Collecting data with Trackers and Webhooks

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Snowplow Tracker Protocol


Snowplow trackers fire events, which are either GET or POST requests of a Snowplow collector, whenever an event on a website or application takes place. By appending events’ parameters and values to the end of those GET requests or adding them into the body of POST messages, trackers can pass data into the collectors, for processing by Snowplow.

The Snowplow Tracker Protocol is the list of all the parameters that Snowplow trackers use when firing events to push data into the Snowplow collectors. Each parameter maps onto one or more fields in the Snowplow events table employed in storage. Here we document which field in the Snowplow events table each raw event parameter maps onto.

Snowplow has been architected to be as easy as possible for developers to create their own alternative subsystems. This documentation should be used by anyone who would like to build their own tracker: by utilising the parameters documented here, the author of a new tracker can be confident that his / her tracker will work with the rest of the Snowplow stack, and be confident where the values associated with each parameter on every call will be available to query in Snowplow, whether that’s in Hive or Infobright or another database.

In the first part of this guide, we cover the parameters in the Snowplow tracker protocol that are common across different event types. In the second part, we document the parameters that are relevant for specific events that are recognised in the Snowplow event model. Please note: this model is evolving over time as we incorporate more events and grow the set of fields associated with each of the standard events. In all cases, we do our best to ensure that any changes are backwards compatible. (So we are happy adding new parameters, but do not remove parameters once they have been incorporated.)

Each parameter of the Snowplow Tracker Protocol is described in the tables below, whose columns are:

  • Parameter: The actual raw event parameter name.
  • Maps to: The column name in Snowplow events table which the parameter maps to.
  • Type: The actual type that the parameter represents.


    When the event is sent from a Snowplow tracker, all parameters should be stringified. Those strings are parsed back to their actual type during Enrichment.

  • Description: A short description for the parameter.
  • Implemented: Whether the parameter is implemented, deprecated or not-implemented.
  • Example values: Examples of valid values for the parameter.

The Snowplow Tracker protocol: individual parameters

Common parameters (platform and event independent)

Application parameters

ParameterMaps toTypeDescriptionImplemented?Example values
tnaname_trackertextThe tracker namespaceYestracker_1
evnevent_vendor (deprecated)textThe company who developed the event modeldeprecatedcom.snowplowanalytics
aidapp_idtextUnique identifier for website / applicationYesangry-birds-android
pplatformtextThe platform the app runs onYeswebmobapp

The tracker namespace parameter is used to distinguish between different trackers. The name can be any string that does not contain a colon or semi-colon character. Tracker namespacing allows you to run multiple trackers, pinging to different collectors.

The event vendor parameter makes it possible to distinguish between events defined by different companies. Note: the event vendor parameter is deprecated.

The application ID parameter is used to distinguish data from different websites and applications.

As a Snowplow user, you can define application IDs for each of your different digital products and track behaviour of your users across all of them using the same Snowplow instance by setting the app_id in your tracker of choice.

Allowed platform values:

Platformp value
Web (including Mobile Web)web
Server-Side Appsrv
General Appapp
Connected TVtv
Games Consolecnsl
Internet of Thingsiot

Date / time parameter

ParameterMaps toTypeDescriptionImplemented?Example values
dtmdvce_created_tstampintTimestamp when event occurred, as recorded by client deviceYes1361553733313
stmdvce_sent_tstampintTimestamp when event was sent by client device to collectorYes1361553733371
ttmtrue_tstampintUser-set exact timestampYes1361553733371
tzos_timezonetextTime zone of client device’s OSYesEurope%2FLondon

It is possible to record the time that an event occurs on the clients-side (i.e. in the tracker), or server side (i.e. by the collector). When using the JavaScript tracker to track web events, it makes sense to rely on the collector logs to identify the time that events occured, as Snowplow tracking tags are fired as events happen, and so the time they are received server-side should be an accurate representation of the time the event being tracked occured. In other situations (e.g. when using mobile trackers), the time the collector receives the data may be sometime after an event occurred, and so it makes sense to record the timestamp on the client-side, in which case this is handled by the tracker.

