Determine duplicate data
Posted: Mon Dec 23, 2024 9:25 am
With normalized data, it's much easier to find and merge duplicate customer records. Duplicated customer records impact your customers' experiences at every point in their journey - including all interactions with marketing, sales and support, both pre- and post-purchase. With duplicate records, companies can never be sure they're working with complete information when referring to a single record.
In marketing, duplicate records can result in thailand code number your prospects receiving the same marketing material multiple times. In sales, having a single customer's data spread across two records means your sales reps can connect with prospects but lack the relevant information.
2. Improved marketing segmentation
How can you effectively segment and categorize customers and prospects to send them personalized messages when you don't have confidence in the data you're using to do so?
Imagine you are a B2B company. You want to segment your prospects based on their job title. That makes sense, right? You don't want to pitch your solution to a CEO the same way you would to a CFO.
They have different needs and concerns and that should be reflected in your messaging.
Without a normalized database, many prospects that should fall into the same bucket may not because their job titles are so far apart. For the CEO segment, different segments can be shown based on their non-standardized data, e.g.
In marketing, duplicate records can result in thailand code number your prospects receiving the same marketing material multiple times. In sales, having a single customer's data spread across two records means your sales reps can connect with prospects but lack the relevant information.
2. Improved marketing segmentation
How can you effectively segment and categorize customers and prospects to send them personalized messages when you don't have confidence in the data you're using to do so?
Imagine you are a B2B company. You want to segment your prospects based on their job title. That makes sense, right? You don't want to pitch your solution to a CEO the same way you would to a CFO.
They have different needs and concerns and that should be reflected in your messaging.
Without a normalized database, many prospects that should fall into the same bucket may not because their job titles are so far apart. For the CEO segment, different segments can be shown based on their non-standardized data, e.g.