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UserGems 💎

UserGems 💎

Software Development

San Francisco, CA 20,072 followers

The easy button for AI outbound campaigns

About us

UserGems is an AI signal platform. We help sales and marketing teams boost their pipeline by capturing the most valuable buying signals and automating the next steps with AI agents. Companies like Mimecast, UserTesting, SAP LeanIX see more than 15X ROI in closed won revenue from UserGems. UserGems has generated over $3 Billion in pipeline and over $950 Million in revenue for hundreds of start-ups and public companies.

Website
https://www.usergems.com
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, CA
Type
Privately Held
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

  • UserGems 💎 reposted this

    View profile for Scott Martinis

    Founder | GTM Architect | We build revenue engines that work

    Another reason outbound fails? The reps don’t know how to talk about the product without making it about themselves instead of the customer. Not the features—the 𝘸𝘩𝘺. UserGems 💎 fixed that at the root by building what might be the most intentional outbound messaging infrastructure I’ve seen. Instead of generic templates, every message starts from three things: —Persona-specific context —A trigger (job change, hire, or tech change) + relationship or past context (Closed lost reasons from email exchanges & Gong transcripts, etc.) —A single, crisp, high-leverage reason why this prospect should care Reps have an AI Copilot next to their Outreach & Orum 🥇 detailing reasons why the Account and the Buyer were selected. So when the buyer answers the phone, the rep is fully prepped on everything they need to know. The result? Reps don’t guess. They speak with conviction. It’s like sales enablement meets content ops meets product marketing—but operationalized to actually work. When I asked how they trained new reps, their CMO Trinity Nguyen 💎 said: “We clone whatever our best reps are doing that quarter, turn it into prescription, and enforce it through tools.” No fluff. No freestyle. Just tight, contextual messaging that earns replies.

  • AI isn't taking the good jobs. It's taking the grunt work. Tell us: Would you be okay with AI taking your job (if that meant you'd get a better one)?

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  • Closed Lost opps aren't always dead. They're just waiting for the right moment. And now, AI can tell you exactly when that moment happens. Too often, lost deals go into a passive nurture drip and stay there. But what if you could re-engage the moment the timing shifts? Here’s how smart teams are using UserGems to turn “not now” into “let’s talk”: 1️⃣ Build your revival list: Start with deals lost 6–24 months ago due to budget, timing, or status quo. 2️⃣ Let AI monitor for buying signals: New VP hire? Past champion returns? Visit to your pricing page? UserGems catches it. 3️⃣ Trigger the revival workflow: AI pulls the account in, identifies the best contact, and drafts a contextual email based on why you lost the deal in the first place. 4️⃣ Add the human touch: Reps review the message, personalize it, and hit send with perfect timing. 5️⃣ Multi-thread from the start: AI flags new buying committee members to widen your reach. Your next Closed Won might already be sitting in your CRM....

  • Revenue starts with relationships. And relationships start with people. That’s how Andrew Morton, CRO at UserVoice, sees the value of UserGems. Yes, our platform helps teams scale relationships that drive pipeline. But what really sets us apart? The team behind the tech. From strategy to execution, we’re in the trenches with you every step of the way. Because software alone isn’t enough. Support, guidance, and real partnership? That’s where the magic happens.

  • Top reps aren’t wasting time guessing who to target. They’re using Clay + UserGems to build hyper-relevant, high-converting outbound workflows. 🔍 Clay helps you enrich and filter massive lists with precision. 💎 UserGems tells you who actually matters (like past champions, recent hires, and website visitors). Together? → You get dynamic workflows that find right-time, right-person leads. → You skip the noise and go straight to warm conversations. → You scale what used to take hours… in minutes. No more manual prospecting. No more spray-and-pray. Just smart, scalable outbound. 👀 Want a peek at how the pros are doing it? Check out how top teams are combining Clay + UserGems here: https://lnkd.in/gmR5BPwU

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  • UserGems 💎 reposted this

    View profile for Trinity Nguyen 💎

    CMO @ UserGems - The Easy Button for AI Outbound

    A LinkedIn post with the most comments ever (17,697) was one about AI agents. The hype is real but the question is… How do you avoid the smoke-and-mirrors and find the right AI Agent for outbound? 💎 𝗦𝘁𝗲𝗽 1: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 The success of your initiative depends on the data that the AI agents use, such as: 1st, 3rd party data like signals, your CRM data, product usage data, etc. If the data isn’t accurate, AI agents won’t be effective, or worse, they could damage your brand & reputation. As the saying goes, garbage in, garbage out. To assess the vendors’ data accuracy: 1. Identify 1-3 specific campaigns you want to start immediately with the AI agent. The results will be more relevant and real for your team. And once you pick a vendor, you can turn them on immediately, reducing the time to impact. 2. Provide each vendor with the same list of accounts and contacts so that you can compare apples to apples. For example:  - List of Customer accounts - List of Target accounts - List of Customer contacts - ICP criteria - Persona criteria 💎 𝗦𝘁𝗲𝗽 2: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗔𝗜 𝗺𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴 Ask each vendor to provide you with 20-30 sample emails for the campaigns to review. Even though messaging is subjective, you can assess for the following: - Does the AI articulate the pain points I'm solving, the persona-based messaging, and any industry-specific messaging well? - Are the emails truly personalized? “Bad AI” personalization is simple scraping output, like, if [this] then [that] without considering the holistic context around that account or buyer. That’s why they sound robotic or completely irrelevant. “Good AI” personalization: - Combines all the data points (signals) of what is happening at that account and buyers and any existing or past relationships you have with them - Knows which data points (signals) are more important - Can reference back to its previous messaging to the buyers so that it sounds natural & human-like 💎 𝗦𝘁𝗲𝗽 3: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘂𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆 One of the key factors for any new initiative is strong user adoption. For AI initiatives, usability isn’t only for the end-users (i.e. SDRs and AEs) but also for the business users & admins (i.e. SDR/marketing/sales managers and Ops) Depending on the level of AI and technical skills of your existing team, look for solutions that most of your teams can use, maintain, and scale. Overly technical solutions could cause: - Challenges in hiring & backfilling the technical resource - A bottleneck for the existing technical resource - Your team spending time tooling & bug fixing instead of focusing on the business outcomes ------- Follow this checklist and you'll probably save yourself & your team a lot of time and headache.

  • What if your next big deal is already in your network—and AI knows it? That’s how Meredith VandeBunte at Tinuiti is scaling faster, closing smarter, and saving time. Her strategy? Stack job change signals with referral plays to surface warm leads that convert. The results speak for themselves: 🔥 Larger deals 🔥 Faster cycles 🔥 More customer-led growth Curious what that looks like in action? Check out Meredith’s full AI-powered playbook: https://lnkd.in/eXPAjqgp

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