Mollie Bodensteiner

AMA: Engine VP of Revenue Operations, Mollie Bodensteiner on RevOps Reporting

March 19 @ 10:00AM PT
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We will email you Mollie's answers to these questions after the event in case you can't make it.
What are some best practices for managing data quality for RevOps reporting?
What are some examples of successful initiatives that have been driven by insights from RevOps?
How do you ensure that the RevOps reporting process is aligned with the needs of the sales, marketing, and customer success teams?
What kind of forecasting models have proven to be most effective for you?
What is your framework for how to think about your data and reporting stack?
How do you get sales leaders to make data driven decisions and not just gut decisions?
How do you ensure that your RevOps reports are actionable, leading to strategic decisions and improvements in processes?
Can you share any lessons learned from mistakes or challenges you have faced in the process of developing and presenting RevOps reports?
What are some best practices for protecting customer data in RevOps reporting?
Which marketing metrics (before Discovery) would you require are reported direct...
from the CRM? Marketing has a google sheet dashboard, we have Hubspot (mktg) and Salesforce (CRM) and as RevOps I'm trying to push that they centralize more data in the CRM so we can marry up down funnel data points (like segment / customer insight) with top of funnel insight. And trying to decide what are the MUSTS versus Nice to Haves. Thanks!
What are some of the best GenAI tools or solutions tailored to the RevOps work?
Is cohorted or non-cohorted reporting better for GTM initiatives?