Get started with Dreamdata
How to invite your colleagues to 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.
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?
Google Display Ads
Google Search Ads
Return on Ads Spend
Performance vs. Revenue attribution: A guide on when to use what
Import cost data using Google Sheet
Importing historical data to Dreamdata using Google Sheets
RollWorks Site Traffic Revealer
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 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
Triblio ABM platform
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
LinkedIn Offline Conversion
Advanced Identification of users and companies
How does Dreamdata track all relevant on-site customer data?
How to track your emails?
Pardot iframe form tracking
Reduce impact from ad-blockers and Apple ITP 2.x
Server Side Analytics APIs
Tracking Hubspot Forms with auto-identify script
Tracking SPAs (Single Page Applications)
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?
Ideal Customer Profile
Intro Template for your new clients
Referral Guide and UTM tracking
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?
- All Categories
- Return on Ads Spend
Return on Ads Spend
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.