AI Sales Forecasting: The Data Your CRM's AI Can't See
The pipeline is in the CRM. The forecast isn’t.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Sales Leaders: Turn Intuition into Impact #OnTheSpot with Spotter
Sales Leaders: Are you making decisions based on data, or just a "gut feeling"? If you want to move faster, you need to see this. James Smith, our SVP of EMEA, is demonstrating a hashtag#wowmoment that turns a vague intuition on SDR pipeline progression into a multi-million dollar revenue roadmap using Spotter.
Fix Your Sales Forecasting: How Databox Uncovered Real Win Rates
Tired of inaccurate forecasts and one-size-fits-all coaching? Tory Ferrall from Databox shares how her team revamped their sales forecasting model to drive better results—using Databox to calculate real win rates based on actual deal stage performance. By tracking when deals enter each stage and analyzing their true conversion likelihood, the team identified gaps that HubSpot’s default probabilities missed. The result? More precise forecasting and deeper insights for rep-level coaching.
Track Sales Velocity by Source in HubSpot (Using This Smart Dashboard Setup)
Want to know which marketing channels are driving your fastest and most valuable deals? In this video, Alex Lee, Sr. Business Analyst at Intellect, walks through a powerful HubSpot + Databox dashboard setup that maps sales velocity over time—tracing today's closed-won deals back to lead generation efforts from 60–90 days ago. By offsetting timelines for new leads, discovery calls, and closed deals, you’ll get a more accurate view of pipeline health and velocity. Plus, learn how segmenting by lead source uncovers which channels are producing your highest-converting leads the fastest.
How to Align Your Sales and Marketing Teams in B2B in 2025
Since sales and marketing both drive customers down the pipeline, it’s no wonder that the two departments often work together. When we surveyed more than 170 companies about their sales and marketing alignment, the majority told us that sales have at least some influence on marketing. About 45% of the respondents reported that their sales have a significant influence on their marketing.
Marketing and Sales in Uncertain Times: Strategies & Spending Impact (2024)
Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. No matter what size your business is or what market you operate in, there’s one thing every business will confirm – marketing and sales during a downturn can be extremely challenging. But that doesn’t mean you should turn off the tap on marketing and sales until things get better.
Fast-Track to Data Insights: Deliver Impactful Salesforce Sales Metrics to the Databricks Gold Layer
Join Kelly Kohlleffel from Fivetran in this demonstration that moves and transforms raw Salesforce data into impactful sales metrics in the Databricks Data Intelligence Platform. Learn how to set up a Salesforce to Databricks connector with Fivetran’s fully automated and fully managed data movement platform. Then watch how the new dataset in Databricks is automatically transformed from the Databricks bronze layer to the gold layer—making it analytics-ready and data product-ready in minutes.
Selling Smarter: Expert-Recommended Strategies for Nailing Every Step of Your Sales Process
Want to oil your sales machine with the right strategies? Here’s how 100+ experts nail each step of their sales process.
9 Best Ecommerce Reports to Boost Online Sales (Sourced from 30+ Pros)
Here are the top 9 ecommerce reports that online store owners across the globe track to improve business performance and grow revenue.
Sidestep the BI BS: 6 questions to ask before signing a contract
I recently watched the movie Air. I absolutely loved it. Note: if you don’t want spoilers, you may want to skip the next two paragraphs. Air is a story chronicling how Nike, the underdog in those days, steals Michael Jordan away from Adidas and Converse. With the cards stacked against Nike—they had a much smaller budget than their big-brand competitor, Adidas—it was conventionally assumed that Michael was better off signing with a more established brand.