SKU IQ vs Datadot: Which is a better fit?

I feel really confident in using their platform thanks to the amazing onboarding experience. Our company has referred several other CPG brands to try them out and everyone agrees - SKU IQ is superior.

In the beginning there was a problem which took a while to be figured out. Caused some malfunctioning of the software and a lot of false inventories.

The customer service was amazing. Very helpful and worked with me through all my issues.

When the interface doesn't work, it is difficult to maintain inventory management between the two systems.

The easy of use is the most important to me. The integration with Shopify and Tiktok was seamless.

We have had a few weird issues where our software has become uninstalled. SKU IQ can quickly fix it, just a little time consuming to have to contact them in order to do so.

Really good and helpful costumer service. I'm new using the app and so far is a 10/10 the app provides all the information and tutorial you need to fulfill all your requests.

I didn’t find most of it hard. I guess I had to delete some repeaters manually but that’s it.

What I liked most about Datadot was their exceptional attention to detail and their commitment to delivering results that positively impacted our e-commerce business.

In Datadot, reviews that contain only points and no comments reflect negatively and I think this can lead to incorrect outputs.

Ease of price comparison. Team is very good at their jobs, always advising the e-commerce teams about the tool and guiding them at every step.

Actually no “least” about datadot because if you tell , then team develop it immediately.

Ease of use and practicality is the things I like the most about Datadot.

If you are just focusing on a single marketplace, it's not as valuable since most marketplaces now have in-depth pricing tools that are similar to Datadot.

Datadot is very useful for us in analyzing customer comments. We can identify the issues that are most important to customers and easily determine where we need to take action.

Since I had difficulty in interpreting the analyzes and filtering the products, I did not find the data interpretations in the panel very understandable.