The ttm field is used for a timestamp set on the client which should be taken as accurate. For example, it should be used when using a tracker to process a batch of existing events with known timestamps independent of the device clock for the tracker.

The tracker can pass a client-side timestamp to the collector using the above parameters.

Event / transaction parameters

ParameterMaps toTypeDescriptionImplemented?Example values
eeventtextEvent typeYes(See table below)
tidtxn_id (deprecated)textTransaction IDdeprecated352583
eidevent_idtextEvent UUIDYes606adff6-9ccc-41f4-8807-db8fdb600df8

Every line of data passed from the tracker should contain an event field (e) to denote the type of event being tracked. For details about the potential values that e can take, and the corresponding event types that they refer to, see the section detailing Snowplow events.

The transaction ID (tid) can be used in situations where there is a risk of duplicate records for the same event. In this case, the transaction ID can be used to aid deduping of records. This field has been deprecated in favour of the event ID.

The event ID (eid) is the unique identifier (UUID) for this row. Historically we generated this in the Enrichment process but where possible we are migrating this to being generated in the trackers.

Snowplow Tracker Version

ParameterMaps toTypeDescriptionImplemented?Example values
tvv_trackertextIdentifier for Snowplow trackerYesjs-2.16.2

For deployments where multiple trackers are used (e.g. for businesses that use the JavaScript tracker to track events on their domains alongside the Pixel tracker to track events on 3rd party domains), it is useful to be able to distinguish data generated from each tracker. It can also be useful when tracker versions are updated, so that it is easier to see if an update in tracker accounts for a feature of the data at analysis time.

User related parameters

ParameterMaps toTypeDescriptionImplemented?Example values
duiddomain_useridtextUnique identifier for a user, based on a first party cookie (so domain specific)Yesaeb1691c5a0ee5a6
nuidnetwork_useridtextUnique identifier for a user, based on a cookie from the collector (so set at a network level and shouldn’t be set by a tracker)Yesecdff4d0-9175-40ac-a8bb-325c49733607
tnuidnetwork_useridtextCan be used be a tracker to overwrite the nuidYesecdff4d0-9175-40ac-a8bb-325c49733607
uiduser_idtextUnique identifier for user, set by the business using
viddomain_sessionidxintIndex of number of visits that this user_id has made to this domain e.g. 1 is first visitYes12
siddomain_sessionidtextUnique identifier (UUID) for this visit of this user_id to this domainYes9c65e7f3-8e8e-470d-b243-910b5b300da0
ipuser_ipaddresstextIP addressYes37.157.33.178

We recommend setting the uid / user_id parameter: as this is the cornerstone of all user-centric analytics and is a valuable data point alonside duid / domain_userid and nuid / network_userid from web tracking.

By setting the vid / visit_id it is possible to define when sessions begin and end client-side, in the tracker. But it is equally possible to define session start and stop times at the ETL or analytics phase, in which case it need not be set in the tracker at all. Note: Google Analytics defines sessions server side.

Setting ip is optional: Snowplow collectors log IP address as standard. However, you can override the value derived from the collector by populating this value in the tracker. This is useful, if traffic is being proxied to a Snowplow collector, for example.

If you are tracking events both server-side and client-side and you want the network_userid to be set in your server-side events, use the tnuid parameter.

Device related properties

ParameterMaps toTypeDescriptionImplemented?Example values
resdvce_screenheight and dvce_screenwidthtextScreen / monitor resolutionYes1280x1024

We intend to build out the list of device related properties over time.

