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Customer Stories

Customer Story Category: Marketing

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Dive into the strategies and tactics that manufacturer, FARO, took in order to drive revenue at-scale. Leveraging insights, the team was able to increase sales velocity and reduce costs.

With a small but mighty ABM and Field Marketing team, FireEye is accelerating customer revenue, reputation and retention with this new agile approach. Join the session to discover how you can apply these industry-leading practices to your marketing programs.

Custom Trouch One Source used 6sense to transition from a traditional sales and marketing pattern to a data-driven digital strategy.

To shake up their marketing team’s processes and deliver qualified prospects to sales, RepTrak brought in 6sense.

As FARO's business evolved, the quality of marketing-qualified leads left a lot to be desired — less than 0.78% of the leads marketing handed off to sales ever resulted in a sale.

For years, NanaWall’s revenue team paired its ABM strategy with a few predictive analytics tools that helped score opportunities.

Learn what led SailPoint to 6sense and how their ABM strategy has improved by uncovering, prioritizing, and engaging with demand to drive more revenue.

Partnering with 6sense, the company completely transformed the way its website welcomed prospective accounts.

Recently, the company built a unique martech stack — featuring 6sense, Drift and People.ai — that revolutionized its ability to identify, connect with, and pursue new business.

Qlik, an end-to-end data management and analytics platform, was looking to move to an account-based marketing (ABM) approach.

With the help of 6sense, CoreView was able to successfully pivot their digital campaigns to reflect a more relevant message, and also bring a new offer to market.

Once Aprimo saw firsthand how significantly 6sense data impacted its marketing efforts, the company fully committed the solution, opting to unify the entire revenue team.

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Activate relevant and efficient audience targeting, with industry-leading account identification, intent data and predictive models.

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