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How to calculate Taobao competitive product transaction index?

| 1Person Answer

淘宝竞品交易指数的计算公式为:竞争指数=相对市场份额*品牌忠实度*品牌生长指数100%;品牌生长指数=品牌的消费者份额/品牌留存率100%。

要理解的指数有哪些

除了竞争指数外,以下的指数都需求卖家理解。

1、人群指数:购置该宝贝的人群性别、年龄、地域、星座、消费层级等散布。

2、价钱指数:买这个宝贝的均匀价钱。

3、搜索指数:指数化的搜索量,不是搜索次数,只是反映搜索趋向而已。

4、成交指数:搜索带来的成交量,并停止指数化整理。

反映买卖趋向,不等于成交量或成交金额。

5、热销指数:成交宝贝的标题中包含该关键词的商品,成交笔数的指数化。

6、倾向指数:突显该人群的购物偏好并分离热销指数综合计算得出。

淘宝指数是一个免费的市场行情顾问,从中能够看到本人店铺运营的商品最畅销的是什么,店铺商品主流消费者的相貌是怎样的,便当更精准的营销筹划。

以下几项数据卖家有需理解:

1、爱好度(TGI):反映了不同人对这个搜索词的偏好水平,数值越高,偏好水平越高。

当数据为100时,没有明显的偏好。

该值不受人群基数的影响。

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The calculation formula of Taobao competitive product transaction index is: Competition Index = Relative Market Share * Brand Loyalty * Brand Growth Index 100%; Brand Growth Index = Brand's Consumer Share / Brand Retention Rate 100%.

What are the indexes to understand?

In addition to the competition index, the following indexes need to be understood by sellers.

1. Crowd Index: The distribution of gender, age, region, constellation, consumption level, etc. of the crowd that purchases the product.

2. Price Index: The average price of buying this product.

3. Search Index: Indexed search volume, not the number of searches, but only reflects the search trend.

4. Transaction Index: The transaction volume brought by the search, and indexed sorting.

Reflects the trading trend, not equal to the transaction volume or transaction amount.

5. Hot-selling Index: The index of the number of transactions for the product with the keyword in the title of the transaction product.

6. Preference Index: It highlights the shopping preferences of the group and is calculated by combining the hot-selling index.

Taobao Index is a free market consultant, from which you can see what the best-selling products of your store are, what the mainstream consumers of the store products look like, and facilitate more accurate marketing planning.

Sellers need to understand the following data:

1. Preference Index (TGI): It reflects the preference level of different people for this search term. The higher the value, the higher the preference level.

When the data is 100, there is no obvious preference.

This value is not affected by the base of the population.

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