What IDs are accepted with Data Append?
Resonate accepts the following IDs for Data Append:
- HEMs
- MD5 (preferred)
- SHA-1
- SHA-256
- MAIDs
- Postal Address
- ZIP11
Which ID types are recommended for Data Append?
For the best match rate (70-90% match rate) with precise predictions on MOST records, we recommend providing HEMs and Postal Address.
For the best match rate (70-90% match rate) with predictions on the most relevant HEM in household, we recommend providing Postal Address or ZIP11.
For precise predictions ONLY (40-60% match rate), we recommend providing HEMs or MAIDs on the entire file. 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?
For an input file with HEMs or MAIDs only, you will receive your file outputs 10-14 business days after confirmation of successful data upload. If your file includes Postal Address or ZIP11, you will receive your outputs within 14-17 business days.
What is the recommended refresh frequency?
You are allowed to refresh the entire file once a month as long as records in the file do not exceed the records purchased. Our recommendation is refreshing once a quarter.
What are the expected match rates?
Expected match rates vary depending on the quality of data provided.
For the best match rate (70-90% match rate) with precise predictions on MOST records, we recommend providing HEMs and Postal Address.
For the best match rate (70-90% match rate) with predictions on the most relevant HEM in household, we recommend providing Postal Address or ZIP11.
For precise predictions ONLY (40-60% match rate), we recommend providing HEMs or MAIDs on the entire file.
Is there a minimum number of records that I can match against?
Yes - you'll need to have at least 20,000 records in your customer file. Incremental files could be smaller.
Why are only a subset of Resonate's 15k 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.
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