Author name: Paramita Patra

Your marketing team is running a campaign. The ads get clicks, the landing page attracts attention, and visitors fill out forms. Yet, weeks later, sales teams give feedback that the leads are not converting to opportunities. Despite the form submissions, it doesn’t lead to conversion.   Tracking form fills alone limits conversion because it overlooks how prospects interact with your brand. For example, a prospect might download a whitepaper but never revisit your site. At the

Your sales team is chasing a high-profile account. The company perfectly fits your ICP, but at the peak moment, it stalls. What happened? The answer lies in timing. You focus on accounts that are showing strong purchase signals. But by that stage, your competitors are already in the conversation, and the window of opportunity has shrunk. However, spotting interest much earlier is possible due to early-stage intent data.   Early-stage intent data refers to signals that

Your sales team is reaching out to prospects who aren’t ready to buy, while your marketing team is running campaigns that don’t resonate with the right audience. The result? Missed opportunities, wasted resources, and misaligned vision. But if both teams work together, you can target prospects with the help of AI-powered intent data. What makes AI-powered intent data so compelling? It can detect signals across content engagement, keyword searches, and social activity and turn them

With the evolving B2B landscape, every marketing dollar is under scrutiny. Every dollar spent needs to justify its return, and the allocated budget can make or break campaigns.   Conducting a cost comparison of marketing strategies is necessary to maximize ROI. Many organizations absorb “leakage costs” such as duplicated creative production, uncoordinated media buys, and inconsistent brand positioning that weakens trust. A thorough comparison helps to understand how the reallocation of budget toward an approach can