We got over a 100 demo requests after our announcement last week. Interestingly, many prospects are pretty skeptical of AI tools but still believe there’s value to find. Here’s what we’re hearing from sales leaders: “I bought an AI SDR and it’s going to take us months to fix our domain reputation.” “Email to meeting conversions were great at first, and then dropped off a cliff.” “We were promised results, but the KPIs aren’t moving” This isn't just a response to AI vendors. I think it's a reaction to how early AI tools are in the market. Check out the AI in sales results survey from Theory Ventures—I've added an image to this post. My key takeaway is that AI is still early in showing lagging indicators that ultimately matter to sales leaders, but many buyers expect it to improve soon. So, what is Endgame doing about it while the market matures? First off, we believe AI is too early to try to remove humans from the loop. Most AI tools are focused on low-level automation, e.g., emails, calls, data entry (which are easy to measure as proof of “impact”), but the best-case scenario is replacing a high-school-level SDR, and most businesses would be served better by up-leveling the experienced talent they already have. Our goal is to helps reps differentiate by removing the work that’s really hard for humans to do so they can do the work humans are excellent at: building relationships and creating value for customers (posts on this topic coming soon!). Measuring the impact of smarter sellers and deeper customer relationships is hard in the short term, but that's where the real value is. 10x over 10%, even if it takes a bit to prove out. To demonstrate our value, we've made Endgame incredibly easy to set up and risk-free to test. Getting hands on product and seeing what AI can do is absolutely critical. Our philosophy? Show, don't tell. We'd also love to hear from you to better understand what's working. What are AI vendors doing that’s making a real impact?
Endgame
科技、信息和网络
San Francisco，CA 4,144 位关注者
We believe enterprise sales is about more than just closing deals—it’s about building trust.
关于我们
At Endgame, we help enterprise sales teams build trust with buyers. With 88% of buyers only purchasing from those they trust and 80% of meetings failing due to poor preparation, we make sure your reps are always ready. Our platform brings together data from emails, calls, CRM, LinkedIn, financial reports, and more, providing a complete, real-time view of every account and contact. This means your team can approach every meeting with confidence and insight. Unlike AI tools that focus on automating outreach, Endgame emphasizes human connection. We equip your reps to develop informed POVs, understand buyer needs, and build the credibility to stand out in today’s market.
- 网站
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https://www.endgame.io
Endgame的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 总部
- San Francisco，CA
- 类型
- 私人持股
- 创立
- 2021
地点
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主要
获取路线
US，CA，San Francisco，94104
Endgame员工
动态
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Endgame转发了
?? Big news! ???Last year, we pivoted Endgame to solve the most important question in sales: What do buyers really care about? (Hint: It’s not another AI-generated email.) Today, we're thrilled to launch Endgame 2.0, an AI-native product that helps sellers build trust with buyers. We're not creating AI SDRs or investing in spammy sales tactics. Instead, we use AI to help sellers truly understand their buyers. Every buyer wants a seller who understands their needs and can be a trusted advisor helping them make the right decisions for their business. That’s how the best sellers operate. They go deep: They research, prepare, map out the buyer’s world, and keep up with every change. But even for top sellers, this process is manual, repetitive, and takes incredible effort, so they’re limited to focusing on just a few accounts. Endgame 2.0 changes that. Discover how in the video below, and check out our blog post for details ??
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GenAI makes the process of researching your prospects easier than ever—and our very own Aditya is showing you the ropes in his latest post! Check it out below to learn how you can streamline value hypothesis development! ?????♂?
Great sales reps know they have to sell to people, not accounts. However, it takes a lot of work to translate company-level pain points and initiatives into value props you can communicate to individual stakeholders at the companies you’re trying to serve. Check out our post (link in comments) on how to think through this problem, starting with an earnings call analysis and ending with persona-specific messaging, and how much AI can help accelerate your process!
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The best sellers use every data source available to deeply understand their accounts. Check out Aditya's write up on analyzing a company's earnings call with a little help from ChatGPT! ?? ??
