Find out why Bloomberg joined the Bombora Data Co-op and how Intent data has helped power their ABM-focused campaigns with unprecedented scale.
Other content in this Stream
High performance and growth expectations drive Snowflake to continuously optimize its Account-Based Marketing (ABM) strategy to meet its goals.
Triple digit sales growth amid a pandemic using Company Surge® Intent data for HubSpot.
Turtl is a content automation solution that provides enterprise businesses deeper reader insights and personalizes content at scale.
StackAdapt is a programmatic advertising platform serving digital marketers from diverse industries. See how it doubled its custom audience delivery in six months.
With a substantial market opportunity and limited marketing resources, Kazoo used an intent-based approach to focus their investment and outreach on their highest priority accounts.
Intent data helps ARCOS achieve 200% of Q1 goals, even with the COVID-19 pandemic, by utilizing Company Surge®.
2:17Find out how Salesforce uses Bombora to generate a 271% return on investment and shave 33% off the sales cycle.
2:16Learn how OneLogin has partnered with leading providers Bombora and LeadSpace to double marketing campaign engagement and drastically shorten sales cycles using Intent data.
2:33Find out how being part of the Bombora Data Co-op has helped SourceMedia propel their ABM business forward, and why the industry is shifting to a cooperative model where B2B publishers share data.
Just Media helps Cloudera leverage Intent data and drive success with Account Based Marketing.
LinkedIn and Bombora combine forces to provide a more intelligent targeting option for IBM Watson.
1:54"When you have great data, you want to use it in as many places as possible," says Hillary Lupo at Fortinet. Learn how Hillary has partnered with Bombora to stay ahead of the marketing curve and enabl
Marketo finds the right accounts to engage, at the right moment, driving more qualified leads and revenue.
Learn how Pegasystems evaluated its closed-won deals from the past to predict when and which prospects would have an increased propensity to buy.