Quick Tracking:String group upload format and analysis description

1 Scenario

When a user purchases a product, the user needs to perform tracking on the browsing, adding a shopping cart, and settlement behavior of the customer. The common tracking solutions are as follows:

The "product type" is a string group, because there are multiple types of products, such as melon seeds:

commodity name: melon seeds

Product Type: Nuts, Snacks, Processed Foods

Commodity price: 12.00

Then, when the tracking point is reported, "nuts", "snacks", and "processed food" need to be written in the attribute key "goods_type" at the same time. This type of attribute is a string group. Specific reporting and analysis methods can be found below.

2. Manage properties

3 Reporting Method

In SDK reporting, you need to concatenate multiple property values into a string in the following format for reporting. If the data does not conform to the following format, the system fails to parse the data.

"String_arrayString": "['Nuts', 'Snacks']"
"String_arrayInt": "[1,2]"
"String_arrayBoolean": "[true,false]"

"String_arrayString": ["Nuts","Snack"]
"String_arrayInt": [1,2]
"String_arrayBoolean": [true,false]

Use an Android custom event tracking point as an example:

Map<String, Object> goods = new HashMap<String, Object>();
goods.put("goods_name", "melon seeds");// Product name-melon seeds
goods.put("goods_type", "['nuts', 'snacks', 'processed food']"); // The type of the product.
goods.put("goods_price",12); // Price: CNY 12
QtTrackAgent.onEventObject(this, "pay_clk", goods, "goods_page");

or use the following method:

Map<String, Object> goods = new HashMap<>();
goods.put("goods_name", "melon seeds");// Product name-melon seeds
String[] type_property = {"Nuts", "Snacks", "Processed Food"};
goods.put("goods_type", type_property);// The type of the product. Valid values: nuts, snacks, and processed foods.
goods.put("goods_price", 12);// Price: CNY 12
MobclickAgent.onEventObject(mContext, "pay_clk", goods);

Use custom event tracking for iOS as an example:

NSDictionary *dict =@{@ "goods_name" : @"melon seeds", @"goods_type" : @"['nuts', 'snacks', 'processed foods']", @"goods_price" : @12};
[QTMobClick event:@"pay_clk" pageName:@"goods_page" attributes:dict];

or use the following method:

 [QTMobClick event:@"pay_clk" attributes:@{
                @"goods_name" : @"melon seeds",
                @"goods_price" : @12,
                @"goods_type": @[@"Nuts", @"Snacks", @"Processed food"]
            }];

Use a mini program to customize event tracking.

aplus.record('pay_clk', 'CLK', {
  goods_name: 'Melon See',
  goods_type: ['Nuts', 'Snacks', 'Processed food'],
  goods_price: 12,
  page_name: "goods_page",
});

Use Web/H5 custom event tracking as an example:

aplus.record('pay_clk', 'CLK', {
  goods_name: 'Melon Sedes',
  goods_type: ['Nuts', 'Snacks', 'Processed food'],
  goods_price: 12,
  page_name: "goods_page",
});

4 Analysis methods

4.1 supported analytical models

1. Select a metric: You can select String Group Single Value when you select a metric for event analysis, attribute analysis, or crowd creation. For other models, you can select only the original value.

2. Select a group: During event analysis, attribute analysis, and crowd creation, you can select a single value of a string group when you select a group. Other models support only the original value.

3. You can select a single value from a string group for filtering in event analysis, funnel analysis, distribution analysis, retention analysis, interval analysis, path analysis, attribution analysis, attribute analysis, and crowd creation. The single-value filtering rules for string groups only support: equal to and not equal to.

4. Example: A number of customers in a shop placed orders today. The contents of the orders are as follows:

   1. A customer orders melon seeds:

      commodity name: melon seeds

      Product Type: Nuts, Snacks, Processed Foods

      Commodity price: 12.00

   2. B customer order hawthorn

      commodity name: hawthorn

      Product Type: Desserts, Snacks, Processed Food

      Commodity price: 5.00

   3. c customer order bottle opener

      commodity name: bottle opener

      Product Type: Tools, Stainless Steel

      Commodity price: 18.00

When the number of buyers is grouped according to the single value of "commodity type", the grouping result is as follows:

Nuts: 1 person

Snacks: 2 people

Processed food: 2 people

Dessert: 1 person

Tools: 1 person

Stainless steel: 1 person

When the number of buyers is grouped by the original value of "commodity type", the grouping result is as follows:

[Nuts, Snacks, Processed Foods]:1 person

[Desserts, snacks, processed foods]:1 person

[Tools, stainless steel]:1 person

4.2 Group with Value, No Value Description

1. Original value no value:

   1. Can't be converted to an array

   2. After converting the array, the array value only has empty strings and empty objects.

   3. The key is not reported.

2. Single Value No Value:

   1. After the conversion to an array, only empty strings or empty objects exist for a single value.

The analysis attribute b is used as an example. The results are as follows:

5. Overwrite if the user attribute is empty

If the user attribute "User Preference-user_preferences" you report for User A is:

"user_preferences":"['Elvish Maid', 'Super Buyer']"

then reported

"user_preferences":"[]"
"user_preferences":"[null]"

QuickTracking considers that the report is invalid and will not overwrite the update of the user attribute. If you upload a file in the following format, the user attribute will be left empty:

"user_preferences":"['']"