UserGems 💎

UserGems 💎

Software Development

San Francisco, CA 17,646 followers

Buying Signals That Actually Convert

About us

We help sales & marketing teams boost their pipeline by capturing the most valuable buying signals, automating the next steps with AI assistance. Examples of buying signals: - Past Champions - New Hires & Promotions - Champion Referrals - Funding - News - and more... Companies like Mimecast, UserTesting, Lattice see more than 15X ROI in closed won revenue from UserGems.

Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, CA
Type
Privately Held
Founded
2019
Specialties
Sales, Revenue, Customer Success, Marketing, Artificial Intelligence, Machine Learning, SaaS, Prospecting, Deal Acceleration, B2B Sales, and ABM

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Employees at UserGems 💎

Updates

  • View organization page for UserGems 💎, graphic

    17,646 followers

    The data doesn't lie: Companies leveraging these people signals see an average of 54% lift in opportunity creation. Past contacts at opportunities also result in 114% higher win rates and 12% shorter deal cycles. In a couple of weeks, Krysta Gates, VP of Global Business Development at Showpad, and Tucker Stoffers, VP of Growth Marketing at BILL, will show you which signals are most impactful—and how to use them to build pipeline. You'll learn winning use cases to identify and prioritize the prospects that are most likely to convert. Save a spot on your calendar: https://lnkd.in/e32D_bWh

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  • UserGems 💎 reposted this

    View profile for Krysten Conner, graphic

    Brand partnership AEs win Enterprise deals with my strategies & systems 👩🏻🏫 Coaching & Free Resources ➡️ krystenconner.com🦄 ex Outreach, Salesforce, Tableau 👉🏼👉🏿👉🏽 Click bell to be notified when I post 🔔

    That feeling when you reach out to your past Champion and instantly add $1,004,400 to your pipeline 👀 Old mindset: "Our customers are loyal. They come back to us when they change jobs." New Reality: 91% of past Buyers don't reach out to past vendors when they switch companies. ‼️ That's the data from the UserGems 💎 study of 5,000 deals. Buyers who haven't worked with us are highly risk-averse. Even more so in this market. Those deals move slowwww. Past Buyers are LESS risk averse. They already know / like / trust us. And they may be in new jobs - or gotten promoted! - and able to buy again. For an easy way to start reaching out to them, here are 7 pre-built playbooks: bit.ly/3Msx2pV

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  • View organization page for UserGems 💎, graphic

    17,646 followers

    $5.8 million in pipeline. $1.6 million in closed won revenue. ^ This is what Greenhouse Software saw using *only* the UserGems Job Change Signal. If that's what one signal can do, imagine what's possible with the rest of the UserGems Signal Library. Before UserGems, Greenhouse struggled to figure out: 💎 Who changed jobs 💎 Their past status (champion, user, influencer, etc.) 💎 Whether the new company was a target account Now they track job changes for both pipeline generation and churn prevention. Hear how UserGems is helping Kristina Finseth and her team sell smarter ⬇️ P.S. Here's the full story: https://lnkd.in/eAmXuC9P

  • View organization page for UserGems 💎, graphic

    17,646 followers

    'Tis the season... for asking your best customers for referrals! But how do you do it at scale without taking away your team from their Q4 goals? Enter the Champion Referrals signal. Our team uses this new signal to book more meetings without any manual tasks. We use two different playbooks: one for more personalized outreach and another for scaling the referral process. These strategies have already helped us secure demos and move deals forward in the short time since we launched. Want to see how it’s done? Steal our playbook here: https://lnkd.in/e5nJA_ce

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  • View organization page for UserGems 💎, graphic

    17,646 followers

    Quiz time: We analyzed 4.2 million target accounts and 2.28 million opps, plus consulted with 30+ revenue leaders to uncover signal benchmarks for GTM. How much longer are deal cycles today compared to 2020?

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