Data Source - CRM

Learn how we process your CRM data

Lexer’s Customer Data Platform ingests data from a variety of sources and one of the most common is Customer Relationship Management (CRM) data. Sending Lexer this data allows you to understand the demography of your customers and prospects, their location, and contact information as well as combine it with your other data for an enriched single-customer-view.

Integrate your account

First we need to connect your account, which will give us permission to retrieve customer profiles from your CRM platform.

What we do with the data

Once you’ve connected your account, Lexer is able to retrieve your customer and product information to create a set of attributes that you can later query and compare in Lexer.

This is what we do with your data to achieve this:

Auto-validation

We pull the data as a file and check its format, as well as the records in the file, to make sure they can be imported into Lexer.

Validation

We look at the data to make sure it’s what we expect it to be.

Enrichment

We transform your data from its current format into a set of value-add attributes.

Unification

We unify your transaction data to other in your account, as well as third-party data sets.

Import

We take the validated, enriched, and unified data, and import it into the Lexer product.

What we build

Once we’ve retrieved your data, we will build a set of attributes you can query in Lexer. We either import it without transformation, or we change it so you can get more value from it. Here is a list of the attributes we can build with this data.

Standard attributes

Lexer cleans and transforms your data into straightforward representations of the raw data, making it easy for your team to search, analyze, and activate.

Attribute Code

Description

Value

Customer ID

Your internal customer ID

A customer ID allows you to unify your data across different files and sources.

Email

Customer’s email address

Email allows us to expand your data universe to third parties.

First name

Customer’s first name

Names can be used to improve 1:1 communication across sales and service channels.

Last name

Customer’s last name

 

Date of birth

Customer’s date of birth

Birth dates allow you to understand a customer’s age as well as anticipate behaviors around their birthday.

Birth year

Customer’s year of birth

 

Address 1

Customer’s street address

Know where your customers live so you can improve delivery and other in-person service inquiries.

Address 2

Customer’s street address

 

Suburb/City

Customer’s suburb/city

Suburbs allow you understand customers at a demographic level as well as providing insight around geographic distribution.

Postcode/ZIP

Customer’s postal code

Demographic data sources use postal and zip codes, so this data enables the understanding of behaviors and traits of people living in the area.

State

Customer’s state

States allow you to understand customers at a demographic level as well as providing insight around geographic distribution.

Country

Customer’s country

A customer’s country helps you personalize language, understand seasonal trends, and build regional strategies.

Mobile/Cell

Customer’s phone number

A phone number can be unified to other sources as well as deliver phone-based service interactions.

Gender

Customer’s gender

A customer’s gender is often useful for basic segmentation, especially when your products are gender specific.

Value-add attributes

Lexer takes all the data you have provided and enriches it, often combining multiple data points to make them more useful than they are on their own.

Attribute Code

Description

Value

Record

Has some sort of relationship with your company

This is used within the product to run a quick search, highlighting your customer, and prospect universe.

Age

Customer’s age

Capture the customer’s age at a glance to improve segmentation and service interactions.

Email sha256

Customer’s hashed email address (sha256)

Hashed email addresses can be used to target customers on several online channels without sacrificing the customer’s privacy.

Lives in Country

Customer’s address is within nominated countries - e.g. Lives in Australia, Lives in USA, Lives in England

A simple flag to highlight the customer’s country.

Closest Store

Customer’s closest store

If you’re going to direct a customer to a store, we want to make it as convenient as possible.

Geo-location

The Geo-point on a map

See where one, some, or all of your customers are on a map to better understand where they are.

Inferred Gender

Lexer’s modeled gender, scored against the probability that their first name would be given to a male or a female

If you don’t capture a customer’s gender, we can help you predict what it is.

Generation

The customer’s generation: Baby Boomer’s are born after 1946, Gen X after 1965, Xennial born after 1977, Millennial born after 1984, Gen Z born after 1997

A customer’s generation can be used in basic segmentation rather than splitting out customers by explicit ages.

How we unify customer records

Customer ID

This field is typically used to match to your other data sources, such as Transactional, and Email Engagement platforms. If this ID is used across your business, it will be the field that links across all systems.

Email address

This field is used to unify your data to Twitter, enable activation on various sales channels, and can be used to unify your data to certain second and third party sources.

Phone number

This field is used to unify on other data sets, such as Experian. Lexer transforms your mobile numbers to make sure they’re in a consistent format, ensuring the highest possible unification rates.

Limitations

The volume of data being sent from each platform’s respective API will affect the time it takes to extract it. If we're trying to extract a large amount of data, it’s worth noting this could take days and has the potential to fail. This is based on each platform’s ability to send across the data Lexer is asking for, within a reasonable time, and without becoming overwhelmed.

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