A single source of truth for three teams at a 1,000+ SKU Shopify Plus brand

Pashion Footwear was founded by Haley Pavone in 2016, after a stiletto injury on a dance floor left her wondering why women had to choose between all-day comfort and heels. After two and a half years of R&D, she launched the world's first fully convertible high heel, a shoe that turns into a flat in under five seconds, in 2019. Pavone turned down a Shark Tank offer over the terms and grew Pashion into an eight-figure brand almost entirely on organic content and word of mouth. Today a team of nine runs marketing, ecommerce, and merchandising, collaborating remotely from cities across the US.

When the catalog outgrew the spreadsheets

As Pashion's catalog grew past a thousand active SKUs across core, markdown, and new styles, the hard part stopped being any one channel and became coordination across all three teams. Marketing needed to know what to promote. Ecommerce needed to know what was actually converting on site. Merchandising needed to know what was selling through and what needed to be marked down or reordered. Each team worked off its own export of the same underlying numbers, and by the time those exports were reconciled across three spreadsheets, the catalog had usually already moved: performance varied widely between styles, some products moved fast enough to need restocking while others sat overstocked and unpromoted, and no one team had a fast enough read to catch it in time.

One shared workspace for three teams

Marklo gave Pashion one shared workspace connecting campaign planning, product analytics, and AI-powered recommendations, so all three teams could work from the same view of the catalog.

That shared workspace was possible because Marklo brought together the pieces each team used to track separately. Campaign planning tools showed marketing exactly which past promotions, offers, and content had driven conversion, so new campaigns could be built around what had already proven to work instead of starting from a blank page. Product analytics, broken out by SKU and lifecycle stage (core, markdown, new), gave ecommerce and merchandising a live read on what was selling and what wasn't, so decisions were built around real performance rather than what looked good in a deck. AI-powered recommendations flagged what to promote, restock, or mark down across the full catalog, turning that shared read into a clear next step for whichever team needed to act on it. And because all three teams were looking at the same numbers, a recommendation could move straight into a live campaign or a markdown, rather than sitting in a spreadsheet waiting to be reconciled across departments.

The results

"My team has been absolutely raving about Marklo. We weren't missing data — we had Shopify, Klaviyo, and a reporting tool already. What we didn't have was one place that connected what was selling, what was actually in stock, what we'd already promoted, and what made sense to run next. Marklo is the first tool that puts all of that in one picture instead of four." Haley Pavone, CEO, Pashion

For a company managing a catalog of over a thousand SKUs across core, markdown, and new lines, the shift wasn't just faster reporting — it was marketing, ecommerce, and merchandising finally working from the same numbers, in the same place, at the same time.