Spover

Spover

软件开发

San Francisco,California 394 位关注者

Your Data Analyst for Sales, Marketing & Finance.

关于我们

Enabling Go-to-Market Teams with the data they need.

网站
spover.us
所属行业
软件开发
规模
11-50 人
总部
San Francisco,California
类型
私人持股
创立
2022
领域
reporting、analyst和data

地点

Spover员工

动态

  • Spover转发了

    查看Erick Mahle的档案,图片

    Unlocking revenue via digital innovation.

    Do you have some #RevOps in you as a Salesforce Admin? If you're not on a technical path (to CTA, etc)... chances are you might. Hear Ben and I break down: - What is Revenue Operations (and an analogy between a hammer and a scalpel) - The role that technology plays in Revenue Operations - The role Revenue Operations plays in adoption and scaling technology efforts - How it differs in larger versus smaller organizations - Careers in Revenue Operations (for established Salesforce Admins and for folks looking to join the Salesforce Ecosystem) And if you're a RevOps professional, feel free to nitpick my definition of MQL/SQL ?? Few folks/organizations that got a shoutout (as great references in RevOps) throughout the chat: Wizards of Ops Ben Fuller (very clearly *not Salesforce Ben*) Eddie Reynolds / Union Square Consulting Pavilion Spover You can find the podcast on any of Salesforce Ben's main channels! Go check it out. #salesforce #trailblazercommunity #salesforceohana

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  • Spover转发了

    查看Derek Wang的档案,图片

    COO & Co-Founder @ Spover | ex-Zoom

    ?? Tips from Top SDR Leaders - How to Boost Your SDR Funnel "Call volume is everything!" False. We work with SDR leaders daily, and while call volume matters, only some have realized that tracking conversion rates at each funnel stage is the real game-changer. Low SAOs aren’t always due to call volume — it’s often about effectiveness at each step. Here are their tips to better coach your team and boost your funnel. ?? To boost Call Volume: ? Set Clear Call Targets: Define daily/weekly goals to keep SDRs on track ? Automate Admin Tasks: Use tools to handle follow-ups and CRM updates ? Incentivize Activity: Offer rewards for hitting call targets ?? To boost Call-to-Connect % ? Optimize Call Times: Identify the best hours for connecting ? Improve List Quality: Keep contact lists clean and targeted ? Personalize Outreach: Train SDRs to tailor messaging to prospects ? Refine Call Scripts: Ensure SDRs communicate value immediately ?? To boost Connect-to-Meeting % ? Train on Qualification: Use frameworks like BANT to qualify quickly ? Emphasize the Value Pitch: Ensure SDRs explain how the solution helps ? Develop Objection Handling Skills: Training for common objections ? Reward High-Quality Meetings: Recognize meetings likely to convert ?? To boost Meetings-to-SAO % ? Define Clear SAO Criteria: Ensure SDRs understand what qualifies as SAO ? Create AE Feedback Loops: Use it to refine SDR approaches ? Analyze Meeting Content: Review meetings to ensure clear expectations ? Ensure Smooth Handoffs: Equip AEs to continue the conversation You can coach each SDR by targeting problem areas in each step using this framework and these tips. Of course, Spover can help you track all these conversion rates?for all your SDRs in one place. Comment and let us know how your org improved SDR capacity and efficiency. #MetricsMonday #SDR #Sales #Pipeline #BDR #Spover #RevOpsSpelledBackwards #RevOps

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  • Spover转发了

    查看Derek Wang的档案,图片

    COO & Co-Founder @ Spover | ex-Zoom

    3 Overlooked Sales Metrics to Save Your Quarter! As Zoom's first data analyst, working with CRO Greg Holmes, I discovered three key metrics that helped transform our sales approach from reactive to proactive. They enabled us to make real-time adjustments to hit our targets, rather than just analyzing missed goals during QBRs. ?? ONE: Day 1 Pipeline Conversion Rate This is the reality check you need on day one! Ever wonder how much of your starting pipeline will actually turn into revenue? This metric reveals exactly that. It tracks the percentage of your quarter-opening pipeline that converts to closed-won deals by quarter-end. This was Mike Lazzaroni's favorite metric - his team's fuel for Cold Call Parties. Consider this scenario: - Historical conversion rate: 20% - Starting pipeline: $5M - Expected revenue: $1M Armed with this insight, you can: - Set realistic revenue targets backed by data - Calculate additional pipeline needed early in the quarter - Avoid relying on unpredictable last-minute deals ?? TWO: Closed-Won This Quarter vs. Same Time Last Quarter Instead of waiting until quarter-end to assess performance, compare your closed-won progress against the same timeframe in previous quarters. This creates an early warning system for your revenue goals - spot problems before they become disasters. Consider this scenario: - This quarter: 40% of goal achieved by Today (e.g. Day 45) - Last quarter: 60% of goal achieved by Day 45 - This is a clear signal that you are behind pacing, and intervention is needed This comparison enables you to: - Identify concerning trends early - Make tactical adjustments while there's still time - Coach underperforming reps before it's too late ?? THREE: Pipeline Coverage This Quarter vs. Same Time Last Quarter This metric compares your pipeline to remaining target ratio across quarters at the same point in time, revealing whether you have enough opportunities to hit your goal. Historical data makes this especially powerful. Consider this scenario: - This quarter: 2x coverage on Today (e.g. Day 20) - Last quarter: 3x coverage on Day 20 and barely met goal - Not enough pipe - immediate red flag for revenue risk Take action by: - Accelerating prospecting efforts - Prioritizing high-probability deals - Implementing deal velocity initiatives #metricsmonday #sales #pipeline #leads #salesforce #prospecting #pipecoverage #zoom #cro #arr #winning

