Your screens are initially populated with the eRFM parameters recommended for you by Emarsys after the data profiling stage. The eRFM model categorizes contacts by four aspects of their behavior and allows Smart Insight to decide whether an individual is, for example, a cold lead, active buyer or defecting gold customer. 

The categorization is done by matching the contact’s behavior to the parameters defined during setup, and is based on the analysis provided by the RFM Advisor.

If you feel that these parameters do not accurately reflect your customer base, we will modify them with you until they do. For example, you might prefer a cut-off point for Recency to be 45 days instead of 90, or for Monetary to be €5,000 instead of €1,000, etc.

The Monetary score is calculated by summing purchases over a defined time period. By default, the monetary interval is two years, but can be configured to any length of time you require.

Our objective is to get you sending targeted engagement campaigns as quickly as possible, so it is important not to spend too much time trying to create the perfect segment at this stage. You will learn a lot about your customers’ habits once you start engaging with them individually and will always be able to optimize your strategy as you go.

Here you decide which terms to use in your reports, for example Small spender instead of Low spender. Whichever terms you use, they should correspond to the contact descriptions below.

Smart Insight has two categories of contacts:

• Leads - Contacts that have never made a purchase. For these contacts, only the date of registration and engagement are analyzed.

Please note that new contacts who buy on the day of registration are immediately counted as first-time buyers.

• Customers - Contacts that have made a purchase.

Within these two categories the lifecycle stages are identified based on activity, and can be broken down as follows:

Leads

• New Lead - Registration was within the last 90 days, no response yet (beyond opt-in).
• Active Lead - At least one response in the last 90 days.
• Cold Lead - No response for more than 90 days.
• Inactive Lead - No response for more than 180 days.

Customers

• First-time buyer - Made only one purchase, and it was made in the last 90 days.
• Active buyer - Made more than one purchase. The last purchase was made in the last 90 days.
• Defecting buyer - Has purchased before, and the last purchase was made more than 90, but less than or equal to 365 days ago.
• Inactive buyer - Has purchased before, but has not made a purchase for more than 365 days.

Buyer Status

The Buyer Status categorizes customers based on their spending levels using the last two years’ worth of historical data (two years is the default setting and can be changed). The actual amounts for each threshold are defined during Smart Insight Setup. For more information, see Modifying your Smart Insight settings. For example:

• Low spender - Up to €50.
• Normal - €50.01 up to €200.
• Silver - €200.01 up to €500.
• Gold - €500.01 up to €1000.
• Platinum - More than €1,000.

Conversion Rates

The calculation of conversion rates is quite complex and it can be different for all statuses. Conversion occurs when a contact progresses to a ‘higher’ (i.e. more valuable) stage through their activity. Unidentified contacts are also included in the calculation, as well. The conversion rate equals the number of conversions per all contacts in their status. Conversion rates are calculated at the end of each day.

Conversion rates are defined as follows:

• Lead conversion rate - The percentage of contacts who registered in the last 180 days and have since converted to first-time buyers by making their first purchase. New customers who register and make their first purchase on the same day are treated as direct first-time buyers and will not be counted here.
• Re-purchase rate - The percentage of contacts who converted to first-time buyers in the last 90 days and have since become active by making a second purchase.
• Retention rate - The percentage of active customers who made a purchase exactly 90 days ago and have since made another purchase.
• Win-back rate (defecting customers) - The percentage of customers who defected in the last 90 days and have since become active again by making a new purchase.
• Win-back rate (inactive customers) - The percentage of customers who became inactive in the last 275 days and have since become active again by making a new purchase.

You can now begin to monitor your screens and fine-tune your segments by adding different attributes. Smart Insight is deployed with a standard set of filters per reporting screen, which you can add or remove. You can also add up to 10 custom filters based on your own database fields, for more flexible and accurate segmentation. These custom filters come from the data tables you are loading:

• Any field in the contacts table can be used as a contact attribute.
• Any field in the product catalog or the sales_items table can be used as a purchase attribute.

For more information on filtering your screens, see: Smart Insight Attributes.