DATA & ANALYTICS

Data Science and Analysis

Supercharge your marketing with predictive analytics

Can you anticipate your customer's behavior? Predictive analytics is like a crystal ball for your marketing team.

Imagine knowing exactly how much effort your sales team should exert on specific clients or the perfect way to personalize a customer journey based on existing customer relationship management (CRM) information. Our customer journey dashboards make it easy for team members to find actionable insights that balance revenue potential and acquisition cost. Concord’s data science team uses a variety of advanced statistical and machine learning methods to answer your most important business questions.

HOW WE DO IT

What's Involved

01

Predictive Analytics and Statistical Analysis

We use data, statistical algorithms, and machine learning (ML) to help you make smarter business decisions and target high-value digital marketing efforts. Predictive and statistical analysis puts you ahead of your competition by anticipating customer behaviors and actions. Now you can preempt questions and build better user experience as you lead customers to find the best product and service fit.

02

Propensity Modeling

We employ a variety of machine learning and data science techniques and help you choose the approach with the best fit and predictive accuracy for your situation. With propensity modeling, you can predict the likelihood of a visitor, lead, or current customer performing a certain action on your website. These insights help you anticipate customer behavior and create a user experience that leads them further along the sales funnel.

03

Forecasting

We identify any challenges your customers need help overcoming based on reliable, statistical analytics. We work with you to strategize future initiatives that meet your user’s need and lead them to convert. We can help you with scenario planning by predicting what potential changes in your marketing mix may do to your traffic or conversion forecasts. Our team of statisticians, data scientists, and business analysts are building predictive analytical models to answer all these questions and more on behalf of our clients.

04

Market Basket Analysis

We help with product affinity analysis which tells you which product to suggestively sell based on a customer’s current or prior basket. Understanding market basket behavior gives you an advantage in creating cross-sells, upsells, and product list view pages. Market basket analysis can help you determine the best revenue-generating strategy for your business line and customer segments.

05

Data Mining for Hidden Insights

We help with data mining to uncover valuable insights and identify patterns within your data to predict future customer behavior. Understanding these correlations and anomalies can help you increase revenue, cut costs, reduce risks, and improve the customer experience.

06

Machine Learning and AI Investments for Greater ROI

Gain powerful insights into your customers with machine learning through artificial intelligence (AI). AI requires a robust data architecture, clean data to ingest (and a lot of it), automation processes, and time to test. You don’t have to repeat the mistakes of tech giants like Microsoft and IBM. Our team of data scientists and data engineers collaborate to create the right AI roadmap—from infrastructure setup to testing into success.

07

Data Science Model Management

If your data science program relies on one talented unicorn, it isn’t scalable or efficient. At Concord, we pilot model management with our own team and work with clients to automate daily predictive analytics models to fuel marketing platforms. We share our data science model management learnings with your team to ensure anybody in your organization can run any code from any machine. No more “runs on my machine” excuses or single-point-of-failure dependencies.

"Data is the key to informed decision-making, and digital analytics plays a pivotal role in unlocking those insights and driving success. Integrating personalization into your experimentation plan can be a powerful way to refine and optimize your customer experience."
HANNAH ALEXANDER, ASSOCIATE DIRECTOR OF DECISION SCIENCE

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