Platform specific parameters

Web-specific parameters

In addition, there is a set of browser-specific parameters that only makes sense to record for events that happen on web platforms (p=web). These parameters are relevant across all web events, regardless of the event type. (E.g. if it is a pageview, pageping, transaction, media play etc…)

ParameterMaps toTypeDescriptionImplemented?Example values
uauseragenttextUseragent (a.k.a. browser string)YesMozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4) AppleWebKit/537.78.2 (KHTML, like Gecko) Version/7.0.6 Safari/537.78.2
pagepage_titletextPage titleYesTarot%20cards
fpuser_fingerprintintegerUser identifier based on (hopefully unique) browser featuresYes4048966212
ctypeconnection_typetextType of connectionNo
cookiebr_cookiesbooleanDoes the browser permit cookies?Yes1
langbr_langtextLanguage the browser is set toYesen-US
f_pdfbr_features or br_features_pdfbooleanAdobe PDF plugin installed?Yes1
f_qtbr_features or br_features_quicktimebooleanQuicktime plugin installed?Yes0
f_realpbr_features or br_features_realplayerbooleanRealplayer plugin installed?Yes0
f_wmabr_features or br_features_windowsmediabooleanWindows media plugin instlaled?Yes0
f_dirbr_featurse or br_features_directorbooleanDirector plugin installed?Yes0
f_flabr_featurse or br_features_flashbooleanFlash plugin installed?Yes1
f_javabr_featurse or br_features_javabooleanJava plugin installed?Yes1
f_gearsbr_featurse or br_features_gearsbooleanGoogle gears installed?Yes1
f_agbr_featurse or br_features_silverlightbooleanSilverlight plugin installed?Yes1
cdbr_colordepthintegerBrowser color depthYes24
dsdoc_width and doc_heighttextWeb page width and heightYes1090x1152
csdoc_charsettextWeb page’s character encodingYesUTF-8
vpbr_viewwidth and br_viewheighttextBrowser viewport width and heightYes1105x390

Internet of Things-specific parameters

In addition, there is a set of device-specific parameters that only makes sense to record for events that happen on the Internet of Things (p=iot). These parameters are relevant across all Internet of Things events, regardless of the event type:

ParameterMaps toTypeDescriptionImplemented?Example values
macmac_addresstextMAC address for the device running the trackerYes12:34:56:78:9A:BC

Snowplow events

At its heart, Snowplow is a platform for granular tracking of events. Currently, Snowplow understands the following events. In the tracker protocol, each event is denoted by an e=... parameter.

Type of trackingEvent type (value of e)
3.1Pageview trackingpv
3.2Page pingspp
3.3Link clickue
3.4Ad impression trackingue
3.5Ecommerce transaction trackingtr and ti
3.6Social trackingTBD
3.7Item viewTBD
3.8Error trackingTBD
3.9Custom structured eventse
3.10Custom unstructured eventue

We are working to make the data model for each of the above events richer, and expand the ‘Snowplow event library’ to support a wider selection of events that businesses running Snowplow wish to track.

In each case, we use the &e parameter to indicate the type of event that is being tracked by Snowplow to the value indicated in the above table

Pageview tracking

Pageview tracking is used to record views of web pages.

Currently, recording a pageview involves recording an event where e=pv. All the fields associated with web events can be tracked. There are no other pageview specific fields:

// Key common parameters duid=aeb1691c5a0ee5a6 // Domain user ID &vid=2 // Domain session index &tid=508780 // Transaction ID &aid=pbzsite // App ID &p=web // Platform ID // Key data points related to page view &e=pv // event = page view & // Page URL &page=Tarot%20cards // Page title & // Referrer URL // Other browser-specific parameters &lang=en-US &fp=3511643688 &f_pdf=1 &f_qt=0 &cd=32 &cookie=1 &tz=Europe%2FLondon e=pv // page view &aid=pbzsite // app_id &p=web // platform &tid=580794 // transaction ID &dtm=1361555202287 // client timestamp &page=Psychic Bazaar // Page Title &url=http=// // Page URL &ds=1120x1848 // Document dimensions &cs=UTF-8 // Document character set &res=1920x976 // Device monitor dimensions &vp=873x390 // Viewport dimensions &duid=91a88a7ec90ebbb1 // Domain user ID &fp=3324966434 // User fingerprint &vid=3 // Domain session ID &tv=js-0.13.1 // Tracker version &lang=en-GB // Browser language &tz=Europe/London // Client time zone
Code language: JavaScript (javascript)

Page pings

Page pings are used to record users engaging with content on a web page after it has originally loaded. It can be used to track e.g. how far down an article a user scrolls.

