A flexible, SaaS, marketing data platform that features multiple solutions for improving data integration, reporting, analysis, and optimization. Now part of the Salesforce Marketing Cloud suite, it's popular among agencies, but flexible enough to support advertisers working in health and life sciences, automotive, retail and gaming, or publishers of any size. But, upon scrutiny, does it deliver the promise of Marketing Intelligence?
Let’s drop the hyperbole and review some of its most recognized and useful data capabilities. Along the way, we’ll answer a few of the most commonly asked questions.
Datorama, is now called Marketing Cloud Intelligence which is used to onboard, integrate and visualize marketing data of all types. It is easy enough for the Analytical Marketer to use, but powerful and familiar enough for seasoned Business Analysts and Data Scientists, alike.
Datorama is a platform that you can make your own. It can be comfortably used as a stand-alone unit supporting data storage, data modeling, ETL and visualization or used in conjunction with potentially competitive data management platforms like Azure Databricks or Looker. Although it serves a number of data use cases, its focus is Performance Marketing. It is often confused as a traditional Business Intelligence, Analytics or Data Visualization platform, but is more accurately defined by data management and to a lesser degree, visual communication capabilities.
Its roots are from the ad technology space, in fact, the largest media holding companies in the U.S. use it to support automated, client and agency side reporting. A typical use for agencies is to use a premium feature called, Media Cost Center where media plan data is connected to delivery. However, Marketing Cloud Intelligence works well for retailers, publishers, gaming, pharma, automotive, and device makers, too. An Israeli based technology firm that was founded in 2012. For many years, it remained independently owned by Ran Sarig, Efi Cohen and Katrin Ribant. However, Datorama was acquired by Salesforce in 2018. Although several of the original founders have moved on, its core engineering team remains.
Pronounced, “day-tah-rah-mah”, it has an impressive set of robust and reliable data connectors as well as easy-to-use retrieval mechanisms for exporting and ingesting data from popular, and often competitive data management platforms such as SAP Hana, AWS, Oracle, Vertica, and SQL server. It focuses on the ingestion of aggregated and unstructured data. More recently, its storage can be extended greatly due to a premium feature known as Data Lake, giving Marketers the opportunity to ingest highly granular level data from log files, creative dimensions, clickstream, keyword details and bid level activities.
What makes it useful for organizations working across Martech is its flexible and customizable support for rapidly onboarding existing and nascent data platforms including, ad servers, demand side platforms, SSPs, site analytics, and points-of-sale.
Datorama is a channel and partner agnostic platform that can help marketing organizations in 6 specific ways:
Salesforce continues to make strategically placed bets by acquiring analytical partners and technologies. Tableau and Datorama are great examples of this, but why would Salesforce purchase both? At the core, Marketing Cloud Intelligence is a flexible SaaS, data management platform and Tableau is a visual, data exploration tool. Yes, there are nuances and overlaps. They serve similar audiences but with very different use cases. Which use case is right for you?
The most common buyer segments supported by Datorama are marketers and advertisers. The top industries (by volume) include communications, media, and technology with a particular emphasis on mid to large agencies (performance marketing) and media holding companies. However, the data management capabilities serve Health and Life Sciences, Financial Services, Manufacturing, Automotive, Retail and Publishers, too.
The platform allows advertisers, agencies and publishers to pull data from a myriad of data sources, blend and create custom KPIs, and quickly build informative dashboards to analyze and draw insights.
Its most impressive feature is arguably the Data Model which becomes evident the first time any data source is onboarded. Datorama now supports four primary methods of data ingestion:
Through Machine Learning, the platform understands an array of common data types and instantly suggests possible relationships among data entities greatly speeding up historical approaches of mapping using fuzzy logic, pattern recognition and clever, albeit cumbersome look-ups.
Marketing Cloud Intelligence provides harmonization and data blending capabilities to assist analysts with quickly pairing parent-to-child data relationships, custom classification based on external files, calculation types, or common naming patterns.
