
The role requires weekly performance reporting and using data to hit targets. No verbatim questions exist, but this tests analytical thinking and how you translate data into actionable sales strategies, a skill Cebu Pacific values.
Explain your process: start with the key metrics you track (bookings, revenue, ancillary attach rates), then describe how you segment accounts or identify outliers. Give a concrete example of a data insight that led to an upsell or cross-sell.
Using sales data effectively starts with tracking the right core metrics for the role, such as order volume, order frequency, revenue per account, and any relevant attach or upsell rates, then comparing current performance against targets or prior periods to spot patterns. That comparison surfaces outliers: an account ordering well below its apparent potential given its location or foot traffic, a product line underperforming in one territory relative to similar territories, or a seasonal dip that needs a proactive response rather than a reactive one. Once a gap or opportunity is identified, the next step is turning it into a specific action, such as recommending additional shelf space, proposing a bundle, or suggesting a promotional push timed to a slow period, and then following up to confirm the recommendation was implemented and to measure whether it moved the numbers.
A common mistake is saying, 'Tingnan ko lang po yung numbers, pero hindi ko po masyadong gets.' Accepting ignorance undermines credibility. Instead, say: 'I'm comfortable analyzing data, and here's an example of how I've used it to spot a gap.'
Situation
In my last role as a sales coordinator for a consumer goods distributor, I was responsible for monitoring monthly sales reports across 15 retail accounts. I noticed one account had a high sell-through rate for our snacks but zero purchases of our new beverage line.
Task
I needed to identify why they weren't stocking the beverages and build a case to present the opportunity.
Action
I pulled inventory movement data and found that nearby competing stores were seeing strong beverage sales. I created a one-pager showing the category growth trend and projected an additional PHP 80,000 monthly revenue for the retailer if they stocked our top 3 beverage SKUs. I scheduled a call, walked them through the numbers, and suggested a low-risk starter pack.
Result
The account agreed to a test order, and within three months, beverages became 12% of their total purchases from us.
Data can reveal overlooked opportunities when you analyze beyond the obvious.
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