Customer Experience Matrix
OCTOBER 29, 2023
The claim gained some plausibility from the fact that modern cloud data warehouse technologies, such as Snowflake, Google Big Query, and AWS Redshift, are in fact used by some conventional CDP vendors. So there’s more happening here than a simple data transfer or API call.
Customer Experience Matrix
JANUARY 27, 2021
The drive to build suites clarifies why predictive analytics vendors Bloomreach, RichRelevance, and Gpredictive are such frequent partners: stand-alone predictive tools are missing nearly all the features needed for a full marketing platform, so they have the most to gain from buying a CDP that fills those gaps.
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Customer Experience Matrix
MAY 2, 2021
Data Collection/Buy Advantage: a purchased CDP will have prebuilt connectors for many source systems and often a standard API for creating new connectors. Outputs/Build Advantage: existing systems may have connectors in place to deliver outputs to company reporting, marketing, messaging, analytical, and other systems.
Customer Experience Matrix
FEBRUARY 2, 2016
Most of the work in any marketing analytics project is integrating data from multiple systems. It can connect with others through standard APIs. It also uses matches created elsewhere such as lead IDs used to synchronize CRM and marketing automation data or cookie IDs imported from Google Analytics.
Customer Experience Matrix
NOVEMBER 9, 2015
It’s clear that 2015 has been the breakout year for predictive analytics in marketing, with at least $242 million in new funding, compared with $366 million in all prior years combined. What’s significant here is less the reporting than that Radius is moving beyond analytics to give clients lists of potential customers.
Customer Experience Matrix
OCTOBER 29, 2015
When I first described Customer Data Platforms two and half years ago, all the vendors offered an application such as predictive analytics or campaign management in addition to the "pure" CDP function of building the customer database. Openprise also integrates today with Google Apps and the Amazon Redshift database.
Customer Experience Matrix
NOVEMBER 5, 2015
Iterable definitely builds its own database, using the JSON API and Elasticsearch data store to manage pretty much any kind of data you might throw at it. Users can do analytics and build segments using Iterable’s own tools or export selected elements to other systems in a file. This can happen in real time (yay!)
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