Pillar 2 — Data & Insights
Stratics doesn't settle for average. We build, analyze, and interpret your customer data so that your marketing and executive teams can make decisions based on what's really happening—not on what the average hides.
Schedule a callThe sticking point
The problem in most organizations isn't a lack of data. It's that no one has the time or the insight to determine which figures are accurate and what they mean when taken together. As a result, the same questions keep coming up every quarter.
What's missing isn't more data. It's someone who can tell you which segments are accurate, which KPIs really matter for your business, and what story the numbers tell when taken together.
What You'll Do Differently Tomorrow
The frustrations that come up every week, and what replaces them.
Static reports that are already out of date by the time you open them.
Live dashboards that update automatically.
It takes hours or days of work to update all the figures.
Real-time insights, automatically updated.
Everything in Excel, using manual copy-and-paste.
Professional BI solutions like Power BI that you can rely on.
Exports that each department interprets differently.
One shared truth for the entire organization.
Reporting on what has already happened.
Anticipating what's to come.
You don't know which campaign worked until after the fact.
Making adjustments while the campaign is still running.
What We Do
Six types of services we offer to turn your data into actionable insights. You choose what you need—individually or in combination.
01
Dynamic segmentation, KPIs tailored to your business, RFM, lifecycle, retention, and loyalty. Plus predictive insights: who’s likely to buy, who’s at risk of churning, and how much a customer is worth.
We develop deep predictive models within the AI & ML pillar.02
Dashboards that update daily or in real time, KPI tracking, and ROI analysis. Ready for tomorrow morning’s marketing meeting—not just after Friday’s manual export. Visual, shared, for marketing and management.
03
There are plenty of dashboards out there, but they don’t work: too cluttered, too slow, too difficult to quickly extract information from. We design according to the 3-30-300 rule. You can grasp the key message in 3 seconds, the context in 30, and the full depth in 300. This way, your executive team gets the signal they need to make a quick decision, while the self-service BI layer underneath is ready for anyone who wants to dig deeper.
04
A thorough analysis of your customer behavior, trends, and brand performance. We don’t just look at the average—we drill down across all your segments and cohorts: where are you growing, where are you losing ground, which opportunities are being missed, and which problems you haven’t yet identified. You’ll gain a clear picture of where you stand and where the real levers for growth lie.
05
The questions that don’t fit into a standard dashboard. Market potential, customer behavior, product assortment analysis, geographic and store potential, household modeling. “What if we close this store?” “Which product assortment attracts which customers?” “Where is there still untapped potential?”
06
Measure what works, conduct A/B tests, learn from each segment, and make adjustments. You can see the ROI for each campaign and each channel, so your decisions are based on results rather than gut feelings.
How We Work
Good analytical work is a combination of critical thinking and execution. For us, those two usually go hand in hand.
Layer 1
What questions should you really be asking your data? Which segments make sense for your business? What do the numbers mean in the context of your market, your competition, and your season? This is the work that internal teams have the least time for—and where the most value lies. It requires seniority and industry knowledge.
Layer 2
Building dashboards that work for the people who need to use them. Calculating KPIs and segments based on your data. Data pipelines that will still be running tomorrow. Moving from manual Excel to real-time reporting. Ad hoc analyses for specific questions. Scalable within our team.
The difference from coaching is that with coaching, you choose a level. With analytics, the thinking and the execution are often intertwined within a single assignment. First, you refine the question; then you calculate and visualize the results; and finally, you interpret the findings together.
How We Differ
Two guiding principles shape all of our analytical work, and one commitment defines the level at which we operate.
Half of your customers never behave in a typical way. If you focus on overall numbers, you’ll miss out on the very customers who make the difference: the top performers you need to protect, the dormant customers you can reactivate, and the group that’s quietly leaving. We always work with segments.
If marketing reports 12%, finance reports 8%, and sales reports something else, it paralyzes decision-making. We’re creating a single set of definitions that the entire organization uses—not to prove everyone right, but so we can finally see the same thing.
You can get a report that’s “good enough” anywhere. We’re here to give you a competitive edge: sharper insights, honest data, and analyses that lead to a decision your competitors won’t see coming.
Honest About What You Get
"From data to decisions, not to dashboards."
Why Teams Focus on This
If the numbers are accurate and the story is clear, the discussion is shorter and the decision is more focused. That’s what good analytics boils down to.
"Every morning, our marketing meeting starts with one dashboard: MIP. That makes discussions shorter and decisions better."Marketing Manager, ZEB
Schedule a meeting. Together, we'll review your data, your open questions, and where we can make the most progress.
Schedule a callNo obligations, initial insights within a week, Belgian team.