The days of Finance teams simply counting the numbers are over. Today, Finance is expected to deeply understand, model, and partner with the rest of the business. Emerging technologies like generative AI are poised to revolutionize the finance function, ushering in a new era of strategic, data-driven decision-making.
That’s why QFlow.ai decided to partner with Paul Barnhurst and Glenn Hopper to launch the Future Finance podcast.
Today, we’re pleased to announce Segmented Forecast Scenarios on QFlow.ai.
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Companies of all sizes are adopting QFlow’s blended annual revenue forecasting engine. The positive feedback from customers and prospects has kept the QFlow team motivated. One piece of feedback was loud and clear. Segments are important.
More than ever, the attention span of a B2B buyer is fleeting. B2B CEOs are adding lead response time to the short list of key metrics reviewed daily.
Why? Because every lead counts right now. When a lead raises a hand asking for sales to get in touch, the likelihood of conversion to an opportunity correlates with timely follow-up. Leadership is right to focus on this tactical metric right now. As far back as 2011, a study in the Harvard Business Review found that companies are just too slow to respond. The authors found that the reasons for this…
TLDR: we’re pleased to announce that we’ve caved. You can now track MQLs and SALs with consolidated campaign insights on QFlow.ai.
Background: We’ve always been skeptical of “MQLs.” Reporting on MQLs felt so rudimentary, like configuring a Tableau chart or modifying the step-function logic that often drives the creation of an MQL itself.
Most B2B marketing professionals have used the Salesforce Campaign object. But if you’ve tried to reliably track marketing spend in a finance-friendly way using Salesforce campaigns, you’ve run into some fundamental limitations. Tracking ongoing campaign spend in marketing automation platforms HubSpot, Marketo, and Pardot is not possible — sadly, that’s why most teams end up in spreadsheets.
We’ve written about in-quarter sales forecasting and the importance of data hygiene and sound, repeatable process when it comes to calling your current quarter accurately.
Salesforce.com forecasting features are typically a pain to configure, use, and maintain. An industry of sorts has emerged to address some of Salesforce’s shortcomings.
As QFlow.ai has grown over the last twelve months, one area of our focus has been supporting our most security-minded customers’ needs.
Many of these types of enhancements take place behind the scenes. So when they don’t, we celebrate a bit…
We are pleased to announce that QFlow.ai is now Okta-verified and available in the Okta Integration Network.
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Three years ago, using HubSpot for anything other than marketing automation was frowned upon. Sales ops didn’t like HubSpot CRM1. Sales reps didn’t get it.
A lot has changed.
With the formation of QFlow.ai, I wanted to share a bit about what QFlow is and does, but also try to answer the question: why build QFlow?
Let’s begin with the problem. Both I and my co-founder have spent years in executive positions (CFO, VP Finance, VP Operations, VP Marketing, etc.) at B2B companies. At each company, between sales, marketing, customer success, and finance, we had a lot of tools generating a lot of data. But our organizations were by and large stuck with outdated tools and skills to analyze that data.
