Dataslayer.ai Pricing Overview

Dataslayer.ai has completely streamlined my reporting workflow. As a freelance media buyer managing Google Ads, Meta Ads, TikTok Ads, and LinkedIn campaigns for multiple clients, I use Dataslayer daily to centralize all performance data in Google Sheets and Looker Studio. The platform is very easy to implement since most connectors work right away and the interface feels intuitive from the start. I really value the scheduled refresh feature because it saves me hours each week and keeps all dashboards updated automatically. Compared to other tools like Supermetrics, it's much more affordable and delivers great value. Their support team is responsive and keeps improving the product consistently. Review collected by and hosted on G2.com.

Sometimes when platforms like Meta or TikTok change their APIs, it takes a little time for the connectors to catch up, but that’s something I’ve seen across most similar tools. I’d love to see better integration with CRMs and more advanced attribution options to track the full user journey. Still, it’s clear the Dataslayer team is actively working on improvements and rolling out useful updates. Review collected by and hosted on G2.com.

I use Dataslayer daily to update the data received from platforms and insert them into our database. The main reason we continue to use Dataslayer is the ease of automating processes: we schedule the execution of queries for the start of the day, around 6 in the morning, and when we start working, everything is ready for use. This makes it much simpler to gather information from the platforms we use in the agency, such as Google Ads, Meta, Bing, and GA4 (among the various other platforms I've seen on the list but never used). Without Dataslayer, we would have to do this work manually every day. Another advantage is the ease of reprocessing the data. From time to time, we change the way we handle information internally and need to fetch everything again. With Dataslayer, just adjust the desired period and it does the rest automatically. The implementation is also simple: recently, I lost access to the corporate computer and needed to reprocess data. I was able to do this easily from my personal computer, just by accessing the website and logging in with my credentials. The support is also efficient; whenever we had any problems, we contacted the person in charge and received quick responses. Review collected by and hosted on G2.com.

Depending on the volume of data, processing can be quite time-consuming, taking up to half an hour, especially when it is necessary to reprocess extensive periods, such as an entire year. Additionally, some APIs exhibit operational failures. Although there is support from Dataslayer, in practice it cannot connect and extract the data correctly, as happens, for example, with Bing. Review collected by and hosted on G2.com.