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  • Spover转发了

    查看Derek Wang的档案,图片

    COO & Co-Founder @ Spover | ex-Zoom

    ?? ?????????????????? ?????? ???????????? ?????????????????? (??????) ?? Net Dollar Retention (NDR) is a crucial metric for any SaaS or subscription business, measuring revenue growth or churn from existing customers. Building an ARR reporting system in a centralized data warehouse like Snowflake is essential to unlocking insights into NDR and related metrics. ?????? ???? ??????????????: ?? Customer Satisfaction – A higher NDR signals strong customer satisfaction and upsell potential, fueling sustainable growth. ?? Growth Potential – Retaining and upselling existing customers is generally more cost-effective than acquiring new ones. ?? Benchmark for Success – An NDR above 100% is healthy, with top companies targeting 120%+. ??????????????: NDR (%) = ((Beginning ARR + Expansion ARR - Contraction ARR - Churn ARR) / Beginning ARR) * 100 ????????????????????: 1?? Data Spread Across Systems – Revenue data often resides in multiple platforms like Zuora and Stripe, making reporting complex. 2?? Account Hierarchies – Parent-child account structures complicate tracking, as internal revenue shifts are not churn or upsell but still impact reporting. 3?? Segmentation Complexity – Analyzing NDR by industry, product, or customer segment adds another layer of complexity. ????????????????: ?? Improving NDR is both simple and challenging: it’s all about creating consistent value and delivering happiness to customers. #metricsmonday #NDR #saas #churn #retention #snowflake #stripe #chargebee #recurly #nue #zuora #growth #netdollarretention

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  • 查看Spover的公司主页,图片

    394 位关注者

    Will AI Make Analysts Obsolete? https://lnkd.in/g7d6BZfv

    查看Derek Wang的档案,图片

    COO & Co-Founder @ Spover | ex-Zoom

    Will AI Make Analysts Obsolete? As AI reshapes data analytics, sales leaders might wonder if data analysts are becoming unnecessary. AI is accelerating insights from days to moments, but rather than eliminating roles, it’s merging them into a single, AI-savvy, business-oriented function. ? Faster Insights, Minimal Waiting In the past, sales teams relied on analysts, waiting days for data processing and reports. Now, AI and structured data models enable real-time insights, empowering sales teams to make decisions instantly, not days later. ? Current Data Roles Are Evolving AI automates routine tasks, yet human expertise remains essential. Analytics Engineers are still key to establishing clean, reliable data models that align with business objectives. Meanwhile, Data Analysts bring crucial skills in asking the right questions and applying business context—abilities AI cannot yet replicate. Together, they bridge the gap between raw data and actionable insights. ? The Future: An Integrated Data Role The future points toward a hybrid role combining data modeling, AI fluency, and business understanding to deliver on-demand insights. This AI-driven role requires expertise in creating data models, using AI tools, and translating data into actionable insights for sales. At Spover, we empower customers to access actionable data directly, removing dependence on data model building and reporting layers. With AI, sales insights are as agile as the strategies driving them, allowing teams to operate at the speed of data. #ai #sales #gtm #data #analyst #jobs

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  • 查看Spover的公司主页,图片

    394 位关注者

    We had a great discussion with three RevOps leaders hosted by Salesforce Ben. What a great time! https://lnkd.in/gtj8X7rb

    查看Salesforce Ben的公司主页,图片

    116,280 位关注者

    Join us for an engaging LinkedIn Live session where we’ll discuss the trends and challenges being faced by Revenue Operations professionals today, before delving into what the future of RevOps may hold. What to expect: - RevOps evolution: Discuss how RevOps has evolved over the years and the impact these changes have had on sales teams. - RevOps technology landscape: Explore the shifting landscape of RevOps applications and tools, and what this means for professionals in the field. - Priorities for the future: Uncover what’s most important to Sales teams and RevOps professionals in 2024, and how to stay ahead in a competitive environment. - AI’s impact on RevOps: Get insights into how the upcoming wave of AI tools is set to transform Revenue Operations. - Challenges and solutions: Identify the major challenges facing RevOps professionals today and hear how they’re solving them. Don’t miss this opportunity to gain valuable insights and get your questions answered by our esteemed panel.

    Salesforce RevOps Trends & Insights (Ask Me Anything)

    Salesforce RevOps Trends & Insights (Ask Me Anything)

    www.dhirubhai.net

  • 查看Spover的公司主页,图片

    394 位关注者

    Our own Henry Peng and Derek Wang joined Salesforce Ben and Alyssa Lefebvre to chat about learnings in sales forecasting.

    查看Salesforce Ben的公司主页,图片

    116,280 位关注者

    Forecasting can help propel your organization forward – by having accurate predictions, you can make informed decisions. While Salesforce has native forecasting features that are perfect for some businesses, what if you need more? If you worked for a hyperscaling company such as Zoom (especially during the pandemic), your requirements may be a lot more complex, and new types of tools may be needed. In this session, Alyssa Lefebvre (RevOps Specialist) will deliver a Salesforce Forecasting masterclass, showcasing the different ways you properly forecast your sales pipeline. You’ll also hear from Henry Peng and Derek Wang, who, as part of the Data Science team at Zoom, helped scale their RevOps & Forecasting processes from $30M in revenue in 2017 to over $4.5B in 2022. You won’t want to miss this session – sign up now!

    Scaling Forecasting in Salesforce: Zoom’s Story from $30m to $4.5B

    Scaling Forecasting in Salesforce: Zoom’s Story from $30m to $4.5B

    www.dhirubhai.net

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