Every Business Tends To Ask

Customer Segmentation

Segmentation is a valuable tool to help a business move from a product focus to a customer focus. Different customers have different needs and wants. We help your company identify groups of customers with common needs and wants to very effectively divide your customer base management programs into different categories. This enables your company to proactively target the right customer at the right time with the right message.

Using techniques based on statistical clustering and business rules established in collaboration with your team, we create custom segmentation strategies that are relevant to your specific business models and business objectives.

Mobile and Web Applications

The most successful Apps are those that involve machine learning based prediction and personalization. This approach improves chances of presenting ads the client is likely to click. It can also encourage upgrading from free apps to paid platforms.

We build machine learning engines along with APIs that enable your web or app developers to integrate sophisticated intelligence into the front-end user experience. Mobile devices have limited real estate on their screens – by anticipating their most likely next need from your app you are able to deliver a superior user experience.

Churn Modelling

It’s common business knowledge that it’s more cost effective to keep your existing customers than to find new ones. Retention efforts can include direct marketing programs to your customers and/or offering them special discounts. Including every customer in these programs can be cost prohibitive.

Predictive churn models enable your organization to algorithmically identify the portion of your customer base that is at the highest risk of leaving you as a customer. This allows your Marketing team to proactively run retention campaigns.

Banks and Telecommunications companies have been doing this for many years now, having large teams dedicated to this work. We can bring the same intelligence to your business and demonstrate significant ROI with on-demand, scalable, expert resources at your disposal.

Data Mining

The greatest challenge in dealing with large volumes of data is understanding what the data has to say. By blending principles of machine learning, statistics, and database systems, big data becomes a valuable resource.

Our team uses cutting edge methodologies to “boil-down” your data to information that makes sense and informs real-time business decisions: For example:

• Acquisition – likelihood to buy, attribution analysis by media channel, web analytics, etc.
• Product – segmentation, pricing behavior, demand forecasting.
• Store Analysis – store placement, in-store shopper behavior, store traffic analysis.
• Retention – upsell, cross-sell, likelihood to churn/leave.

Adobe Analytics / Omniture

Digital Analytics is another area of strength within our talented team. If you are considering Adobe Analytics, we can customize your Omniture implementation to most effectively provide answers to your key digital questions, enabling you to optimize your website for business success.

In depth analysis of your web-driven data enables a very accurate mapping of customer behavior on your website. We are highly experienced in using raw Adobe / Omniture data in Hadoop to create rich data mining datasets that can help predict key customer behaviors. This information allows you to evolve your website to better target customers, keep them on your site, and stimulate desired outcomes such as registration or purchase.

Recommender Systems

These systems use content-similarity or collaborative filtering to predict a user’s affinity for a specific product or service. Using advanced algorithms, recommender systems allow your company to determine and present the products or services your target market is likely to buy.