Users report that Dataslayer.ai excels in Quality of Support with a score of 9.5, while Mode scores 8.9. Reviewers mention that Dataslayer.ai's support team is responsive and knowledgeable, making it easier for users to resolve issues quickly.
Reviewers mention that Dataslayer.ai offers superior Ease of Use with a score of 9.1 compared to Mode's 8.7. Users say that the intuitive interface of Dataslayer.ai simplifies the analytics process, allowing for quicker insights.
Users on G2 highlight that Dataslayer.ai provides better Campaign Tracking features, scoring 9.3 versus Mode's 8.6. Reviewers mention that the ability to track multiple campaigns seamlessly is a significant advantage for marketing teams using Dataslayer.ai.
Reviewers say that Mode shines in Custom Reports and Dashboards with a score of 9.0, while Dataslayer.ai scores 9.4. Users report that Mode's flexibility in creating tailored reports is a key feature that enhances their data analysis capabilities.
G2 users report that Dataslayer.ai outperforms Mode in Data Collection with a score of 9.2 compared to 8.3. Reviewers mention that Dataslayer.ai's robust data collection methods allow for more comprehensive analytics.
Users say that Mode has a slight edge in Performance and Reliability with a score of 9.0, while Dataslayer.ai scores 8.9. Reviewers mention that Mode's consistent uptime and performance metrics are crucial for businesses relying on real-time data.
Pricing
Entry-Level Pricing
Dataslayer.ai
Looker Studio
Starting at €25.00
Per Month
Connect all your digital marketing platforms with Data Studio to create amazing dashboards.
All our plans offer unlimited users and connectors. We just limit by daily API calls.
Are you considering implementing SEMRush data into Dataslayer?
1 Comment
Official Response from Dataslayer.ai
Hello,
Yes, SEM Rush is already on our roadmap and it is estimated for the first quarter of 2023. You can vote for it here to give it more priority in our...Read more
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Put simply, data teams move faster in Mode. In Looker, teams have to decide upfront how to model their data, instead of working with data first and then...Read more
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