Get started with Dreamdata
How it works
How set up Dreamdata Web tracking (analytics.js) manually
How to invite your colleagues to Dreamdata
How to set up up Dreamdata web tracking (analytics.js) using Google Tag Manager
How to track forms adding the auto-identify script via Google Tag Manager.
Onboarding for paying customers [VIDEO]
Onboarding process for free customers [VIDEO]
Setting Up Dreamdata
The Onboarding Process
What is Dreamdata? [VIDEO]
Content Performance - Dashboard Options
Which channel performs best for different content?
Which content generates pipeline?
Measuring influenced pipeline for B2B content - the true conversion metric
Setup Content Reporting
What KPI to measure the effect of B2B content?
Attribution Models- dashboard explanation
Data Driven Attribution
Types of Attribution Models
Google Display Ads
Google Search Ads
Return on Ads Spend
Performance vs. Revenue attribution: A guide on when to use what
Setting up AdRoll
Setting up Bing Ads
Setting up Capterra
Setting up Close
Setting up Data Export to BigQuery of CRM Properties
Setting up Facebook Ads
Setting up G2 Crowd
Setting up Google Ads
Setting up Google Search
Setting up Google Sheets
Setting up HubSpot
Setting up Intercom
Setting up LinkedIn Ads
Setting up Marketo
Setting up Microsoft Dynamics
Setting up Pardot
Setting up Pipedrive
Setting up Salesforce
Setting up Twitter Ads
Setting up Zapier integration & Zaps for Lead Gen forms/Lead Ads
Setting up Zendesk Sell
Setting up Zoho CRM
Connect to AWS Redshift using AWS Glue
Connect your Dreamdata data to Amazon Redshift
Connect your Dreamdata data to Snowflake
Getting Started with Google Data Studio Templates
Google Cloud Storage
Google Connected Sheets
Guides for Google Data Studio Reporting
How does Dreamdata track all relevant on-site customer data?
Load analytics.js from your own domain
Pardot iframe form tracking
Server Side Analytics APIs
Setting up Dreamdata Web tracking (analytics.js)
Setting up tracking with Segment
Tracking Hubspot Forms with auto-identify script
Tracking iframes with auto-identify script
Tracking using Sleeknote or Drift
Setting up your customised Stage Models
Setting up your default Stage Models
Can I exclude content or websites from being tracked?
Roles and Permissions
Some of my deals are flagged with "no-tracking". What does it mean?
What does Visitors, Contacts and Companies mean?
What is a Stage Model?
What is a company in Dreamdata?
What is a session?
Why are my dashboards empty?
Quick learning videos!
Are you using G2?
Do you know how your company is generating money?
Do you know which of your Marketing activities had the biggest impact on pipeline and revenue?
Dreamdata Content Analytics: Discover the real value of your content
Find the content that generates most pipeline
Helping BDRs break through to the hottest accounts
How Content Analytics tracks the influence of content of pipeline and revenue
How to cut the cost of your Google Search Ads
How to easily build a retargeting audience with Dreamdata
How to see the value of B2B Google Ads in pipeline and revenue generated
How to set up content categories on Dreamdata
Performance vs. Revenue Analytics reports- when to apply them best!
See the value of SEO in pipeline and revenue generated
What attribution really is and why you should care!
Which of your emails produce pipeline and revenue?
Updated by Mikkel Settnes
Using Google BigQuery opens up some additional services in connection with using Dreamdata.
Google Cloud Platform
To use Google BigQuery you first need an Google Cloud Platform account.
Dreamdata is an Google Cloud Partner, and if you have not already signed up to Google Cloud Platform you can do it here and get $500 of free credits.
With our BigQuery Integration you gain access to your Dreamdata data inside BigQuery, which will allow you run your own queries on our data models, as well as copy, manipulate, join and use the data within BigQuery or any other tool connected to your BigQuery.
With this integration we expose a Dataset of your Dreamdata Data within your BigQuery, but only to specific users.
If you are not familiar with Google BigQuery take a look at these how to guides.
Some key points:
- This data will be hosted in the region of your choosing
- Dreamdata will pay the data storage costs
- You will pay for querying costs
We will want to know the following:
- What Google Cloud Platform region/zone will you want the data to be? See all supported regions here.
- A list of emails of users that can make queries in the exported dataset. This could also be Google Cloud Service Account emails.
- A list of Google group email addresses that should be given query permission on the dataset
Note: Either (2) or (3) is required.