If enabled, the page ping function checks for engagement with a page after load. (E.g. mousemovement, scrolling etc…) If there is some sort of engagement in a specified time interval, a page ping is sent.

Page pings are identified by e=pp. As well as all the standard web fields, there are four additional fields that pp includes, which are used to identify how users are scrolling over web pages:

ParameterMaps toTypeDescriptionImplemented?Example values
pp_mixpp_xoffset_minintegerMinimum page x offset seen in the last ping periodYes0
pp_maxpp_xoffset_maxintegerMaximum page x offset seen in the last ping periodYes100
pp_miypp_yoffset_minintegerMinimum page y offset seen in the last ping periodYes0
pp_maypp_yoffset_maxintegerMaximum page y offset seen in the last ping periodYes100


e=pp // Page ping // Max and min x and y offsets pp_mix=0 pp_max=7 pp_miy=0 pp_may=746 // Other relevant fields duid=91a88a7ec90ebbb1 // Domain user id vid=1 // Domain session index page=Tarot cards - Psychic Bazaar // Page title refr=http=// // Page referrer url= // Page URL tid=344664 // Transaction ID dtm=1361534887845 // Client timestamp vp=1105x390 // Viewport dimensions ds=1097x1413 // Document dimensions aid=pbzsite // App ID lang=en-GB // Browser language cs=UTF-8 // Docuemnt characterset res=1920x976 // Monitor resolution / size
Code language: JavaScript (javascript)

Link click tracking

Link clicks are treated as unstructured events. The schema for a link click event can be found here.

Ad impression tracking

Deprecation warning: the special ad impression querystring parameters described in this section are deprecated. Instead, ad impressions, ad clicks, and ad conversions are all treated as unstructured events. There schemas are available at the following locations:

Ad impression schema

Ad click schema

Ad conversion schema

As well as setting e=ad, there are four specific parameters that can be set when an ad impression is tracked:

ParameterMaps toTypeDescriptionImplemented?Example values
ad_baadi_banneridtextBanner IDNo126422315640
ad_caadi_campaignidtextCampaign IDNod-546135
ad_adadi_advertiseridtextAdvertiser IDNodiageo
ad_uidadi_useridtextUser (viewer) IDNo0cbffbf8-a9c5-426f-9369-6e53f1677efc

Note: if possible, it often makes sense to pass in the user_id generated by your ad server into the ad_uid field, so that this can be matched with the user_id generated by Snowplow at analysis time.


duid=aeb1691c5a0ee5a6 // Domain user ID &vid=2 // Domain session ID &tid=508780 // Transaction ID &aid=1 // App ID &e=ad // event = ad impression &ad_ba=126422315640 // banner ID &ad_ca=d-546135 // campaign ID &ad_ad=diageo // advertiser ID &ad_uid=0cbffbf8-a9c5-426f-9369-6e53f1677efc // user ID
Code language: JavaScript (javascript)

Ecommerce tracking

To track an ecommerce transaction, fire a transaction event (e=tr) to register the transaction, and then fire item events (e=ti) to log specific data about the items that were part of that transaction. The order_id, (captured using the ti parameter) is used to link the transaction-level and item-level data at analysis time.

