The Dreamdata Blog
The state of martech 2021: a conversation with martech guru Scott Brinker
Dreamdata’s CRO, Steffen Hedebrandt sits down with Scott Brinker to discuss unfolding trends and challenges taking place in the martech space. Over 30 minutes they cover topics ranging from the emerging no-code landscape, the rise of ‘Big Ops’, and likely trends for 2021.
Why B2B companies should stop using Google Analytics as their data-compass for growth
Dreamdata secures $4.4 million in Seed funding
Podcast 🎧: How To Map The Customer Journey and Attribute Revenue 💰
The Cost of Waiting - Which Ads should B2B marketers scratch and scale post COVID-19?
Scale ad spend during a recession, really? It’s time to focus on the activities that drive revenue - and to shut down those that do not provide a direct impact on revenue.
Product launch: Attribution to Pipeline 📊
Product launch: The Deal Inspector 🔎
Podcast 🎧: “We’re the tech person for the CMO”
Time to Revenue: The One KPI You Should Strive to Really Know
Video 🎥: Google BigQuery as an engine for B2B attribution and revenue analytics
Podcast 🎧: Earnworthy - B2B Attribution and Revenue Analytics
Why Traditional Tracking And Attribution Models is Killing your B2B Growth (And How to Solve It)
Event 📅: Introduction to Segment and Customer Data Infrastructure Platforms (CDI's)
The DIY-guide to tracking your B2B ABM funnel 🛠
Attribution across the B2B chasm
Podcast 🎧: How to prove the value of your tech product with data
What do you do when you’re in a situation where: Your product handles millions of visits a month, you generate thousands of B2B emails, but sales get all the credit for your companies revenue?
Well, for Ole Dallerup, Dreamdata CTO and cofounder, the answer was simple: Let’s prove our argument with data. In this episode of the Developer on fire podcast Ole Dallerup goes deep into the topic of value in relation to technology.
Podcast 🎧: Dreamdata on the B2B revenue leadership show
In the podcast, Lars touches upon: why B2B attribution is messy and demands good data, what’s a good B2B attribution model, why judging your efforts based on Google Analytics is dangerous, why all leads are definitely not equal worth, how to align sales and marketing based on revenue, and much more.
The (technical) recipe for measuring the lifetime value of B2B ads
Most companies get the point by now. Digital ads are smart and measurable. The more buyers, the higher price. What looked nice a year ago probably doesn’t anymore. Actually, if you don’t understand the lifetime value of your B2B ads, your data-driven growth is looking at an insecure future.
But don’t fret just yet; we have made a solid recipe for understanding the lifetime value of your B2B ads.
Post Intelligent tracking prevention (ITP); Here are 4 things you can do to improve your tracking
ITP applies to Apple-owned iOS and browsers. The good news is that there are tangible actions you can take to deal with both current challenges as well as prepare for future ones. In this post we suggest 4 things you can do to get your tracking ready for the future.
How to do attribution with Segment
At Dreamdata, one of the partners, we regularly recommend companies who are serious about growth, to use Segment.com as their customer data infrastructure. With Segment you plugin all your customer data and clean, collect, and control it.
This means you can integrate all of your favorite tools and move their data to where it’s needed ie. send it to Google Big Query (a data warehouse) as one part of building your own analysis.