Customer Analysis


Make Use Of The Data You Already Have

Combine and organize your unstructured customer data to gain actionable sales, marketing and brand engagement insights.

Metrics & Benchmarks

Identify, track and measure data points that offer the most value in accomplishing your goals.

Profiles & Personas

Realize the full potential of what you already know by allowing existing customer feedback data to guide personalized content development.

Journey Mapping

Every brand engagement touchpoint is producing a stream of data regarding your customer's path-to-purchase; don't let this go underutilized.

Behavioral Patterns

Targeted offers improve conversion percentages, so consider customer purchases from yesterday when crafting promotional offers for tomorrow.

Is A Customer Analysis Project Right For You?


Organize the Unstructured

Combine the Disconnected

Identify the Overlooked

Revitalize the Unused

Analyze the Renewed

Apply the Discovered

Metrics & Benchmarks

Every brand has questions about its customers, and chances are those questions can be answered by leveraging consumer insights that already exist within its data inventory. Unfortunately, those answers are usually hidden within disorganized data files or buried under metrics that offer no immediate application.

By organizing and analyzing the existing customer data, your brand will gain a clear picture what is quantifiably known at any given point in time. This process will also itemize the types of data being held and it will establish benchmarks for future comparative analytics. Identifying the metrics that are most beneficial to current goals and objectives will produce the actionable insights needed to guide decision making.

Profiles & Personas

Developing personalized customer experiences and targeted marketing messages are no longer competitive advantages, they are expectations of the modern consumer. In order to maintain relevance as market demands continue to evolve, your brand must have a clear understanding of the individuals within your target consumer groups; reaching well beyond the transaction.

While this will be an ongoing challenge requiring ongoing efforts, it’s wise to establish a solid foundation on which future initiatives can be built. Looking closely at existing customer data will reveal a framework profile of your customers, thereby identifying missing pieces of the puzzle and providing direction for future initiatives.

Journey Mapping

The number of devices, platforms and channels a modern consumer floats between can change from day-to-day. Successful brands have a firm grasp on how to effectively engage their customers across all these touchpoints to offer seamless and consistent brand experiences. Since the ultimate goal is to move customers along the sales cycle, a cohesive strategy must consider all possible paths-to-purchase and ensure they are working together.

An important first step in this process is itemizing and organizing all the ways a consumer might interact with your brand. Whether online or in-person, all current communication and engagement touchpoints should be accounted for and examined to assess their effectiveness. Once these touchpoints are identified, a Customer Journey Map with benchmark performance levels will offer a guide for strengthening your customer experiences.

Behavioral Patterns

Whether first-time shoppers or loyal customers, brand advocates or brand defectors, the actions of each consumer group is already producing meaningful data offering a variety of business applications. So while there’s undoubtedly great value in collecting consumer behavior data, the modern dilemma is that new technologies can lead to an overload of data which is counterproductive from an analytic standpoint.

To ensure your brand is making the most of all its consumer behavior data, starting with a detailed analysis of existing data will make sense of where things stand today. This will create a starting point so that strategic filters can be implemented to make the best use of new data as it pours in. A clear understanding of consumer behavioral patterns in real-time will support accurate and agile business decisions.

JennyCustomer Analysis