It’s essential to adopt a full-funnel attribution solution that empowers you to understand your data, analyze marketing performance at different journey stages, and boost both conversions and pipeline.
While there are a variety of vendors on the market today, it’s critical to find the best fit for the needs of your marketing team. Here are a few tips to consider.
1. Identify a solution that analyzes performance from both marketing and sales funnels
It's crucial to find a platform that will actively bridge the gap between marketing and sales funnels. This platform should offer comprehensive insights into the lead-to-prospect journey, enabling you to make informed decisions for your entire revenue motion.
2. Make sure AI modeling is designed for inconsistent data
Let’s face it—most marketing teams don’t have the cleanest data. The good news is, there are ways to diagnose your pipeline health even with incomplete data inputs. When choosing a partner, seek out AI modeling that can handle incomplete data inputs effectively. This will help keep your reporting reliable, even when dealing with varying or irregular data sources.
3. Choose a platform that goes live in weeks, not months
In a world where market conditions can change rapidly, the ability to get your platform up and running within weeks allows your business to respond swiftly to emerging trends and shifting business demands. Shorter deployment timelines often translate to cost savings. With fewer resources allocated to getting timely, accurate analytics, you can focus on making strategic decisions that will impact pipeline this quarter and next.
4. Choose a pipeline intelligence offering that complements your ABM platform
Traditional ABM platforms have a wealth of insights and reporting capabilities for accounts, intent and engagement. However, platforms that offer more sophisticated pipeline intelligence capabilities include pipeline predictions on how those accounts will convert and how much pipeline they will generate. In using these two solutions together, companies can build more accurate forecasts around where larger deals from target accounts will come, which helps with sales bandwidth and resource planning as well as marketing allocations.