. Ask for the event that made the adjective true.
Instead of “What was inconvenient?”
Ask:
“Can you walk me through the last time that happened?”
Specific incidents are often more revealing than general opinions.
What If Customers Give Contradictory Answers?
This is where many businesses make another mistake.
Suppose you interview eight former customers and hear:
- three mention prices
- two mention locations
- Two mention customer service
- One mentions a missing feature
It’s tempting to declare that the interviews didn’t tell you anything.
They did.
You just don’t have one dominant reason yet.
First, separate different customer segments.
Perhaps the price-sensitive customers are newer customers, while long-term customers are leaving because of service.
Perhaps customers who live nearby complain about booking, while customers who commute complain about location.
Perhaps customers who switched to one competitor care about price, while customers who switched to another care about availability.
Don’t force different customers into one explanation.
Then look for combinations.
A customer may say:
“The competitor was cheaper.”
But later explain:
“I was already annoyed by the booking process, and then I saw their lower price.”
Another customer might say:
“I liked their location.”
A third might say:
“I could book whenever I wanted.”
Individually, those answers look unrelated.
Together, they may point to a broader issue:
The competitor requires less effort from customers.
That’s a meaningful pattern even though nobody used those exact words.
When should you trust a pattern?
Don’t decide based purely on a vote.
Four people mentioning “price” isn’t automatically more important than two people describing a serious service failure.
Consider three things:
Frequency: How often does the issue appear?
Severity: How strongly did it affect the decision?
Specificity: Can customers describe exactly how it affected them?
A problem mentioned by three people who each describe the same real-world consequence may be more valuable than a vague complaint mentioned by six.
You are looking for decision-changing patterns, not just the most common words.
Talk to Recent Customers First
You don’t need to contact every customer who has ever left.
Start with five to ten recent departures.
Recent customers are more likely to remember what happened and which alternatives they considered. A smaller group is also much easier to contact, which makes it more likely that you’ll actually complete the research.
If possible, include different types of customers:
- recent customers
- long-term customers
- high-value customers
- customers who left suddenly
- customers who explicitly mentioned a competitor
- customers who gave no clear reason for leaving
You don’t need a statistically perfect sample.
At this stage, you’re trying to discover what you didn’t know to look for.
Once you identify possible patterns, you can investigate them more systematically.
Make the Conversation Safe for Honest Answers
Former customers may assume you’re calling to sell them something.
Remove that assumption immediately.
You can say:
“I’m not calling to try to win you back. I’d genuinely like to understand what happened when you decided to leave. You can be completely honest; I’m trying to learn from the experience.”
Then listen.
Don’t defend the business.
Don’t explain why the customer’s complaint happened.
Don’t promise a fix while they’re talking.
And don’t turn the interview into a negotiation.
If someone says your service was frustrating, your job isn’t to convince them that it wasn’t.
Your job is to understand what they experienced.
You can analyze the feedback later.
Turn Interviews Into a Simple Evidence Table
After each conversation, record what you heard.
For example:
| Customer | Stated reason | Underlying problem | Switching trigger | Competitor advantage |
|---|---|---|---|---|
| A | Price | Felt poor value | Saw a cheaper plan | Lower price |
| B | Convenience | Couldn’t book after work | Missed desired class | Mobile booking |
| C | Convenience | Phone-only booking | Needed last-minute booking | Mobile booking |
| D | Price | Booking was frustrating. | The competitor offered an easier process. | Mobile booking + lower price |
| E | Scheduling | Limited evening options | Found later classes elsewhere | Longer hours |
This is much more useful than a simple list saying:
Price: 3
Convenience: 2
Scheduling: 1
The second version counts words.
The first version captures decisions.
That distinction matters.
Don’t Automatically Copy the Competitor
Finding a competitive advantage doesn’t mean you should reproduce it.
Suppose customers love a competitor’s mobile app.
Before spending six months building one, ask:
What problem does the app solve?
If the answer is “customers want to book outside business hours,” perhaps you don’t need a sophisticated app.
You might only need online booking.
That’s an important distinction:
Copying the feature is not the same as solving the problem.
The customer doesn’t necessarily want your competitor’s technology.
They want the outcome that technology provides.
This keeps customer research from turning into an endless list of competitor features you feel obligated to match.
Choose One Change to Test
Once you understand the pattern, resist the urge to redesign everything.
