Klaviyo Agency in Leicester
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Email that keeps up with the range
Leicester's garment trade means a concentration of fashion brands working at speed: new ranges constantly, tight production cycles, and a customer who expects to see something different every time they look.
That pace punishes slow email. By the time a campaign is designed, approved and scheduled, the range has moved on. Meanwhile the flows are still recommending products that sold out three weeks ago, which makes the brand look asleep.
Dynamic product blocks are the answer to most of it. Instead of hard-coding products into a flow, the email pulls live from the catalogue at send time, so it shows what's actually in stock and relevant rather than what was current when it was built.
Back-in-stock and low-stock alerts matter more in fashion than almost any category, because scarcity is real rather than manufactured. Done properly they're among the highest-converting emails a fashion brand can send.
Klaviyo for fashion brands
One of our founders worked inside Klaviyo, so we know what a healthy account looks like when the catalogue never sits still.
We work remotely with East Midlands fashion brands, and you deal directly with the people doing the work.
Take us on for the full programme or slot us in beside your existing team. Either way, what Klaviyo learns can feed your wider marketing automation and your paid channels too.
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3 Steps to Smarter Automation
Audit & Assess
We look at your existing flows, campaigns and segments to find what's underperforming and why. If you're starting fresh, we map out your customer data sources and build the full account structure before anything goes live.
Consultation & Onboarding
We agree on which flows to build first, connect your data sources and get your Klaviyo account linked to your other marketing channels. Most clients are live and sending within two weeks.
Launch, Optimise, Learn
We build and launch your flows, then our agentic AI monitors performance - tracking which sequences drive revenue, flagging drop-off points and suggesting improvements. Your automation gets more precise the longer we run it.
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