Mobile-first, omnichannel retail solutions that set the new standard for genuine, inspiring customer engagement.
North America, Europe
Joined March 2013
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Strong customer relationships drive loyalty. But how do you build them at scale?
Discover the right approach for your retail business with Tulip’s Clienteling Readiness Quiz, plus a tailored playbook and 90-day action plan.
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Building a clienteling program doesn’t mean starting over. Your customer data, loyalty tiers, and milestone messages are the foundation. What’s missing is ownership of 1:1 follow-up.
How to tell if you’re ready, and the first three steps: na3.hubs.ly/y0FJX00
ALT New blog: Building retail customer engagement from the ground up
Hot take: retail AI should make associates better, not replace them.
63% more spend per month comes from context, not automation.
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The first sale rarely pays back what it cost to win. The margin lives in every sale after it. Here's where the retailers pulling ahead are investing instead of acquisition: na3.hubs.ly/y0F7Xl0
Retailers are no longer asking what AI can automate. They're asking what should stay human.
In clienteling, that's the relationship. AI belongs around the conversation, not inside it.
Tulip AI suggests, and your team decides.
See how it works: na3.hubs.ly/y0DCSl0
See Tulip AI in the associate workflow: na3.hubs.ly/y0DCMj0
The full post: na3.hubs.ly/y0DCRl0
Relationship selling in retail runs two ways. The relationship lives with an associate, or it lives with the store. Both work, but four principles make relationship selling work harder: na3.hubs.ly/y0DwYT0
Reaching the right customer does not only close the sale. It raises it.
At a global fashion brand, orders influenced through Tulip carried 1.6x the brand's overall.
Frequency is the obvious gain. Basket size changes the business case.
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Your POS was built to end the visit. A point of service treats that moment differently. The sale updates what the store knows. Twenty transactions show a pattern an associate can act on. Four considerations for making the shift. na3.hubs.ly/y0Cgr_0
Same customers. Same offer. Two very different results.
Personal follow-up from associates: 59% conversion. Email to a similar audience: barely 1%.
Same channel. What changed is whether the associate knew what the customer bought last.
👉 na3.hubs.ly/y0BRmZ0
Industry benchmark for clienteled customers: 2-5%. One global fashion brand hit 14.55% while broader sales fell.
Not traffic. Not discounts. Associates who knew which customer to reach, what they bought, and what just arrived.
The full case study: na3.hubs.ly/y0B0Ms0
If a customer's first purchase loses money, the only fix is to ensure a reliable second one. That repeat purchase is driven by the associate who takes time to get to know the customer. na3.hubs.ly/y0yP_b0
The store still wins — EY data confirms luxury clients prefer in-person for the human connection. But with 35% of occasional shoppers already pulling back, price alone won't save the category. The reset is the relationship. Full picture: na3.hubs.ly/y0yH8t0
The most valuable thing AI can do in retail is not replace the associate.
It is give them the time and context to build the human connection your brand cannot buy back once it is gone.
More in our blog on what AI-assisted clienteling means: na3.hubs.ly/y0x-8L0
