Get started with Dreamdata
What is Dreamdata? [VIDEO]
Setting Up Dreamdata
How to set up Dreamdata Web tracking (analytics.js) manually
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.
The Onboarding Process
Onboarding process for free customers [VIDEO]
Onboarding for paying customers [VIDEO]
How to invite your colleagues to Dreamdata
How to validate your data
Setup Content Reporting
Content Performance - Dashboard Options
What KPI should you use to measure the effect of B2B content?
Measuring influenced pipeline for B2B content - the true conversion metric
What content generates pipeline?
Which channel performs best for different content?
Return on Ads Spend (ROAS)
Google Search Ads
Google Display Ads
Performance vs. Revenue attribution: A guide on when to use what
Triblio ABM platform
Setting up Facebook Ads
Setting up AdRoll
Setting up Twitter Ads
Setting up Bing Ads
Setting up LinkedIn Ads
Setting up Google Ads
Setting up G2
Setting up Capterra
Import fixed cost data using Google Sheet
Import Events data using Google Sheet
Import cost data using Google Sheet
Setting up Outreach
Setting up Zapier integration & Zaps for Lead Ads
Setting up Google Search
Setting up Intercom
LinkedIn Offline Conversion (CAPI)
Google Ads Offline Conversion
Google Ads Offline Conversion: Salesforce vs Dreamdata
Google Ads Offline Conversion: Hubspot vs Dreamdata
Connect to AWS Redshift using AWS Glue
Connect your Dreamdata data to Snowflake
Connect your Dreamdata data to Amazon Redshift
Guides for Looker Studio Reporting
Getting Started with Looker Studio Templates
Google Connected Sheets
Setting up Data Export to BigQuery of CRM Properties
Company Data Enrichment
Reduce impact from ad-blockers and Apple ITP 2.x
Pardot iframe form tracking
Tracking using Sleeknote or Drift
How to track your emails?
How does Dreamdata track all relevant on-site customer data?
Tracking Hubspot Forms with auto-identify script
Server Side Analytics APIs
URL query parameters
Tracking iframes with auto-identify script
Tracking SPAs (Single Page Applications)
Across domain & device tracking
Advanced Identification of users and companies
Tracking Dynamics 365 Marketing Forms
Setup Guide: All Salesforce Opportunities entering specific Stage
Setup Guide: All Microsoft Dynamics Opportunities in a specific Stage
Setup Guide: All Pipedrive Deals entering specific Stage
Setup Guide: Creation of Opportunities/Deals
Setup Guide: Tracked sign-up events
How Dreamdata Handles Currency Exchange in Stage Models
Setup Guide: All Hubspot Deals entering specific Stage
Stage Models - Customization
Learn more about the 'Branded Search' filter
CRM-Based Channel and Source in the Absence of Tracking Activity
What is a company?
Some of my deals are flagged with "Unknown". What does it mean?
Data retention and deletion
How is anonymous traffic linked to companies?
Can I exclude content or websites from being tracked?
Influenced vs Attributed Leads and Value
Understanding the Difference: Conversions vs. Stages
What does Visitors, Contacts and Companies mean?
What is a session?
Roles and Permissions
What is the reporting Time Zone?
Why are my dashboards empty?
Referral Guide and UTM tracking
Intro Template for your new clients
Ideal Customer Profile
Co-marketing and account mapping
Quick learning videos!
Find the content that generates most pipeline
How to set up content categories on Dreamdata
Do you know how your company is generating money?
How to see the value of B2B Google Ads in pipeline and revenue generated
How Content Analytics tracks the influence of content of pipeline and revenue
How to easily build a retargeting audience with Dreamdata
Are you using G2?
Performance vs. Revenue Analytics reports- when to apply them best!
What attribution really is and why you should care!
Helping BDRs break through to the hottest accounts
Dreamdata Content Analytics: Discover the real value of your content
Do you know which of your Marketing activities had the biggest impact on pipeline and revenue?
Which of your emails produce pipeline and revenue?
See the value of SEO in pipeline and revenue generated
How to cut the cost of your Google Search Ads
Updated by Camilla Ostergaard
With this dashboard, we give users all the info they need to understand how their Linkedin Ads are performing, particularly in regards to generating Revenue. From the overall funnel, down to campaign and search query level, you get the full perspective and can make data supported decisions and strategy.
