Resonate Data Append FAQs

What is the difference between Direct and Indirect Data Append?

There are two methods for sending your data to Resonate for Data Append: Direct or Indirect. The method you choose depends on the data you have available.

If you have hashed emails (MD5, SHA-1, or SHA-256) or MAIDs, you can send your data directly to Resonate via Snowflake (preferred) or Box.com. If you have other IDs such as name and postal address, IP address, or telephone number, you will send your data indirectly to Resonate via our partner, Throtle.

What IDs are accepted with Direct Data Append?

Resonate accepts HEMs and MAIDs for Direct Data Append:

• HEMs
  • MD5 (preferred) 
  • SHA-1 
  • SHA-256
• MAIDs

Which ID types are recommended for Direct Data Append?

Our preferred priority order of ID types are HEMs, then MAIDs. 

When sending HEMs, we recommend MD5 due to the persistence of the IDs as the longest and most continuously available ID.

How long does the Data Append process take once a sales agreement is signed?

With Direct Data Append, you will receive your file outputs 10-14 business days after confirmation of successful data upload.

What is the recommended refresh frequency?

We recommend re-matching your entire customer file every quarter.  You want to be sure to match new customer records as they come in, and since we release new research waves several times a year, we want to ensure that you have the most recent and fresh attributes against your current customer records.   

What are the expected match rates?

Expected match rates vary depending on the quality of data provided. When appending HEMs or MAIDs directly with Resonate, estimated match rates range from 40-60%.

Is there a minimum number of records that I can match against? 

Yes - you'll need to have at least 100,000 records in your customer file.  

Why are only a subset of Resonate's 14k attributes available via Data Append?

Resonate's Ignite Platform has governance features to prevent any audiences or insights that don't meet Resonate’s statistical significance thresholds from being displayed within the platform. These controls are highly dynamic given the platform’s incredible flexibility for analyzing data.

To ensure that similar controls are achievable as Resonate Elements are appended to your data, we've explicitly chosen to include select attributes in data append that best setup analyses based on data append for success. 

Why do some questions where I expect a single answer provide me with multiple values? Ex. Race/Ethnicity.

It is very common to see multiple answers for multiselect questions. Ex -  The Race/Ethnicity question is a multi-select question to accommodate individuals who are multi-racial. Other examples include sources of income and product selection considerations. People could be self employed, free lancing and work part time. People can also consider more than one selection criteria when making their decisions. All these options can be multiselected. The data is modeled. The model is going to give such predictions where the model thinks multiple races, multiple sources of income, or selection considerations are applicable for a certain ID.