What I like best about Mouseflow is how it makes it easy to see exactly what our shoppers are doing on our Coastal Thread Apparel store, instead of just staring at generic numbers. I’m the E-Commerce & Operations Manager here, so I’m juggling new apparel launches, inventory checks, customer marketing, and constantly testing different SaaS tools for our fashion brand. Before Mouseflow, I could see our Shopify backend showing traffic and sales, but I had no real clue why people would add a tee or hoodie to their cart and then leave before checking out.
The session recordings and heatmaps are my go-to. I don’t need a dedicated data analyst to understand what I’m looking at. A couple months back we dropped a new linen shirt collection, and we were shocked that cart abandonment was way higher than normal. Our ad traffic was solid, people were clicking through, but barely anyone finished buying. I pulled up Mouseflow recordings and quickly spotted the issue. Shoppers kept clicking the size chart thumbnail expecting a big pop-up with measurements, but it only opened a tiny blurry image. A ton of users tapped back and forth, got frustrated, and bailed. We fixed the size chart right away, and abandonment dropped within a week. That’s the kind of issue I never would’ve caught just from sales reports.
I also really love the friction alerts and rage click tracking. It flags when visitors repeatedly click the same spot with no response. For a fashion brand, that’s gold. We run limited flash sales, and our site gets busy fast. Last month during our summer sale, Mouseflow alerted me that multiple shoppers were rage-clicking our discount code field. Turns out the promo box was hidden below the fold on mobile. We moved it higher on the checkout page, and way more customers applied the code successfully.
It plays nicely with our Shopify store, and the setup was straightforward enough that I didn’t have to bug our developer for hours of help. I can build simple funnels to track journeys from our Instagram ads all the way through checkout. It helps me separate regular retail shoppers from our wholesale clients too, since their site behavior is totally different.
Since part of my job is testing and comparing marketing and analytics tools, I appreciate that Mouseflow stays focused on real user behavior, without all the overcomplicated features we’ll never use. It helps me make smarter calls for product pages, checkout flows, and landing pages for our new apparel drops. Instead of guessing what’s stopping people from buying, I get to watch it happen. That saves me so much wasted time and keeps our conversion work grounded in how actual shoppers use our store. Review collected by and hosted on G2.com.
First off, the filtering for visitor segments can be really clunky to work with. Our site traffic is always a mix of regular retail shoppers and our wholesale buyers, and half the time I only want to pull up wholesale sessions to see how they’re navigating our bulk ordering process. Our wholesale clients land on their dedicated portal through a unique link, so logically it should be simple to isolate that group, but building that filter inside Mouseflow takes way too many clicks and rule setups. A few weeks back, I was trying to go through sessions from wholesale clients filling out our bulk order form ahead of our fall buying window. No matter how I adjusted the filter rules, random retail shoppers still kept popping up in the results. I sat there tweaking conditions over and over, testing different URL rules, and still couldn’t get a clean set of recordings. That whole task dragged on much longer than I planned, and it pulled me away from prepping assets and inventory plans for our fall hoodie launch. I was already swamped that week, so losing that time was a real headache.
I also find the reporting exports pretty limited for what I need. Every week we have a quick team check-in, and I’m supposed to bring a clear recap showing where shoppers get stuck, where they drop off, and any new pain points we found on the store. The default built-in reports are okay for a high-level glance, but they don’t let me zero in on the custom metrics that actually matter for our apparel brand. What I really want to see is cart abandonment broken out by each product collection — our linen tops, denim line, seasonal hoodies, all separated out. Mouseflow just doesn’t surface that neatly. There’s no quick way to group sessions by collection right inside the dashboard. So every single time, I have to export the raw session data as a CSV, dump it into Google Sheets, and manually sort, label, and clean everything up myself. It’s super tedious work. When we just wrapped a busy flash sale and I’m buried with follow-up tasks, this manual sorting eats up time I simply don’t have. I wish I could just pick the collections I care about and generate a ready-to-share snapshot instantly, instead of building the report from scratch every week.
It’s not that the tool is bad. The session replays and rage click alerts still help me spot real shopper frustrations. But these two pain points slow me down constantly. Segmenting wholesale traffic and building retail-specific reports are things I need all the time, and Mouseflow just doesn’t make it easy. When I’m juggling launches, inventory checks, and marketing campaigns, these extra manual steps really add up. Review collected by and hosted on G2.com.
Thank you for such a detailed and thoughtful review! We’re glad Mouseflow helped you uncover issues like the unclear size chart and hard-to-find discount field and, most importantly, turn those insights into improvements for your shoppers.
We also appreciate your honest feedback about segmentation and reporting. Having to repeatedly adjust filters or manually organize exported data takes time away from more important work. We’ll share these points with our Product team.
In the meantime, please feel free to contact our Support team so we can review your wholesale traffic setup and explore ways to make your current reporting workflow easier.
Thank you for choosing Mouseflow and for helping us improve!
