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 Guide: Media
Customers expect media brands to create seamless, contextual, and concurrent experiences across every device, which cannot be achieved with legacy systems unable to collect and activate data from every channel. Use these common use cases to help you determine which CDP features are relevant and find the CDP that will help them 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.
Customer Data Platform Retail use cases
Retailers need a customer data layer able to deliver precise personalized engagements that don't break the marketing budget. This blog will cover common customer data platform retail use cases to determine which features are relevant and find the CDP that will help you meet current and future business needs.
Customer Data Platform use cases: Travel
Travel companies need a customer data layer as flexible and agile as their services. This blog will cover common use cases to determine which CDP features are relevant and 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.
By partnering with mParticle, marketers can stream data directly from mobile, web, and other sources to Iterable as well as easily extract campaign metrics.
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.
Tag managers and CDPs: What’s the difference?
Both tag managers and CDPs help marketers collect customer data without relying on engineering, but that's where the similarity ends.
5 marketing attribution tips for eCommerce
Marketing attribution is one of the trickiest challenges online retailers face. Use these 5 tips to learn how your marketing affects your bottom line.