Marketing Cloud Intelligence is an exceptional data platform, but it isn’t a CDP, and beyond the capabilities of unifying performance data and data orchestration, the comparison isn’t appropriate. Principally the platform ingests aggregated marketing data. CDPs ingest customer or user level data. Although there are many platforms in the Salesforce ecosystem, MCI does not focus on audience activation, identity resolution, segmentation, personalization, or the customer journey. These features are often associated with a customer data platform. The good news is that Salesforce has a CDP and it does integrate with MCI to extend this growing use case.
Data Lake is a premium, paid feature designed for ingesting raw granular data. This granularity requirement can allow Datorama to ingest hundreds of millions or even billions of rows without artificially inflating the cost associated with data row usage. Much to the delight of long time, users, when Data Lake is purchased, usage and pricing does not apply by the row count but rather by terabytes of storage space. You can also think of Data Lake as cold storage. Some examples of data types that work best with data lake data streams are keyword level data, bid activity, event level data, and granular geodata similar to what you might see in large media agencies or as required inputs for Mixed Media Models. You should expect to pay about 20% of the total cost of your license to take advantage of Data Lake, but it may be worth it, depending on your needs.
The platform is updated monthly, focused around enhancements around Analyze and Act, Visualization, Connect and Unify and Marketplace Apps. In July of 2022, the community received notable features including database exports, custom font integrations, Sprout and Instagram connectors, and improved visualization widgets. Here’s the entire list of July improvements.
Since Marketing Cloud Intelligence often prices its software based on tiers and data row counts, it’s important that you occasionally monitor your progression, particularly if you intend to onboard granular data. For example, DMA or keyword level breakdowns. To verify your row count, consider the following.
At the admin role, you can see your overall and current row usage at both the account and workspace levels. Keep in mind that row usage refreshes every hour.
To monitor row usage:
1) To the right of the navigation bar, click the dropdown arrow, and click the Account Settings gear icon.
2) In the account menu, select Data Rows Usage.
3) View live row usage, and a breakdown of workspaces by row usage.
There are two system measurements reflect the total row count of a data stream in a workspace:
Considering the overall capabilities of the platform it is relatively affordable when compared to similarly positioned competitors. Pricing can start as low as $36,000 per year, but there are always deals to be made, particularly at the end of a quarter. See your Salesforce Account Executive for details.
If you are new to the platform or just interested in improving your skills, we recommend you login to the platform and visit the Trailblazer community forum. The articles, webinars and videos are essential reading, regardless of your level of experience. If you’d like to get certified, consider receiving some formal training.
Datorama is an affordably priced, formidable data management and visualization platform and was created for the Analytical Marketer needing tools to onboard and manage performance marketing data. Salesforce’s acquisition of the platform means the future of this platform is bright. This partnership should continue to meet today’s marketing data challenges with progressive tools and technologies and a strong product and engineering roadmap.
Marketing Cloud Intelligence is indeed a flexible, marketing data platform that features multiple solutions for the agency and the advertiser, but does it deliver? Salesforce provides a strong response to a fragmented but commoditized data management and visualization ecosystem. Look for it to continue to pair Tableau’s strong data exploration capabilities with Datorama’s data management excellence to shore up the marketplace. Beyond the rebranding, it’s possible that the brand name change could shed light on the future of the platform. Prediction? Will the product and engineering group extend integration efforts across the Marketing Cloud ecosystem to bolster utility, or will the platform remain beneficial, but separate? If the continued cost reduction of the license is any indicator, perhaps it’s the latter?
Certified Support Partners
Decision Foundry is a top-tier Salesforce implementation partner providing training and support for non-partner, Datorama certification. Our global team of 140 includes Salesforce Marketing Champions and some of the industry’s leading practitioners in data analytics and visual communication. Ask for a Datorama demo and see our short portfolio of award-winning dashboard examples then, consider us for your next implementation project.
About the Author
I am the CEO of Decision Foundry, a Salesforce Integration Partner. I am neither an employee of Salesforce nor a shareholder. The views expressed in this article reflect my experience with the Marketing Cloud Intelligence platform over eight years.
August 02, 2022 | Article
Master Datorama Episode Two: Blending Data Sets with Lohith Paturu
With data coming from so many sources, you need a way to blend it together and get the complete picture of your marketing activity.