Zapier Survey Finds 92% of Sales Teams Drop Qualified Leads Every Month as Tools Outpace Workflows

Zapier, the AI orchestration platform, today released findings from its Dropped Leads survey of more than 400 U.S. B2B sales and marketing managers. The research points to a problem most teams feel but rarely measure. 92% of managers say qualified leads slip every month, not for lack of tools but because those tools don’t talk to each other. Most teams have assembled real tech stacks (a CRM, follow-up sequences, increasingly AI agents) without building a workflow that ties them together, so follow-up stalls when ownership is unclear or systems aren’t aligned.

“Teams keep buying tools to fix a problem that’s really about connection,” said Lindsay Rothlisberger, GTM Innovation Director at Zapier. “When three different tools each do one piece of the job but nothing strings them together, a person ends up being the glue, and people get busy. Leads go cold while everyone’s heads-down on whatever’s loudest. The teams that fix this aren’t the ones with the most software. They’re the ones whose software hands off to itself.”
 

Key Survey Findings

• 92% of sales managers say qualified leads are regularly dropped each month. For 38%, it happens multiple times a week; 12% say it happens nearly every day.
• Reps lose up to 10 hours a week to work that isn’t selling. 68% of managers say their teams spend 3 to 10 hours weekly on CRM upkeep (entering leads, updating deal stages, fixing duplicates), which can eat up to a quarter of a 40-hour week before a single follow-up goes out.
• Follow-up breaks down after the first touch. 42% of managers say their teams fail to make a second or third attempt after initial contact.
• Leads get stuck in the handoffs. 37% say leads fall through the cracks between their marketing tools and CRM, or between marketing and sales teams.

The Tools Are There. The Connections Aren’t.
Sales teams aren’t holding back on AI. 91% of managers have started folding it into their workflows, and 55% say AI is already fully integrated into their lead process. But having AI tools isn’t the same as having a connected workflow. When one tool scores a lead, another drafts outreach, and a third updates the CRM with none of them wired together, a person is still carrying the lead step to step.
 

Asked what would actually help, managers pointed at integration, not more tools. 51% want better integration across their CRM, email, calendar, and marketing platforms; 47% want automated task creation and follow-up reminders; 42% want personalized follow-ups sent automatically; and 41% want leads routed to the right rep without anyone stepping in.

What This Means for Sales Leaders
Based on the findings, Zapier recommends sales and marketing teams focus less on adding tools and more on closing the gaps between the ones they already run:

• Connect the stack before expanding it. The dropped-lead problem is rarely a missing tool. It’s a missing handoff. Map where leads stall, most often between marketing tools and the CRM, and wire those points together first.
• Automate the next step so it never depends on memory. When a lead arrives, the record should be created, the rep notified, and the follow-up sequence triggered automatically. A follow-up that fires on its own doesn’t compete for attention.
• Govern the AI you’ve already adopted. With 91% of teams already using AI, the gap isn’t adoption. It’s coordination. Bring those tools into one workflow with shared visibility and guardrails so AI moves leads forward instead of adding another inbox to check.
   

Full survey results: https://zapier.com/blog/dropped-leads-survey/
 

About the Survey
The survey was conducted by Centiment for Zapier between April 3 and April 17, 2026. The results are based on 404 completed surveys. To qualify, respondents were screened to be U.S. sales and marketing professionals at the manager level or above who are directly involved in the sales process at their organizations. All respondents work at B2B or B2B/B2C companies with a minimum of 50 employees. Data is unweighted, and the margin of error is approximately +/-5% for the overall sample with a 95% confidence level.