Privacy & Cookies
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Privacy & Cookies
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In order to fulfill our contractual obligations, we set certain cookies and collect data.
Cookies
We set the following first-party cookies.
Cookie Name | When it's set | Why we use it |
|---|---|---|
drsp | All visitors | Keeps track of the pages you are visiting and activity on the retailer's site. This information is used to present personalized recommendations and outfits. |
_drsp_id | All visitors | Keeps track of the pages you are visiting and activity on the retailer's site. This information is used to present personalized recommendations and outfits. |
dressipi_jwt | All visitors | Keeps track of the pages you are visiting and activity on the retailer's site. This information is used to present personalized recommendations and outfits. |
_pantheon2-dressipi_session | All visitors | Stores temporary data such as error messages related to Mapp Fashion services |
remember_user_token | All visitors | Keeps track of the pages you are visiting and activity on the retailer's site. This information is used to present personalized recommendations and outfits. |
dressipi_status | Only set for retailers who have integrated the Personal Style Quiz. | Saves the Mapp Fashion Personal Style Quiz competition status (not started, started, complete). |
last_login | Only set for retailers who have integrated the Personal Style Quiz. | Saves the time of the last login to Mapp Fashion's Personal Style Edit |
dressipi_dnt | If set, you have opted out of all Mapp Fashion tracking |
3rd party cookies blocked by default
Mapp Fashion does not set or read any third-party cookies.
Lifetime of cookies set client-side limited to 7 days
Mapp Fashion’s tracking does not use document.cookie to read/write cookies. The core Mapp Fashion cookie is always set server side (ie through the Set-Cookie header) and is marked as Secure and httpOnly.
CNAME cloaked cookies
Mapp Fashion uses A-records, which are not affected by the CNAME-related changes in iOS 14 / Big Sur.
Identity Management
Mapp Fashion maintains its concept of user identity through the cookies set by its tracking requests. These identities are anonymous unless a user is tracked completing a purchase (if order confirmation tracking is present) or the user is identified through the identify Dressipi.js call.
Relationship with Retailer User Identity
Initially there is no relationship between retailer user identities and Mapp Fashion user identities. When order confirmation tracking is in place, this is used to map Mapp Fashion user identities to the identities in the transaction data files. This is possible because the order confirmation tracking (like all Mapp Fashion tracking) is associated with the Mapp Fashion cookie, but is also associated (via the order id) with the data in the transaction data files.
There may be multiple Mapp Fashion users mapped to the same retailer user (for example one tracked on mobile and one on desktop), in this case activity data from all of the users is pooled when calculated recommendations.
If the transaction data contains the purchaser's email address (or a SHA256 hash of the email address), we will also match Mapp Fashion users to retailer users bailed on the email address.
Applicability to Mapp Fashion Components Widgets
Widgets use the same cookies set by tracking to identify users.
Client-side APIs
Client-side APIs use the same cookies set by tracking to identify users.
Serverside APIs
The tracking javascript sets a cookie readable by the retailer's servers containing an access token corresponding to the current Mapp Fashion user.
Impact on Recommendations
The type and quality of recommendations you receive depend on the data available:
No Mapp Fashion identity
You receive AI-optimised recommendations based on global trends.
Mapp Fashion identity with product views
Recommendations are tailored based on viewed products and their attributes.
Mapp Fashion identity with purchase data
Recommendations are further refined using purchased products and their attributes.
Completed personal profile
Profile preferences also influence your recommendations.
Personalization starts within seconds of your first product view.
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