Transaction parameters
ParameterMaps toTypeDescriptionImplemented?Example values
tr_idtr_orderidtextOrder IDYes12345
tr_aftr_affiliationtextTransaction affiliation (e.g. channel)YesWeb
tr_tttr_totaldecimalTransaction total valueYes9.99
tr_txtr_taxdecimalTransaction tax value (i.e. amount of VAT included)Yes1.98
tr_shtr_shippingdecimalDelivery cost chargedYes3.00
tr_citr_citytextDelivery address: cityYesLondon
tr_sttr_statetextDelivery address: stateYesDenver
tr_cotr_countrytextDelivery address: countryYesUnited Kingdom
tr_cutr_currencytextTransaction CurrencyYesGBP

Transaction event example:

duid=aeb1691c5a0ee5a6 // Domain user ID &vid=2 // Domain session index &aid=1 // App ID &e=tr // Transacton event type. &tr_id=12345 // Order ID &tr_af=westernWear // Affiliation &tr_tt=19.99 // Transaction total value &tr_tx=4.99 // Transaction tax value &tr_sh=2.99 // Transaction shipping price &tr_ci=london // City on customer address &tr_st=london // State on customer address &tr_co=united kingdom // Country on customer address &tr_cu= GBP // Transaction currency
Code language: JavaScript (javascript)
Transaction item parameters
ParameterMaps toTypeDescriptionImplemented?Example values
ti_idti_orderidtextOrder IDYes12345
ti_skti_skutextItem SKUYes`pbz0025′
ti_nmti_nametextItem nameYesblack-tarot
ti_cati_categorytextItem categoryYestarot
ti_prti_pricedecimalItem priceYes7.99
ti_quti_quantityintegerItem quantityYes2

Item hit example:

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=ti // Transaction item event type &ti_id=12345 // Order ID &ti_sk=pbz0025 // Item SKU &ti_nm=black-tarot // Item name &ti_ca=tarot // Item category &ti_pr=7.99 // Item price &ti_qu=1 // Item quantity &ti_cu=USD // Currency
Code language: JavaScript (javascript)

Social tracking

ParameterMaps toDescriptionImplemented?Example values
sasocial_actionSocial action performedNoliketweet
snsocial_networkSocial network involvedNofacebooktwitter
stsocial_targetSocial action target e.g. object liked, article tweetedNoliketweet
spsocial_pagepathPage path action was performed onNo
uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=s // Social event type &sa=like // Social Action &sn=facebook // Social Network &st=/home // Social Target
Code language: PHP (php)

Custom structured event tracking

Custom event tracking is used to track events that are not natively supported by Snowplow. (Like ad impressions, page views, ecomm transactions.)

As well as setting e=se, there are five custom event specific parameters that can be set:

ParameterMaps toTypeDescriptionImplemented?Example values
se_case_categorytextThe category of eventYesEcommMedia
se_acse_actiontextThe action / event itselfYesadd-to-basketplay-video
se_lase_labeltextA label often used to refer to the ‘object’ the action is performed onYesdog-skateboarding-video
se_prse_propertytextA property associated with either the action or the objectYeshd
se_vase_valuedecimalA value associated with the user actionYes13.99

Add-to-basket example:

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=se // event = custom &se_ca=ecomm // event_category = ecomm &se_ac=add-to-basket // event_action = add-to-basket &se_la=178 // event_label = 178 (product_id of item added to basket) &se_pr=1 // event_property = 1 (quantity of item added to basket) &se_va=14.99 // event_value = 14.99 (price of item added to basket)
Code language: JavaScript (javascript)

Watch-video-clip example:

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=se // event = custom &se_ca=video // event_category = video &se_ac=play // event_action = play &se_la=291 // event_label = 291 (video_id of video played) &se_pr=13.2 // event_property = 13.2 (number of seconds into video that clip starts playing) &se_va=0.0025 // event_value = 0.0025 (ad revenue associated with view)
Code language: JavaScript (javascript)

Custom unstructured event tracking

Custom unstructured event tracking is used to track events that are not natively supported by Snowplow and allow arbitrary name: value pairs associated with the event.

