Peak trading periods come with pressure. Promotions are planned, displays are designed, stock is forecasted – but as every Sales Director, Category Manager or NAM knows, real-world seasonal retail execution rarely follows the plan.
Stock delays. Missing SELs. POS that never makes it to the shop floor. In-store execution gaps like these cost brands dearly – especially during seasonal peaks when performance is under a microscope. And more often than not, by the time you notice a problem, it’s already too late.
But what if you could see the signs earlier? What if your retail data insights didn’t just report the issue – but predicted it? And what if those insights triggered fast, targeted interventions to fix things before sales take a hit?
That’s where CPM's real-time retail data, predictive analytics and agile field deployment come into their own.
Brands across FMCG, healthcare, consumer electronics and hardware pour huge effort into planning for seasonal trading peaks – whether that’s Easter, summer, Back to School or the all-consuming Q4 golden quarter.
But while the plan may look flawless in a deck, retail execution conditions are more unpredictable than ever. Retailer teams are stretched. Replenishment cycles are slower. Store compliance is inconsistent. Also local factors – from weather to regional events – can shift demand overnight.
Execution suffers. Stock ends up in the back. Displays go up late and promotion compliance slips. Without the right visibility, brands are often slow to react – missing the sales spike they’ve invested so much to capture.
The good news? Brands now have access to more data than ever (or if they don’t have it themselves – we do)
Used right, this data can do more than just tell you what happened. It can help you predict what’s likely to go wrong – and where.
Imagine:
With predictive retail analytics layered over these insights, we can flag stores at risk, spot trends before they spiral, and build intervention triggers/alerts that go straight to the front line. We can determine what is the best way to make an intervention for the best ROI or what to prioritise to achieve your specific commercial focus – whether that’s purely sales, brand awareness, brand reputation or your profit margin.
Here’s how it works in practice:
That’s not reactive – that’s retail performance protection.
Ideally you don’t wait for a problem to be reported. You act before it impacts your seasonal sales.
This approach shifts your seasonal and peak activation strategy from firefighting to foresight.
When every day of seasonal or peak trading counts, that difference is everything.
While the pain points may differ, the challenge is the same across sectors:
Whatever the product, the stakes are high when peak moments arrive. Brands need more than a plan – they need precision execution, real-time visibility, and agility on the ground.
With our Liquid approach we help brands move from reactive to predictive – combining live retail insights, smart analytics and agile field marketing deployment to make sure your strategy lands where it matters most.
Let’s turn your data into action.
There’s a better way. Let us show you how.