Employers want to see that you can bridge the gap between marketing and sales, use data to resolve conflicts, and take ownership of lead quality without shifting blame.
Use the STAR method to show a concrete example. Emphasize your process of listening, analyzing data, and collaborating to define criteria. Avoid blaming sales; focus on solutions.
Start by acknowledging the complaint without defensiveness, even if you privately disagreed with it. Say plainly that you treated the feedback as valid data, then explain how you investigated. Describe pulling the actual lead records and segmenting them by source, campaign, and sales outcome, and ask your sales team to point to the specific deals or interactions that felt wasted. That conversation matters more than the spreadsheet, so mention that you sat with them, not just emailed them, to hear what "low quality" meant to them in practice. From there, explain that you compared their definition against your lead scoring criteria and found the gap, perhaps where volume targets pushed you to accept unverified inquiries. Then say how you resolved it: you revised the criteria together, agreed on a shared lead definition, and set up a feedback loop, maybe a weekly tag or a simple scorecard, so both sides could see the fix working. In the Philippine setting, you can note that this often means aligning with the sales team's shift schedules and using a mix of English and Taglish in the huddle to make sure everyone is heard. Close by emphasizing that you owned the outcome and made the process better for both teams.
A common Filipino mistake is saying, 'Sabi ko lang sa team na hindi naman talaga low quality yun, nagrereklamo lang sila' which sounds defensive. Instead, say, 'I acknowledged the feedback and worked with sales to define what a qualified lead looks like, so we could meet their needs together.'
Situation
In my previous role as marketing lead for a B2B SaaS company, our sales team repeatedly complained that leads from a new content marketing campaign were not converting, claiming they were unqualified and wasting their time.
Task
I needed to objectively assess lead quality, identify root causes, and realign the marketing and sales teams on lead definitions to improve pipeline quality.
Action
First, I analyzed conversion data from lead to opportunity, segmenting by source and campaign. I sat down with the top-performing and lowest-performing sales reps to understand their qualitative feedback. I discovered that while the leads met our demographic criteria, they were too early in the buyer's journey. I then organized a joint workshop with sales leaders to revise our lead scoring model, incorporating behavioral signals like content downloads and website visits. I also implemented a weekly lead review meeting to calibrate on MQL criteria.
Result
Within two quarters, the lead-to-opportunity conversion rate increased by 35%, and sales accepted 90% of MQLs as worth pursuing, significantly reducing friction.
Regular collaboration between marketing and sales is essential to align on lead quality and ensure marketing efforts drive pipeline, not just volume.
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