Engagio Scout for Sales now enables revenue teams to understand account engagement better and act accordingly. mParticle’s new product will help engineers ensure proper event collection at run time, which is now in beta.
Enhancements to Engagio Scout for Sales
EngagioOpens a new window , the B2B account-based engagement platform, has announced a substantial upgrade to its engagement intelligence solution, Engagio Scout for Sales. The enhancements will give sales reps access to a Unified Account Inbox of emails and calendars, bringing the hidden account activity to light for sales and marketing. As part of Engagio’s Scout for Sales allows sellers to understand their target accounts more deeply, prioritize them for maximum results, and act to close deals faster.
“Today’s B2B companies are becoming more strategic about their priorities and investments, so making the shift from more general sales initiatives to targeted ABM initiatives is imperative,†said Jon Miller, co-founder and CEO of Engagio. “ABM is founded in a comprehensive understanding of an organization’s relationship to an account, and emails and calendars contain a wealth of information that typically gets lost. Engagio Scout finds that information and shares it with the sales team at the right time. It’s the bridge between prioritizing accounts, coordinating programs and accelerating revenue creation, and it’s a necessity for sales teams that understand the importance of strategy and personalization.â€
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Engagio Scout for Sales captures the customer-facing activities automatically for go-to-market teams. It visualizes engagement across the buying committee and visualizes sales-driven engagement across each key persona and member of the buying committee. It makes better decisions with real-time analytics and provides insights to accelerate deals.
mParticle’s Data Validation Tools
mParticleOpens a new window , the customer data platform, announced the beta release of a new open-source developer toolset to give engineering teams instant data quality protection and feedback in their integrated development environments (IDE).
It also features Smartype, which translates any JSON-based data model into typed code. This toolset pairs mParticle’s Data
Planning API, the command-line interface (CLI), and static code analysis (linting), to help developers validate their data model throughout their software development lifecycle.
Together, the Data Planning API and Smartype allow developers to translate a Data Plan into usable code to improve implementations and minimize data quality issues by improving instrumentation quality and consistency.
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Smartype addresses common data quality issues which features the data plan that is available as a machine-readable JSON Schema. The data plan API will programmatically perform a CRUD operations to decrease the time-to-data-quality and time to implement. Smartype also features the compiling time for feedback developers, who can use to conform to a data plan by limiting the probability of implementation issue. It generates a client library across a variety of languages from central data model.
Speaking to Toolbox exclusively, Sam Dozor, Senior Director of Engineering at mParticle says, “With Data Master 2.0, we allowed mParticle customers to plan and specify their data model, and now with Smartype and the Linting tools, we’re helping engineers implement that data model. Both Smartype and Linting enforce a Data Model, based on JSON schema, at compile-time, so engineers will actually receive compilation failures if an event is collected that doesn’t match your data plan. Smartype itself is designed to be an agnostic data quality layer—any engineering team in the world can use it to define and represent their data model in code.â€
Smartype makes it easier for development teams to define a data model, collaborate against a data model programmatically, implement it correctly at compile-time, report validations in time to fix them, and transform data points in the plan on an ongoing basis.
In addition to the Data Planning API and Smartype, the new developer toolset also includes mParticle CLI and Linting. For developers, the new CLI offers an easy way to interface with the mParticle platform through the command-line instead of the user interface.