Customer 360 & cohorts
Explore customer trends, product groups, purchase rhythm, collection history, retention cohorts and reactivation opportunities from one analytical perspective.
Understand the customer beyond the last order.
Discover who returns, what changes in their behavior and where a stronger relationship could begin.
Bring purchase history, contact records, service interactions and campaign context together. Explore customer cohorts, repeat-order timing, category penetration and changing engagement. Compare similar customer groups to identify unmet needs and relevant cross-selling opportunities. Where the data supports it, estimate future value or likelihood of return, keeping the assumptions separate from observed facts. Give the account team a clear reason for the next conversation.
Capabilities
Find the value hiding in your data.
Basket patterns & cross-selling
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Seasonality & early signals
Review monthly, weekly and daily demand patterns, recent declines and sales portfolios. Compare like periods before interpreting a change.
Segmentation & anomalies
Group customers by behavioral signals and inspect unusual records or discounts. Use the result to prioritize investigation, not to assume causation.
Saved analyses & change tracking
Rerun saved analyses and review recorded changes. Notifications, email delivery and business write actions require separately scoped integrations.
Questions worth asking
01
Which customers are changing their normal purchasing rhythm?
↗02
What do similar clients need that this account has not explored?
↗03
Which relationships generate lasting value rather than a single sale?
↗Continue exploring
Every part of your business has a story to tell.
Turn your data into business knowledge.
Your business already holds valuable answers. Bring its data together and discover what you could measure, understand and improve.
Explore in detail →Understand the work behind the results.
Discover how your teams work, where capacity is stretched and which skills your next projects will need.
Explore in detail →See project risk before it becomes a surprise.
Connect time, cost, delivery and customer context to understand what is really moving a project forward.
Explore in detail →NEOBIQ / NEXT
What is your data trying to tell you?
A hidden opportunity. A recurring cost. A change in customer behavior. Invest in your data and turn the question that matters into an investigation you can act on.
Discuss your project ↗Email opens in your mail application. No message is sent automatically.NEOBIQ
Before we begin
How do we turn data into business value?+
Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.
Can we explore data we do not analyse today?+
Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.