An example of an unstructured event for a product view event:

{ "schema": "iglu:com.my_company/viewed_product/jsonschema/1-0-0", "data": { "product_id": "ASO01043", "price": 49.95 } }
Code language: JSON / JSON with Comments (json)

The tracker will wrap this self-describing JSON in an outer self-describing JSON, which is what gets sent:

{ // Tells Snowplow this is an unstructured event "schema": "iglu:com.snowplowanalytics.snowplow/unstruct_event/jsonschema/1-0-0", "data": { // Tells Snowplow this is a viewed_product event "schema": "iglu:com.my_company/viewed_product/jsonschema/1-0-0", "data": { // The event data itself "product_id": "ASO01043", "price": 49.95 } } }
Code language: JSON / JSON with Comments (json)

As well as setting e=ue, there are two custom event specific parameters that can be populated with the outer self-describing JSON:

ParameterMaps toTypeDescriptionImplemented?Example values
ue_prunstruct_eventJSONThe properties of the eventYes{ "product_id": "ASO01043", "price": 49.95 }
ue_pxunstruct_eventJSON (URL-safe Base64 encoded)The properties of the eventYeseyAicHJvZHVjdF9pZCI6ICJBU08wMTA0MyIsICJwcmljZSI6IDQ5Ljk1IH0=

The tracker can decide to pass the ue_pr or the ue_px parameter depending on configuration. Encoding properties into URL-safe Base64 allows for more data while sacrificing readability.

viewed_product example (using percent encoding and the key ue_pr):

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.13.1 // Tracker version &e=ue // event = unstructured &ue_pr="%7B%22schema%22%3A%22iglu%3Acom.snowplowanalytics.snowplow%2Funstruct_event%2Fjsonschema%2F1-0-0%22%2C%22data%22%3A%7B%22schema%22%3A%22iglu%3Acom.my_company%2Fviewed_product%2Fjsonschema%2F1-0-0%22%2C%22data%22%3A%7B%22product_id%22%3A%22ASO01043%22%2C%22price%22%3A49.95%7D%7D%7D" // event_properties = { "schema": "iglu:com.snowplowanalytics.snowplow/unstruct_event/jsonschema/1-0-0", "data": { "schema": "iglu:com.my_company/viewed_product/jsonschema/1-0-0", "data": { "product_id": "ASO01043", "price": 49.95 } } }
Code language: JavaScript (javascript)

viewed_product example (using base 64 encoding and the key ue_px):

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.13.1 // Tracker version &e=ue // event = unstructured &ue_px=eyJzY2hlbWEiOiJpZ2x1OmNvbS5zbm93cGxvd2FuYWx5dGljcy5zbm93cGxvdy91bnN0cnVjdF9ldmVudC9qc29uc2NoZW1hLzEtMC0wIiwiZGF0YSI6eyJzY2hlbWEiOiJpZ2x1OmNvbS5teV9jb21wYW55L3ZpZXdlZF9wcm9kdWN0L2pzb25zY2hlbWEvMS0wLTAiLCJkYXRhIjp7InByb2R1Y3RfaWQiOiJBU08wMTA0MyIsInByaWNlIjo0OS45NX19fQ== // event_properties = { "schema": "iglu:com.snowplowanalytics.snowplow/unstruct_event/jsonschema/1-0-0", "data": { "schema": "iglu:com.my_company/viewed_product/jsonschema/1-0-0", "data": { "product_id": "ASO01043", "price": 49.95 } } }
Code language: JavaScript (javascript)

Custom contexts

Custom contexts can be used to attach additional data in the form of a JSON to any Snowplow event.

Each individual custom context is a self-describing JSON such as:

  schema: 'iglu:com.my_company/user/jsonschema/1-0-0'
  data: {
    fb_uid: '9999xyz'

All custom contexts to be attached to an event will be wrapped in an array by the user and passed to the tracker, which will wrap them in a self-describing JSON:

{ // Tells Snowplow this is an array of custom contexts schema: 'iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0' data: [ { // Tells Snowplow that this is a "user" context schema: 'iglu:com.my_company/user/jsonschema/1-0-0', data: { // The context data itself fb_uid: '9999xyz' } } ] }
Code language: PHP (php)

The tracker can be configured to encode the context into URL-safe Base64 to ensure that no data is lost or corrupted. The downside is that the data will be bigger and less readable. Otherwise the data will be percent-encoded.

