Customer Insights
Your customers are telling you something.
We help you hear it.
Every transaction, every click, every return tells a story. Most companies are sitting on a goldmine of customer data but lack the tools to extract real insight from it. We help you close that gap.
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The Data Is There. The Insight Isn't.
You're collecting more customer data than ever. But turning that data into decisions that actually grow the business? That's where it gets hard.
You Know Who Buys, Not Why
Transaction data tells you what sold. Understanding why customers choose you, what drives loyalty, and where you're losing them requires connecting dots across multiple data sources.
Pricing Feels Like Guesswork
You're leaving money on the table or losing customers, but you're not sure which. Understanding price sensitivity, competitive dynamics, and willingness to pay requires more than intuition.
Forecasting Is Reactive
Demand planning based on last year's numbers isn't enough. You need models that account for seasonality, promotions, market shifts, and customer behavior changes.
How We Help
We start by understanding your business, your customers, and the decisions you're trying to make. Then we build the analytics and models that make those decisions easier.
Customer Segmentation & Behavior
Not all customers are the same, and treating them that way leaves value on the table. We build segmentation models that group customers by behavior, value, and preferences, so you can tailor your approach to your most valuable customers.
- •Behavioral clustering and customer lifetime value
- •Purchase pattern and basket analysis
- •Churn prediction and retention modeling
Price Optimization
Pricing is one of the highest-leverage decisions in business. We build models that analyze demand elasticity, competitive positioning, and customer willingness to pay, helping you find the prices that maximize revenue without sacrificing volume.
- •Price elasticity and sensitivity analysis
- •Competitive pricing intelligence
- •Promotion effectiveness and cannibalization modeling
Demand Forecasting
Plan with confidence, not just history. We build forecasting models that incorporate seasonality, promotional lifts, market trends, and external signals to give you accurate, actionable demand predictions.
- •SKU-level and category-level forecasting
- •Promotional lift and cannibalization modeling
- •Inventory optimization and replenishment signals
Measurement & Experimentation
Know what's actually working. We design rigorous test-vs-control frameworks and causal inference models that tell you whether your initiatives are driving results, or just coinciding with them.
- •A/B testing design and analysis
- •Causal inference and incrementality measurement
- •Test-vs-control frameworks for promotions, pricing, and campaigns
Why We Know This Space
Our team has years of experience building sciences and deriving insights on national retail data.
Before starting Ascent, our founders spent years at the data science arm of one of the largest retailers in the country. We worked on price optimization, customer segmentation, demand forecasting, and personalization at a massive scale.
That experience taught us something important: the techniques that work at scale also work for mid-size companies. The difference is that mid-size businesses often don't have the in-house infrastructure and data expertise. Every important business decision can be informed by concrete data with the right structure in place.
That's exactly what we do. We bring enterprise-level customer analytics expertise to companies that are ready to move beyond gut feel and spreadsheets, but don't need a team of 50 data scientists to get there.
We Work With Your Data
Customer insights come from connecting data across systems. We integrate with what you have and build a unified view of your customers.
POS & Transaction
Sales data, baskets, and purchase history
CRM & Loyalty
Customer profiles and engagement data
E-Commerce
Shopify, BigCommerce, custom platforms
Marketing Platforms
Email, paid media, and campaign data
ERP & Inventory
Product, supply, and cost data
Syndicated Data
Nielsen, IRI, and market panel data
Web Analytics
Google Analytics, Mixpanel, Amplitude
Custom & Legacy
Proprietary systems and databases
How We Work
We start with the business question, not the data
What decisions are you trying to make? What's driving revenue, and what's costing you? We get clear on the outcomes you need before we touch a dataset.
We build models you can act on
A segmentation model that sits in a slide deck doesn't help anyone. We build analytics that plug into your workflow, dashboards your team actually uses, and models that drive real decisions.
We make sure your team can run with it
We don't just hand over a report. We make sure your team understands the models, trusts the outputs, and knows how to apply the insights. When we're done, you're not dependent on us.
Ready to understand your customers better?
Let's talk about the customer questions you're trying to answer and how data can help.
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