Earnings calls contain a wealth of information that sellers can use to understand public companies in their book of business. It’s pretty remarkable how much insight CEOs, CFOs, and other public company executives provide to analysts each quarter that great reps can use to deeply understand what their customers care about and how they can help. However, they are a pain to review — watching the video is super time consuming; picking through long transcripts can take just as long. Happily, ChatGPT makes this way easier. Check out a post where we use Zscaler as an example to show how ChatGPT can help you: * Glean insight into strategic initiatives * Suss out market and executive sentiment * Learn how the company is responding to market concerns Check it out in the comments, and let me know if you have any thoughts!
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Aligning the GTM team on 'enterprise readiness' requires a ton of organizational shifts. Everything from... ? Establishing a shared understanding of 'enterprise' ?? Revisiting your ICP ? Attracting early adopters with creative agreements and so much more ?? https://bit.ly/4a3Ii6m Thanks to Jessica Arnold (VP of Sales Development, Amplitude), Renu Gupta (SVP of Revenue, Pachama), Lauren Schwartz (VP of Enterprise Sales, Fivetran), Kelly Bray (VP of Account Management & Product-led Sales, MongoDB), and our own Sam Taylor (CRO, Endgame), for sharing their advice on how to move up market.
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'When you ask people what brands really resonate with them, it tends to be consumer brands...When my mom's dog died, she was devastated. And Chewy sent her flowers. To her home. It was unbelievably meaningful...That's a thing they do that's driven a tremendous amount of loyalty.' —Samsara's President of Worldwide Field Operations, Lara Caimi B2B brands—let's be more like Chewy. Here's the rest of Lara's advice on how to develop a more customer-centric culture ?? https://bit.ly/3Sm8AL0
B2B GTM Teams — take notes from B2C customer culture
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??♂? Scott Leese: "The only [sales] roles that will be safe in the future, are the best of the best who run the last mile. Because at it's current rate of growth, 8 years from now AI will be 128x more powerful than it is today." Kevin "KD" Dorsey: "The impact of AI on sales will depend on the leaders. My worry is that the majority of leaders will look at AI to do more of what we're doing now, instead of how can we do things better?" ??♂? Scott Leese "If AI can free up an hour or 2 per day, that's only awesome in so much as how do I spend that time? AI will make lazy people lazier...But the best of the best will figure out how to be productive with time savings and efficiency gains." These experts dropped some serious Friday food for thought... ??
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When PagerDuty was ready to expand into Europe and Asia, they restructured their hybrid product-led ? sales driven sales org to best serve 3 distinct market segments: 1. The enterprise tier for high-value contracts 2. A split mid-market division covering upper and lower ends 3. A digital-focused approach for smaller accounts ?? Michele Prashaw explains how this move helped their team allocate resources more effectively and play to their strengths in each market: https://bit.ly/3TaHLcZ
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Rescale predicted closed won revenue with 98% accuracy ?? 98%? Gabe Rothman, VP of Operations, explains how they built an opportunity probability model that found a strong correlation between the length of time a deal stayed within a particular stage and its success rate. The model was so accurate, they applied these win rates and thresholds to their opportunities in Salesforce. Read more here: https://bit.ly/3UP34Cj
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Nothin' like some in-person time! Our PDE team spent a week together in Boulder doubling down on our AI-native design principles to help 10x the number of accounts reps can actively manage. Want to know what they're cookin' up? ?? Sign up for beta to be first to know ?? https://bit.ly/42DGMoR Shout out to Brian F., Christian Schlensker, Daniel Reverri, Dirk McNealy, Ellie Sceeles, Farshad Miraftab, Ivan Bogdanov, James Estes, John Hungerford, Kate Schaefer, Kyle Wild, Matthew Goshman, Miles Ceralde, Ryan Tyer, Tara Stockton Brodene, & Alex Bilmes for an incredible week.
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