ParameterMaps toTypeDescriptionImplemented?Example values
cvcontext_vendor (deprecated)StringVendor for the custom contextsdeprecatedcom.acme
cocontextJSONAn array of custom contextsYes%7B%22schema%22:%22iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0%22,%22data%22:%5B%7B%22schema%22:%22iglu:com.my_company/user/jsonschema/1-0-0%22,%22data%22:%7B%22fb_uid%22:%229999xyz%22%7D%7D%5D%7D
cxcontextJSON (URL-safe Base64 encoded)An array of custom contextsYesew0KICBzY2hlbWE6ICdpZ2x1OmNvbS5zbm93cGxvd2FuYWx5dGljcy5zbm93cGxvdy9jb250ZXh0cy9qc29uc2NoZW1hLzEtMC0wJyANCiAgZGF0YToge1sNCiAgICB7DQogICAgICBzY2hlbWE6ICdpZ2x1OmNvbS5teV9jb21wYW55L3VzZXIvanNvbnNjaGVtYS8xLTAtMCcgDQogICAgICBkYXRhOiB7DQogICAgICAgIGZiX3VpZDogJzk5OTl4eXonDQogICAgICB9DQogICAgfQ0KICBdfQ0KfQ==

Example of a custom context attached to the watch-video-clip structured event from above using percent encoding and the key co:

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=se // event = custom &se_ca=ecomm // event_category = ecomm &se_ac=add-to-basket // event_action = add-to-basket &se_la=178 // event_label = 178 (product_id of item added to basket) &se_pr=1 // event_property = 1 (quantity of item added to basket) &se_va=14.99 // event_value = 14.99 (price of item added to basket) &co=%7B%22schema%22:%22iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0%22,%22data%22:%5B%7B%22schema%22:%22iglu:com.my_company/user/jsonschema/1-0-0%22,%22data%22:%7B%22fb_uid%22:%229999xyz%22%7D%7D%5D%7D // context = { schema: 'iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0' data: [ { schema: 'iglu:com.my_company/user/jsonschema/1-0-0', data: { fb_uid: '9999xyz' } } ]} }
Code language: JavaScript (javascript)

Example of a custom context attached to the watch-video-clip structured event from above using URL-safe Base64 encoding and the key cx:

uid=aeb1691c5a0ee5a6 // User ID &vid=2 // Visit ID (i.e. session number for this user_id) &tid=508780 // Transaction ID &aid=1 // App ID &tv=js-0.5.2 // Tracker version &e=se // event = custom &se_ca=ecomm // event_category = ecomm &se_ac=add-to-basket // event_action = add-to-basket &se_la=178 // event_label = 178 (product_id of item added to basket) &se_pr=1 // event_property = 1 (quantity of item added to basket) &se_va=14.99 // event_value = 14.99 (price of item added to basket) &cx=ew0KICBzY2hlbWE6ICdpZ2x1OmNvbS5zbm93cGxvd2FuYWx5dGljcy5zbm93cGxvdy9jb250ZXh0cy9qc29uc2NoZW1hLzEtMC0wJyANCiAgZGF0YToge1sNCiAgICB7DQogICAgICBzY2hlbWE6ICdpZ2x1OmNvbS5teV9jb21wYW55L3VzZXIvanNvbnNjaGVtYS8xLTAtMCcgDQogICAgICBkYXRhOiB7DQogICAgICAgIGZiX3VpZDogJzk5OTl4eXonDQogICAgICB9DQogICAgfQ0KICBdfQ0KfQ== // context = { schema: 'iglu:com.snowplowanalytics.snowplow/contexts/jsonschema/1-0-0' data: [ { schema: 'iglu:com.my_company/user/jsonschema/1-0-0', data: { fb_uid: '9999xyz' } } ]} }
Code language: JavaScript (javascript)

Reserved parameters

u is a reserved parameter because it is used for click tracking / URI redirects in the Pixel Tracker.

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