I find that Dreamdata makes attribution simpler and straightforward. Outside of first or last touch, I've found that building a multi touch attribution system comes with some challenges. Dreamdata easily gives us visibility into how different channels, campaigns, and activities influence pipeline using an out of the box multi touch attribution approach. As an example, we can better attribute credit to LinkedIn ads influencing pipeline generation when previously, its influence was understated if we only used a last touch approach. This gives us a more complete picture of marketing's impact and helps inform where we allocate our budget.

The Activation Hub is extremely powerful and useful. Not only do we use syncs as conversion signals to quickly and efficiently optimize ad campaigns without tweaking with code on our website, we also regularly use Activation to monitor intent signals, send internal notifications, and steer ABM campaigns. Additionally, the recently added MCP capabilities, allows us to automate reports directly in Claude code. We set up a process there that creates and maintains up to date internal dashboards and exports data into our reporting tool (used internally and by investors). No manual work needed anymore for our team when it comes to reports.

I have been using Dreamdata for four years now. During that time, we’ve gone through different marketing systems, added new supporting systems, made changes to our paid engine, and even changed our ICP. At every step, we’ve still been able to map everything into Dreamdata and continue to see the full customer journey. Over a longer period, we also tried moving all the data into our PowerBI setup, but we were never able to replicate anything truly useful there. What I like most about Dreamdata is the ability to consistently connect marketing and sales touches directly to revenue. In recent months, I’ve used it to really drill down into our marketing channels, and then go even deeper into our paid campaigns and channels, to show the real story from MQL to revenue. Especially after the new AI analytics—which I was lucky to test—we can clearly see our black spots. That has made it much easier for me to go to leadership, show where the gaps are, and push for changes. I’ve always been data-driven, but Dreamdata makes it much simpler to get to the insights and tell the story.