Plus top threads from our Slack group, RevOps reads of the week and lots of other scintillating tidbits 🔥
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Unlocking Data Quality Excellence: Strategies and Principles 

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Job Hunting? 6 Interview Tips for RevOps Pros

 

Now that the market in B2B technology has cooled considerably, expectations have changed. Employers can be more selective -- and love or hate it -- the power dynamic is back on their side.

‍

We'll look at what a hiring manager is thinking about when searching for their next team member, why interviewing should be viewed as a two-way street, and what kind of preparation will go a long way in securing your next dream job.

 

Check out our 6 interview tips for RevOps professionals below. 👇 

Read the full post here 📚

📊 Weekly Slack Stats (June 19 - June 25) 📊

 

🧵187 Messages Posted | 💬 368 Replies | 👍 1,010 Reactions |

👏 48 New Members | 🎯 209 members posted or reacted to a message

 

The most active contributor was Ed Frame, Founder @ Exemplify

🧵Top Slack Threads 🧵

 

From #04_RevOps-questions: from SFDC to custom CRM 🫢

 

my company wants to move away from Salesforce & towards a proprietary CRM, which won't be ready for a while, so now I am juggling the business not wanting to invest/build out SFDC enough to run the business well, today, because they plan on deprecating SFDC someday, but still needing today’s data out of it. This obviously presents issues when I try and improve things/feed our other systems into SFDC, because it’s easily looked at as a waste of time.Has anyone ever encountered this / something similar before? How do you ensure alignment / that the biz still views the RevOps function as beneficial?.  Read all 19 replies here.

 

From #04_RevOps-questions: not using close dates in SFDC

 

has anyone ever encountered a sales team that does not believe in using/updating close dates in Salesforce? Pipeline is currently managed by the sales leader from a Google sheet? Read all 14 replies here.

 

From #08_tools-and-software: showing ramped ARR in Hubspot

 

HubSpot Folks, has anyone found a solution for calculating a ramped ARR for the first year using products? Ex: Rather than multiplying the MRR x 12, I'd like to take a percentage of each month's revenue and calculate a more accurate year 1, while a client ramps. Month 1 = 25%, Month 2 = 30%, Month 3 = 35%, etc.) If the MRR was say $1,000, Month 1 = $250, Month 2 = $333? Read all 12 replies here.
 

📚 RevOps Reads of the Week 📚

 

4 Subscription-based Pricing Models and Which is Best For Your Business | Dealhub

 

Subscription-based pricing models have been around since the 17th century and became prevalent with the rise of newspapers, journals and book publishing. Today, more and more companies are leveraging subscription pricing models because it’s convenient for customers, provide a stable stream of recurring revenue, and create opportunities to scale revenue growth.

 

However, every company handles subscriptions a bit differently. In this article, we take a look at four subscription-based pricing models, including considerations to help you determine whether you’re using the best pricing model for your own product or service.

 

Ways to increase pipeline coverage | Gradient Works

 

So you probably know you need more pipeline coverage if you have any hope of hitting your number this year.

 

In years past, sales leaders would aim for a 1.5x - 3x pipeline coverage ratio (roughly how much early stage pipeline you have relative to what your sales targets for the time period are). But now, we're consistently hearing that teams are looking for 4x - 7x pipeline coverage. That's a lot more early stage pipeline. 

 

Why do we need so much more pipeline coverage right now? Because sales cycles are unpredictable. We just can't predict with much certainty what opps will close, and how quickly. So we need to start with more, knowing less is going to make it to the finish line. 

 

How can you increase pipeline to get your pipeline coverage ratio up? Here are some tips to refocus your sales team and increase pipeline creation.

 

5 RevOps hacks to make your B2B data ready for anything | Openprise

 

The release of ChatGPT and other powerful AI models is the latest reminder of technology’s immense potential. Spend a minute playing with it, and it’s hard not to marvel at its capabilities and imagine the possibilities. But it’s equally hard not to miss its limitations. Technology may ultimately be our savior or ruin, but right now, it’s clearly NOT the answer to everything. Case in point: the persistent problem B2B companies have with poor data quality.

 

Here are five ways you can start using AI today to whip your data into shape and keep it operational for any advanced marketing or sales motion

      💼 Featured RevOps Jobs 💼

       

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      Don't forget to check out the #jobs channel in Slack for more opportunities, and our Talent Marketplace where you can get matched with an opportunity that makes your heart skip a beat. 

       

      And if you're hiring, check out our RevOps Talent Placement service powered by TwentyPine.

      Not a member? RevOps Co-op provides resources, content and community for those who ❤️ revenue operations. This weekly newsletter features curated content on a variety of RevOps topics. We also have a private Slack community with 9,000+ RevOps pro’s from companies like Slack, Lyft, Clari, Miro and more 👉🏻 click here to join.

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