Lattice Engines is a technology provider that delivers predictive marketing and sales cloud applications to business-to-business (B2B) companies. The company is privately held and backed by NEA and Sequoia Capital. It's headquartered in San Mateo, CA and has offices in Austin, Boston, New York and Beijing.

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Lattice Engines
Lattice Engines
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  • Like any good revenue team, you’re looking for new ways to accelerate revenue success in 2018. Masergy, a leading networking and security solutions company, achieved their growth targets by aligning sales and marketing on their ABM strategy, and taking a data-driven approach to scaling their ABM program for sustained growth. Masergy first aligned its teams and buying cycle around the SiriusDecisi...

Lattice Engines
Lattice Engines
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  • As the world’s leader in Enterprise Cloud Data Management, Informatica recognizes a generational market disruption in data is underway. Data powers digital transformation and the marketing team at Informatica lives and breathes that mantra. Learn how Informatica transformed its ABM programs by Lattice Engine’s AI-platform and data-foundation to create micro-segments and deliver hyper-targeted and...

Lattice Engines
Lattice Engines
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  • Lattice Engines and Dun & Bradstreet recently hosted a Hack the Journey event where our all-star panel of female marketers discussed the importance of ABM and how they’re making an impact on their organizations using account-centric strategies and tactics. Laura Ramos of Forrester, Meagen Eisenberg of MongoDB, Marissa Dacay of Adobe and Rebecca Stone of LiveRamp highlighted the things they’ve lea...

Lattice Engines
Lattice Engines
SlideShare Presentation
  • The sales and marketing tech stack has evolved to a place where companies are now able to scale their Account-based Marketing efforts beyond just their top 50 accounts to their top 5,000, top 50,000 and even millions of accounts. This one pager provides a simple framework for understanding how you can use predictive analytics to drive winning ABM strategies at scale.

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