Choose the problem with the strongest combination of:
- frequency
- impact on customer decisions
- ability to fix
- cost of fixing
- potential business value
Then make one change.
If booking is the problem, test online booking.
If response time is the problem, improve the response process.
If evening availability is repeatedly mentioned, test additional evening hours.
If customers misunderstand your pricing, change how the offer is structured or presented.
Then measure what happens.
Talk to new customers.
Monitor cancellations.
Ask departing customers what influenced their decision.
If the original complaint becomes less common, that’s evidence.
If another problem becomes more prominent, that’s evidence too.
The process is not
Interview → fix everything → hope.
It’s:
Interview → identify a pattern → test one change → observe → interview again.
Sometimes the Answer Is Something You Can’t Fix
Not every competitive advantage is worth eliminating.
A competitor may genuinely have:
- more locations
- lower costs
- a stronger brand
- a larger selection
- better geographic coverage
- a price you cannot profitably match
- a feature that would be too expensive to reproduce
That’s still useful to know.
Customer research isn’t valuable only when it produces an easy fix.
It can also tell you where not to spend your time.
If customers consistently choose a competitor because it’s closer, stop redesigning your pricing.
If they choose it because it is significantly cheaper, decide deliberately whether you want to compete on price.
If they choose it because of one missing feature, calculate whether building that feature makes business sense.
The objective isn’t to eliminate every reason customers might leave.
It’s to understand which reasons actually matter.
The Most Valuable Question Isn’t “Why Did You Leave?”
“Why did you leave?” is a good starting point.
But the deeper question is
“What made the alternative easier to choose?”
That question moves the conversation away from generic complaints and toward the customer’s actual decision.
The answer may be price.
It may be convenience.
It may be trust.
It may be availability.
It may be one frustrating process that your business never considered important.
Once you understand that, you can make a much better decision about what to change—and what to leave alone.
Conclusion
When customers choose a competitor, the obvious explanation is often only part of the story.
Price may be the stated reason.
A promotion may be the trigger.
But underneath both could be something else: a difficult booking process, slow responses, inconvenient hours, an inflexible policy, or a competitor that simply requires less effort.
That’s why guessing is such a poor substitute for customer research.
Start with a small group of recent customers. Ask them to reconstruct the decision rather than simply explain it. Separate the symptom, underlying problem, switching trigger, and competitive advantage. Turn vague complaints into specific events. Look for patterns without forcing contradictory answers into one conclusion.
Then test one change.
The goal isn’t to copy your competitor.
It’s to understand why a real customer believed the competitor was the better choice.
Sometimes the answer will confirm what you suspected.
Sometimes it will expose a problem you never noticed.
And sometimes five honest conversations will show you that you’ve spent months trying to solve the wrong problem.
That’s the kind of competitive intelligence you can’t get from a pricing page or spreadsheet.
FAQ
How many former customers should I interview?
Start with five to ten recent customers. You’re not trying to produce a statistically representative study at this stage. You’re looking for recurring patterns, specific examples, and unexpected reasons that deserve further investigation.
What if every customer gives me a different reason?
Don’t force them into one category. Segment the answers by customer type, competitor, timing, and situation. Then look for patterns in the circumstances surrounding the decision. Different answers can reveal that different customer segments have different reasons for leaving.
How do I know whether price is really the reason?
Ask what happened before the customer saw the price difference and what made the difference important. Then ask whether they would have stayed if your price had been the same. This helps separate price as a genuine cause from price as the final trigger.
Should I use a survey or interview customers personally?
Use interviews when you’re trying to discover why customers made a decision. Conversations allow you to ask follow-up questions and investigate vague answers. Once you’ve identified recurring reasons, a survey can be useful for measuring how widespread those reasons are.
Should I offer an incentive for an interview?
You can, particularly if former customers are difficult to reach, but keep the incentive separate from any attempt to win them back. The purpose of the conversation should remain research, not sales.
What if the problem customers identify isn’t something I can fix?
That’s still valuable. If the reason is outside your control, you can make a deliberate decision about whether to compete differently, accept the trade-off, or focus on customers who value something else. Knowing what you cannot change is better than repeatedly trying to fix the wrong thing.
What is win/loss analysis?
Win/loss analysis is a structured way of studying why customers choose your business or a competitor. The same basic approach can be applied outside formal sales teams: talk to people who made the decision, reconstruct what influenced them, identify patterns, and use those findings to improve decisions.
