< Back to Main
Will Collins: 2021 Operational Planning and Good Goal Setting
2021 Revenue Planning and Goal Setting
- From the Venture (Capitalist) side, you’re looking externally at a company and asking questions such as:
- What does gross retention look like
- Net retention and growth LTV to CAC
- Some of these key metrics and trying to decide, you know, whether or not to invest
- The challenge is that the data lives in different systems. How many qualified leads do you have? What’s your pipeline conversion rate? These terms require definition and consistency. And so when you have teams in different tools operating with different definitions, it becomes difficult to understand what’s happening.
- To solve this problem, Drift centralized the team building and created a common set of definitions and built a common language so they knew what their funnel was.
- Once they identify those four or five common sets they can decide where resources need to be focused or where they want to make a bigger bet. This helps them isolate what can move the needle. To be more focused and to identify what those opportunities are.
- Operational teams that report to Revenue Operations include:
- Sales operations
- Customer support operations
- Marketing operations
- Data engineering team – which is really moving all of your data back into a centralized warehouse with a common set of definitions
- Analytics and data science teams
Drift’s Strategy for Sales Performance
- Drift’s sales performance strategy is broken down into three phases:
- From a macro perspective, the first year or two Will was building the team. He and his team had to make sure they had all the key data points. They had a foundational understanding of what they wanted to track and why. The last year or two has been focused on reporting and making sure they have all the metrics and that they are surfaced to the team. They asked, “How do we get from a reactive report to a proactive insight?”
- It will take years in each phase. He doesn’t expect to be able to predict quite yet, but they are understanding how to look at the data and get insights on a real-time daily, weekly, monthly basis that can feed back into the business? An example is analyzing marketing campaigns and determining whether or not the messaging is really working.
Revenue Optimization and Insight
The cycle proliferates cross-functionally, making sure they have repeatability and predictability on a weekly basis to understand the why behind the number. If you understand the why, then you can understand how to manipulate it or how to take action when something is working or not working.
Follow Will on LinkedIn