One of the questions we get asked the most is, “What’s the difference between Cloudingo and DupeCatcher, and why do I need to use both applications to cleanup my Salesforce data?” The confusion is understandable because both applications do a great job managing duplicate records, but in different ways and on different levels.
We put together a comparison sheet that answers most of your Cloudingo verse DupeCatcher questions (download it here). Additionally we’ll use a simplified example to illustrate the differences.
Scenario: A retailer who mails expensive, glossy-color catalogs can save money by not sending multiple copies to the same person, who perhaps changed their name at marriage or who changed their address.
Let’s say you’re a home décor retailer and also a DupeCatcher and Cloudingo user because you’re awesome. When Jessica White visits your store for the first time, she buys a pair of crystal champagne glasses for her upcoming wedding. She’s happy to sign up for your weekly email blast offering discounts, so you get Jessica’s name and email. Your much-anticipated holiday catalog is a must-have, so Jessica willingly provides her home address as well. You now have Jessica’s name, email, and home address inside your Salesforce database. The next day Jessica realizes that she forgot to buy her soon-to-be-husband the cigar cutter he wanted. She visits your online store, and upon submitting her name and email at checkout, DupeCatcher immediately recognizes that her information is already in your database. DupeCatcher prevents creation of a new record, thus keeping your database nice and clean. Six months go by before Jessica revisits your store. You’re having a drawing for a $100 gift card, so Jessica pulls out her brand new business cards and tosses one into the fishbowl. Later that evening you login to Salesforce and enter the contacts you’ve collected from your bowl.
The holidays are approaching and it’s time to mail your enormous, glossy-color, and expensive holiday catalog. Before you pay for postage, you run a filter in Cloudingo to scan first names against addresses in order to find records that may appear more than once in your database. After all, you don’t want to send duplicate copies of your expensive catalog to the same address.
After running the filter, Cloudingo tells you that an address appears twice in your database – once associated with Jessica White and again tied to Jessica Johnson. Ah, ha! Jessica Johnson is the married version of Jessica White! You merge the records, keeping the most recent (Johnson), and you’re left with a clean database and money saved on double postage.
Hopefully now you have a better understanding of how Cloudingo and DupeCatcher vary and how you can use them to work together. If you’d still like more explanation, feel free to contact us. Don’t forget to download our cheat sheet, too!