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Genesys Cloud follows the E.164 specification for phone numbers used within the system. When you bulk import external contacts and external organizations through a .csv file, the input phone numbers in your .csv file must follow the E.164 standard. This article describes how to format the phone numbers before you import them into Genesys Cloud.
The bulk import feature and enrich APIs recognizes the following phone number formats and processes them internally to suit the identity resolution algorithm for contact matching:
The bulk import feature and enrich APIs recognizes and processes the following country code formats supplied in the Phone Number column in the .csv template:
HU: 06
Generally, the bulk import feature does not process non-compliant E.164 phone numbers and displays appropriate warnings and error messages.
Non-E.164 formats may have:
These example scenarios describe phone number-related errors and warning messages.
In this scenario, the phone number follows E.164 formatting but does not match the North American format. The bulk import feature applies the North American formatting by inserting required dashes.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
| +13216549870 | +1 321-654-9870 | |||
| +1 3216549871 | +1 321-654-9871 |
In this scenario, the phone number follows E.164 formatting but does not match the UK format. The bulk import feature adjusts formatting by removing dashes, and adding required spaces.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
| +44 1213315014 | +44 121 331 5014 | |||
| +44 121-231-5416 | +44 121 231 5416 |
In this scenario, the phone number is not E.164 compliant due to extra digits or characters in the input, and no normalization country code is specified. If you proceed with the import, the bulk import feature stores the number as-is in the system and a warning message appears at the end of the import process.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
| (+44)121 231 54023 | (+44)121 231 54023 | contact.cellPhone[(+44)121 231 54023]{Your phone number is not compatible with E164 standard}; contact.cellPhone.normalizationCountryCode[null]{You have to provide a normalization country code} | ||
| (44)1213315082 | (44)1213315082 | contact.cellPhone[(44)1213315082]{Your phone number is not compatible with E164 standard}; contact.cellPhone.normalizationCountryCode[null]{You have to provide a normalization country code} | ||
| (44) 121.331.5290 | (44) 121.331.5290 | contact.cellPhone[(44) 121.331.5290]{Your phone number is not compatible with E164 standard}; contact.cellPhone.normalizationCountryCode[null]{You have to provide a normalization country code} |
In this scenario, the phone number is not E.164 compliant due to a missing country code in the input or normalization field. If you proceed with the import, the bulk import feature adds the US country code by default.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
| 321.654.9881 | +1 321-654-9881 | contact.cellPhone[321.654.9881]{Your phone number is not compatible with E164 standard}; contact.cellPhone.normalizationCountryCode[null]{You have to provide a normalization country code} | ||
321 654 9879 | +1 321-654-9879 | contact.cellPhone[321 654 9879]{Your phone number is not compatible with E164 standard}; contact.cellPhone.normalizationCountryCode[null]{You have to provide a normalization country code} |
In this scenario, the phone number is in E.164 format and the input phone number does not have a country code, however, the import file has the normalization country code in the normalization field. No warnings are generated, and the bulk import feature applies additional regional formatting as needed.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
3216549891 | US | +1 321-654-9891 | US | |
(44)1213315095 | GB | +44 121 331 5095 | GB |
In this scenario, the phone number is in E.164 format and the normalization country code is correctly specified in both the input number and the normalization field. No warnings are generated, and the bulk import feature applies additional regional formatting as needed.
| Input phone number in .csv | Normalization country code in the .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
(+1)321.654.9838 | US | +1 321-654-9838 | US | |
+441213315039 | GB | +44 121 331 5039 | GB |
In this scenario, the phone number is in E.164 format, but the input number and the normalization field have two different normalization country codes. A warning message indicates that the bulk import feature uses only the country code from the input phone number and ignores the normalization field value.
| Input phone number in .csv | Normalization country code in .csv | Phone number stored in Genesys Cloud | Phone normalization country code stored in Genesys Cloud | Warning message |
|---|---|---|---|---|
+13216549852 | GB | +1 321-654-9852 | GB | contact.cellPhone.normalizationCountryCode[GB]{Your phone number is from the US, but your country code is from GB. We are resolving your phone number with a US country code.} |
(+44)1213315074 | US | +44 121 331 5074 | US | contact.cellPhone.normalizationCountryCode[US]{Your phone number is from the GB, but your country code is from US. We are resolving your phone number with a GB country code.} |
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