When to use a data lake vs data warehouse
Enabling teams with access to high-quality data is important for business success. The way in which this data is stored impacts on cost, scalability, data availability, and more. This article breaks down the difference between data lakes and data warehouses, and provides tips on how to decide which to use for data storage.
Where should you be building your audience segments?
Every tool seems to offer segmentation capabilities these days. Disconnected audiences builders, however, can lead to overreliance on developer support and disjointed customer experiences. Learn more about data infrastructure and when it helps to centralize your audience segmentation.
Make better decisions with improved attribution
Learn how mParticle’s data layer enables attribution vendors to better measure marketing across channels.
Customer Data Platform use cases: Auto
This blog covers common use cases to help you determine which CDP features would most benefit your organization's business needs.
CDP use cases: Retail Banking
Retail banks need a customer data layer to meet customers' expectation for fast, flexible, personalized services. This blog covers common use cases to help you find the CDP that will help you meet current and future business needs.
Customer Data Platform use cases: QSR
Meeting the QSR customer's expectation of fast, convenient, and tailored services requires a customer data layer able to collect and activate the right kind of customer data to drive initiatives and improvements. Read about the common CDP use cases QSRs are using to help you find the CDP that will help you meet current and future business needs.
People-centric advertising, made smarter
Using mParticle as the data foundation for its media attribution analytics, Gilt increased ad efficiency by 20%
Pinterest adding 15 ad-tech companies to beef up its data and measurement game
Pinterest is looking to step up its ad business by debuting 15 new marketing and ad attribution partners, known as Marketing Developer Partners, for brands to measure engagement and increase conversions.
Inside Starwood’s Mobile Marketing Stack
Anna Zeng discusses the key elements of the “mobile stack” and how Starwood uses mParticle to minimize engineering cycles.
Analyze cross-channel campaign performance with Tenjin and mParticle
mParticle’s integration allows marketers to use Tenjin for campaign attribution without installing their SDK, significantly reducing integration resources.
Power smarter advertising with Conversant and mParticle
mParticle’s new integration with Conversant allows brands to take the guesswork out of reaching the right consumers with personalized ads.
By partnering with mParticle, marketers can stream data directly from mobile, web, and other sources to Iterable as well as easily extract campaign metrics.
Stream real-time data to Adjust and 175+ other services without having to install additional SDKs through the mParticle integration.