Home Data Salesforce Gets Into The ID Graph Game With Launch Of Customer 360

Salesforce Gets Into The ID Graph Game With Launch Of Customer 360

SHARE:

Salesforce on Tuesday introduced Salesforce Customer 360, a unified customer ID that connects profile data across its Sales, Services, Commerce and Marketing cloud product suites.

“There are so many ways for a person to engage with a brand nowadays and a certain level of control has been lost behind these layers of technology and media,” said Patrick Stokes, the senior VP of product management for the new product.

Unveiled at the company’s annual Dreamforce conference in San Francisco, Salesforce Customer 360 is a free additional feature available to clients operating Salesforce’s cloud products. Salesforce Customer 360 becomes an onboarding and integration hub for data housed in Salesforce or pulled from other sources.

On top of Salesforce data – which may include CRM or transaction data from Commerce Cloud or campaign data from Marketing Cloud – any partner plugged into MuleSoft’s integration API can be incorporated into Customer 360.

Stokes called MuleSoft’s middleware technology, which Salesforce bought earlier this year for $6.5 billion, critical to the new offering.

“Sourcing data from multiple places instead of just Salesforce consoles enables [metrics] like risk of churn, lifetime value and more complete profile data,” he said.

Salesforce Customer 360 should also give customers a better sense of their true customer or audience base.

A brand with 25 million different data-driven profiles across Salesforce products and other vendors might only be looking at a few million individuals, Stokes said.

The IDs should also help Salesforce partner in areas where it is not directly involved, such as media buying and attribution.

Once Customer 360 has eliminated duplicates and strengthened the data attached to profiles, it can send those IDs to buying platforms or measurement partners such as Google, which announced an attribution partnership with Salesforce in June that marked the first time Google Analytics data was allowed to leave Google-owned systems.

Customer 360 is launching with products for a few common use cases, including linking data from its marketing and commerce clouds to connect, say, abandoned ecommerce shopping carts to online ad audiences or enabling live service agents to access a customer’s case history and lifetime value data, Stokes said.

“But where I see this growing,” he said, “is into something like an app store for integrations.”

Must Read

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Podcasts Are Becoming More Programmatic. But Now Advertisers Have To Keep The Ad Load In Check

As programmatic buying becomes more common in audio, marketers and platforms fight the temptation to cram in as many placements as possible.

PubMatic Jumps On The Show-Level CTV Targeting Bandwagon

Connected TV advertisers are still pining after show-level control. And PubMatic announced contextual targeting at the episode level is available to media buyers accessing CTV inventory through its platform.

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.