Leigh Sevin said something every scaling CEO needs to hear earlier than they usually do.
“Done is better than perfect.”
That sounds simple. It is not.
Most early-stage teams spend too much time hiding the rough edges. They want the product to look finished before the market sees it. They want to avoid exposing the “pock marks,” as Leigh put it.
That instinct feels smart. It is usually expensive. Because the only opinion that really matters is the market’s.
Leigh said it directly: “The only thing that determines if something is right is whether the people you’re targeting want it or like it.”
That is the whole game.
Clienteling Is Just CRM With Consequences
Leigh is the co-founder and CEO of Endear, an omni-channel clienteling platform for retail brands. Clienteling is a retail term, but her definition cuts through the jargon.
It is “good CRM practices.”
In practice, it means using customer knowledge to drive targeted outreach that increases traffic, sales, average order value, and retention.
The reason this matters in retail is that physical stores often have a hidden weakness. Once a customer walks in, stores can perform incredibly well. Conversion rates are high. Return rates are low. Average order value is strong.
But stores usually cannot control top-of-funnel traffic.
As Leigh put it, even if conversion is outstanding, “if only four people decided to walk in that day, even at 100%, they’re not hitting their sales goals.”
That is the gap Endear closes. It gives retail teams a way to influence traffic instead of waiting for it.
The Blind Spot In Omnichannel Retail
One of the strongest points in this conversation was Leigh’s view of what most brands get wrong.
They treat physical and digital like they are one business when, operationally, they are often not.
- Different teams.
- Different incentives.
- Different tools.
- Different buyers internally.
That matters because when CEOs talk about “omnichannel,” they often imagine a unified customer experience. But inside the company, the org chart does not match the ambition.
Leigh learned that the real wedge for Endear was not the digital buyer. Digital teams are flooded with tools promising tiny optimization wins.
The retail buyer, on the other hand, had more to gain and more to lose. They had fewer solutions built specifically for them. That made the value proposition sharper.
This is a lesson a lot of CEOs miss. Product-market fit is not just about which companies you sell to. It is about who inside those companies feels the pain most acutely.
Scale The Behavior, Not Just The Tool
Leigh made another subtle but important point.
Brands often already have one store associate who is amazing at outreach. The problem is not proving the behavior works. The problem is making it repeatable across all stores and all people.
That is where software matters.
Endear is not just digitizing an idea. It is taking a high-performing human behavior and turning it into a scalable operating model.
That distinction is critical.
If you are building software for a business process, ask yourself:
- Are we inventing something entirely new?
- Or are we scaling something one great person already does well?
The second path is often faster because the value is already proven.
Integration Is Strategy
I asked Leigh about plugging into a crowded commerce stack that includes Shopify, Square, Klaviyo, Gorgias, and others.
Her answer was disciplined.
Start with what is a need-to-have. Then move to what is nice-to-have.
For Endear, the first requirement was transaction data. Without it, they could not show a true omnichannel purchase history. That meant they could not answer the questions that matter:
- Is this customer a VIP?
- Are they a repeat buyer?
- Are they discount-driven?
- What is their lifetime value across channels?
That is not just an integration question. It is a product truth question. If you cannot see the customer clearly, you cannot serve the associate or the brand intelligently.
Only after that foundation was in place did the broader communication stack become important.
That is a strong sequencing lesson. Integrations are not a feature checklist. They are a reflection of what your product must know to be useful.
The CEO Has To Learn To Let Go
When I asked Leigh about scaling herself, her answer was honest and refreshingly specific.
The moments when her team performed best were when she was unavailable.
Her honeymoon. Her maternity leave.
Why? Because her hands were fully off.
That forced the team to make decisions without waiting for approval. It created ownership. It gave them room to trust their instincts and act on behalf of the business.
Leigh compared it to parenting, and I think that is exactly right. You cannot micromanage every decision. At some point, you have to trust that the values, environment, and judgment you have built into the team will guide them when you are not there.
That is what scale requires.
Hiring Carries The Culture
Leigh also emphasized something I see all the time with strong founders: when you care deeply about culture, you stay deeply involved in hiring.
She and her co-founder have taken that seriously. And they should.
Because once the company gets large enough that you cannot personally guide every decision, the quality of the hiring process starts to determine the quality of the culture.
- Get hiring right and a lot of other things flow from it.
- Get hiring wrong and no values deck in the world will save you.
AI Inside The Company
Leigh’s approach to AI internally is one I would encourage many CEOs to copy.
She is not just telling the team to use AI. She is building a culture around experimentation.
Her company ran an internal AI challenge in Q4. Everyone had to pick a task from their daily work, solve or improve it using AI, present it to their department, and then have the best examples shared with the broader company.
That is excellent leadership.
It does three things well:
- It lowers fear
- It creates practical learning
- It turns AI from an abstract corporate initiative into a visible productivity tool
Leigh said they believe AI improves both time and quality. That is the right lens. Not novelty. Not hype. Better work, faster.
AI In The Product
The product vision was equally practical.
Endear is not trying to replace human selling. It is trying to make great store associates dramatically more effective.
Leigh gave a strong example. Imagine a customer within three miles of a store has items sitting in an online cart. The store has those items in stock. A store associate could reach out and invite that customer in to try them.
That kind of outreach is possible today, but too cumbersome to do consistently at scale.
AI changes that.
It can surface the right customer, the right context, the right inventory, and the right moment. The human still owns the relationship. The AI makes the opportunity visible and actionable.
That is a very strong model for product AI:
- Use AI to surface context
- Use humans to create trust
- Use both to drive revenue
What I Took From Leigh
Leigh’s episode is really about one discipline: stop hiding behind polish.
- Put it in front of the customer.
- Get the feedback.
- Find the real buyer.
- Scale the existing winning behavior.
- Build the integrations that matter.
- Teach your team to act without you.
And use AI to make strong people even stronger.
I Coach CEOs
If you are building a company and you feel the tension between speed and polish, or between founder control and team ownership, that is exactly where I work best with CEOs.
Together, we can:
- Build a decision cadence that gets your team moving faster without sacrificing judgment
- Clarify who your real internal buyer is so your go-to-market motion sharpens
- Strengthen your hiring process so culture scales with the company
- Create an AI adoption model that improves execution instead of creating noise
- Help you let go in the right places so the business grows beyond your direct touch
I am Glenn Gow. I coach CEOs. If you want to scale your leadership while keeping your company close to the customer and fast on its feet, reach out.
Listen to the full episode of The Scaling CEO here.
