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
Which channel performs best for different content?
Which content influenced the MQLs created in a time period?
Content Performance - Dashboard Options
Which content generates pipeline?
Measuring influenced pipeline for B2B content - the true conversion metric
What KPI to measure the effect of B2B content?
Setup Content Reporting
Content Analytics - Dashboard Options
Return on Ads Spend
Google Search Ads
Google Display Ads
Performance vs. Revenue attribution: A guide on when to use what
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
Importing data not in your CRM (using Google Sheets)
Import cost data using Google Sheet
Setting up Outreach
Setting up Zapier integration & Zaps for Lead Ads
Setting up Google Search
Setting up Intercom
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
Setup Guide: All Salesforce Opportunities entering specific Stage
Setup Guide: Creation of Opportunities/Deals
Setup Guide: Tracked sign-up events
Setup Guide: All Hubspot Deals entering specific Stage
Stage Models - Customization
Branded Search filter
CRM-Based Channel and Source in the Absence of Tracking Activity
Some of my deals are flagged with "Unknown". What does it mean?
Can I exclude content or websites from being tracked?
How are activity mapped to companies?
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 Siminta Jacinavice
On this dashboard, you can see how much Revenue is being generated from all your Paid Ad Activities and the subsequent Return on Ads Spend percentage. We breakdown the entire funnel from Impressions down to Cost per Acquisition.
Furthermore, we show how your investments perform over time. We also list all the different Ad Networks and their individual contributions. This dashboard gives the ability to better understand and report on Ad performance.
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
Ad Networks: Choose the ad network
Aggregation: Set the time frames you wish your data to be displayed
Note: Date is referring to the time period when visitors/contacts interacted with these Ad Networks
Cost: The total spent on Paid Ad Campaigns across the different Ad Networks
Impressions: The number of times your ad is shown. Each time your ad appears on someone's feed it is counted as an impression
Clicks: The total amount of clicks seen across the different Ad Networks
Visitors: The number of unique users who had a website session which originated from different Ad Networks during the given time period
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 we can be attached to any visitor traffic (anonymous)
Deals: The number of deals that are associated with Paid Ad Networks based on your selected filter
Value: The amount of revenue than is attributed to Paid Ad Networks based on your selected filter
Cost Per Mille (cpm): Cost per thousand. This calculation is used to denote the price over one thousand impressions
Click Through Rate (ctr): Clicks divided by Impressions
Cost Per Click (cpc): Total Cost divided by Clicks
Cost Per Acquisition (cpa): Total Cost divided by Attributable Deals
Return on Ad Spend (ROAS): Total Attributable Revenue divided by Total Cost
Cost → Impressions → Clicks
In this first section, we provide the top of the funnel for all your Paid Ad Activities. This data is pulled directly from the Ad Network through our integrations.
Visitors → Contacts → Companies
In the next section, we give an overview of the traffic from your Paid Channel which is based on the Tracking script we have on your websites.
Deals → Value
In the third section, we provide the total number of Attributable Deals and Attributable Value (revenue) that can be assigned to your Paid Channel based on the filters selected.
To calculate these numbers, we first look at the pool of contacts/companies that visited the ads 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 Paid Channel, 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.
Cost per Mille → Click through Rate → Cost per Click → Cost per Acquisition → ROAS
On the fourth row, we provide percentages for some common KPIs, most important Return on Ad Spend.
Graphs and Tables
Return on Ad Spend
We provide a graph showing the development of the Return on Ad Spend for each Ad Network over the period of time specified in your Filters. Use the Aggregate filter to breakdown the X-Axis as you wish.
This graph makes it easy to see which Ad Network is performing best, but also it shows clearly how long it generally takes for your Ads to mature and provide a Return.
Note: Time frame is key so you should give enough time for your Ads to create value.
Ad Network Performance
This table lists each Ad Network and their specific performances for a certain timeframe, which is dependent on the Date and Aggregate filter. This report helps to evaluate the business outcomes generated through different Paid Ad Networks.