G2

Verified User in Retail

Mid-Market (51-1000 emp.)

8/8/2026

"Privacy-First Analytics with Room for Improvement"

4/5

What do you like best about Samhub?

What I value most about Samhub is how privacy‑first it is right out of the box, which is non‑negotiable for us as a German retail company constantly working under GDPR rules. A lot of other analytics tools force you to dig through endless nested menus and flip dozens of switches just to turn off unnecessary visitor data collection. With Samhub, I can toggle off extra tracking features really quickly, so I spend way less time tweaking privacy‑related settings and worrying whether we’re collecting data we shouldn’t be. Another huge plus for my day‑to‑day marketing work is how easily I can pull separate metrics for each of our retail promotion landing pages. We’re almost always running several campaigns simultaneously — seasonal home‑goods sales, new‑product launches, flash discounts, and member‑only shopping events. Before, I would get jumbled site‑wide numbers and struggle to tell how one single promotion was actually performing. Now I can look directly at traffic sources, visitor volumes, and drop‑off behaviour for every individual campaign page. For example, during our recent fall promotion, I could instantly tell which social channels sent us the most interested visitors, and that helped me adjust our follow‑up customer outreach. I also really like how simple its export feature works. Every week I download anonymized CSV traffic logs, then file those reports inside SideDrawer. These files become part of our regular marketing project records and serve as audit‑ready evidence for our internal GDPR reviews. We never feed any identifiable customer data from our Nutshell CRM into Samhub, everything stays strictly separated. We don’t even touch its fancy advanced audience tools, since those features are overkill for our workflow. At the end of the day, Samhub gives us solid, actionable campaign‑level traffic insights without all the confusing, high‑risk configuration overhead. Review collected by and hosted on G2.com.

What do you dislike about Samhub?

While Samhub serves our core GDPR-friendly retail analytics needs pretty well, it has several noticeable functional gaps that create extra manual workload for my marketing and customer engagement tasks at HandelCentrum West GmbH. The biggest limitation I run into on a weekly basis is its lack of flexible comparative reporting tools. As a retail team, we constantly run overlapping campaigns — seasonal sales, new product launches, member-exclusive promotions, and limited flash deals. I often need to analyze and compare visitor behavior, traffic sources, and page performance across multiple active landing pages. Unfortunately, Samhub does not support multi-page comparison or period-over-period analysis natively inside the dashboard. There’s no quick way to view which campaign drove higher-quality traffic or which promotion had the highest bounce rate. To get these comparisons, I have to export individual data files for every single landing page, then manually compile and analyze everything in Excel. This adds significant repetitive work, especially during peak retail seasons when we have several live marketing initiatives running at once. Another downside is the tool’s very basic visualization system. The default dashboards are extremely generic and offer no retail-specific customization options. I cannot create custom widgets for product category performance, campaign conversion trends, or monthly traffic growth. All I get is plain, static data displays, which means I have to manually reorganize and interpret data before sharing marketing insights with our team leads. It makes preparing weekly and monthly marketing reports far less efficient. Review collected by and hosted on G2.com.

What problems is Samhub solving and how is that benefiting you?

Before we started using Samhub, our old analytics tool created a bunch of extra headaches for our small marketing team. We spent hours every week cleaning up exported datasets to strip out unwanted visitor metadata, just to make the files safe for GDPR archiving. It was also really hard to isolate clean numbers for our different retail promotions. When multiple sales campaigns were live at the same time, our reports would mix data from all landing pages together. I had to spend lots of time manually sorting and filtering spreadsheets just to figure out how each individual offer resonated with our webshop visitors. Samhub fixes both of these pain points. Thanks to its built‑in anonymous tracking, we get cleaner output straight away, and I no longer need to waste large chunks of time scrubbing exports for compliance purposes. I can pull standalone metrics for each campaign landing page without data bleeding over from other active promotions. This saves me quite a few hours of repetitive spreadsheet work each month. With those clear insights, I can make better‑informed decisions for our retail marketing. I can tweak our email outreach inside Nutshell, shift budget toward better‑performing traffic channels, and fine‑tune our landing‑page content. All the while, we keep our customer‑identifiable data fully locked away in our CRM, lowering our overall GDPR risk for the whole retail operation. Review collected by and hosted on G2.com.