Date: Set the time period you want to investigate
Stage: You can select your preferred pipeline stage. Read more about the Free Tier Stages here
Attribution: Choose the attribution model which is meaningful for your analysis
- First Touch
- Last Touch
Campaigns: Choose the campaign you want to investigate
Campaign Groups: Choose the ad groups you want to analyse
Group By: Choose your preferred option
- Campaign Group
CRM Property: Filter directly on properties from your CRM
Note: Date is referring to the time period when visitors/contacts interacted with any LinkedIn Ads
Cost: The total spend on LinkedIn Ads
Impressions: The number of times your LinkedIn ads are shown. Each time your ad appears on someone's feed it is counted as an impression.
Clicks: Chargeable clicks. Learn more about what is chargeable clicks here.
Visitors: Unlike other ‘Visitor’ numbers in Dreamdata, this number includes two sources; 1) Unique users who had a website session which originated from LinkedIn Ads 2) Anonymous engagement with ads on the LinkedIn platform (when there are more than 3 engagements).
Contacts: The number of visitors who we have been able to attach an email to their user id
Companies: The number of companies who are attached to Contacts, or the number of companies in your CRM who can be attached to any visitor traffic or engagement on the Linkedin platform (anonymous).
Cost per Mille (cpm): Cost per thousand, this calculation is used to denote the price over 1,000 impressions
Click Through Rate (ctr): Clicks/Impressions
Cost Per Click (cpc): Total Cost/Clicks
Cost Per Acquisition (cpa): Total Cost/ Attributable Deals
Return on Ad Spend (ROAS): Total Attributable Revenue/ Total Cost
Cost → Impressions → Clicks
In this first section, we provide the top of the funnel for your Linkedin Ads for the given time period. This data is pulled directly from Linkedin Ads through our integrations.
Visitors → Contacts → Companies
In the next section, we give an overview of the traffic from Linkedin Ads which is based on the Tracking script we have on your websites.
Value → Deals
In the third section, we provide the total number of Attributable Deals and Attributable Value (revenue) that can be assigned to LinkedIn Ads based on the filters selected.
To calculate these numbers, we first look at the pool of contacts/companies that visited a LinkedIn Ad based on the dates/filters. Once we have that group, we see what deals were closed after their visit, up to today's date. More importantly, we are only looking at deals where we have a recorded history of sessions; Attributable Deals. This pool of attributable deals will make up the basis for this section. For each of these deals and all their sessions, we will run the Attribution Model you have selected so each session is given a deal and revenue amount.
For both Attributable Deal and Value (revenue), we then provide the sum of these amounts for each session that contains a Linkedin Ad, depending on which Attribution Model you have selected.
Note: When using First Touch/Last Touch you will get a round Deal number, as a deal is either First Touch Paid or Not. While with Linear, W-Shaped or U-Shaped you will get a fraction of a deal as most Paid Touchpoints will make up a fraction of the sessions on a deal.
Cpm → Ctr → Cpc --> Cpa → ROAS
On the fourth row, we provide percentages for some common KPIs, most important Return on Ad Spend.
Graphs and Tables
In this table, we list each LinkedIn Ad Campaign and their performances (metrics) for the time frame specified by the Date and Aggregate Filter. This will allow you to compare each Campaign in detail, but also compare the performances for specific and detailed timeframes.
Campaign Group Performance
In this report, we list each LinkedIn Ad Campaign Group and their performances (metrics) for the time frame specified by the Date and Aggregate Filter. This information helps to compare and identify the success of your marketing efforts on the LinkedIn platform.
Note: You can open a larger view by clicking on the performance title in the top left corner.
Campaign Performance over Time
We then provide a graph showing the development of your Linkedin Ad Campaigns and their generated deals over the period of time specified in your Filters. Use the Aggregate filter to breakdown the X-Axis as you wish e.g. (day, week, month).
This graph makes it easy to see which Campaign is performing best, but also it shows how long it generally takes for a campaign to win the deals. To do that, select specific Campaign and set Aggregation Filter by days. This will allow you to get detailed analysis on unique campaigns.
Note: time frame is key so you can give enough time to your campaigns to create value.