Big Data combat: how electricity providers that use big data to get traffic?

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      Over the years, mobile electricity supplier APP appearance, so that shopping becomes more and more convenient, rapid development of the electricity supplier industry. Each electricity supplier promotional methods have become more diverse, or even a two-eleven, "618" and other national and known almost shopping festival. In addition to Taobao, Jingdong, there are a lot of fight, Netease and other large and small, carefully selected business platform, tools and even some applications, there have been electronic business sector. Limited user time, traffic becomes a scarce resource.

    So, in this case, the electricity supplier how to use big data to get more traffic it?

01

market

analysis

    Using historical data, the existing portraits of buying groups to analyze, summarize, sum up, knew the product's user population distribution, product positioning in order to verify whether appropriate and timely adjustments, as a basis for designing marketing strategies, product plan Wait. 

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    Through data mining, it may also have found that some of the unexpected, to improve merchandising strategy.

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Supermarket customers high school students to predict pregnancy

    Minnesota Target store a customer complaint, a middle-aged man accused of baby product coupons, Target will send his daughter - a high school student. But not long after he calls to apologize, because her daughter after he pressed admitted that he really was pregnant. Target Corporation is relying on the analysis of all the user's shopping data, and then analyze the true state of things come through the relationship.

02

user

Excavation

    On the flow of fans and mining, electricity providers can flow through the stars, IP works as its flow inlet, thereby obtaining the crowd flow.

    Through the analysis of the consumer to understand the positioning of which star crowd likes, what usually concerned more with what app, and then to increase exposure through these channels, users of new grass, transforming potential users, so as to effectively drive the user and order data growth.

    Such as Estee Lauder lipstick Yang Mi-color, large cousin color, is through the data analysis found that customers use Estee Lauder lipstick's more concerned about Yang Mi and big cousin and other stars of the population, so the introduction of the mouth red number with a star named after this to achieve the purpose of attracting traffic;

    还有比如现在很多年轻人喜欢刷b站、微博等,有些美妆博主通过化妆教程视频,用自己的妆面效果吸引粉丝,所以这些用户群体的电商,可以通过美妆博主带货的方式来吸引流量。

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    另外,对于任何推广,不管是活动推广也好,应用推广也好,社交网络都是最好的方式之一,因为社交网络作为用户流量的超级入口,很容易发生化学反应,从而引起规模化增长,拼多多便是最好的案例。

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03

用户

留存

     质量是消费者首选的因素。

    其次在互动方面,品牌可以设置不同等级的粉丝会员在某个产品上有不同程度的优惠折扣、遇到店内活动的时候可以优先通知粉丝会员等等,针对每一位用户提供定制化产品服务推荐,进行精细化运营。要根据实际情况制作合适的内容,然后将内容推送给合适的人群。

    比较常见的是基于设备的维度,同时也包括APP的相关属性。比如机型、地域、操作系统、渠道、APP版本、系统语言等等。比如生鲜电商类应用,葡萄上市之后在北方城市搞促销,那么就应该将信息推送到地域所在北方的用户手机上。

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    而更高级的推送则是,根据用户的购买历史和购买周期以及商品浏览行为,对用户的购买预期做出预测,从而在合适的时间向用户推送合适的商品内容。这种级别的推送相对来说会比较困难,需要构建相对完善的数据分析系统以及数据模型。但是效果上确实会好很多。

    但尽管现在的推送手段很多,但是存在一个很明显的问题就是打开率非常低。

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    以应用内的推送来说,目前的打开率只有3%-10%,更多的用户选择将推送划掉或者直接将推送通知关掉。而短信和邮件营销的打开率则更是低的可怜。所以,结果经常是,投入了大量人力物力,却没有带来交易转化。

    还有些推送,提供给用户的推送链接并不能将用户带到与所浏览内容对应的应用页里,而是将用户带到了应用的首页,如果要找到想浏览的页面或者想购买的商品,还需要在应用里进行对应的检索。这样造成的用户体验就特别糟糕,用户不愿意在自行进行检索,开发者达不到推送所想要的目的。

Currently, the technology can actually be realized jump directly from a link to the corresponding page, if deep links can be combined with user-portrait, push to achieve accurate, then the corresponding rate and opened into a single transaction is bound to be greatly improved.

More Big Data learning resources, please visit public number: ITdaima

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Origin blog.51cto.com/14217196/2404173