Are you bored with the marketing method of "Guang SA Network ?,

Are you bored with the marketing method of "Guang SA Network ?,

The marketing industry used to adopt a "widely spread Network, focusing on training" method. It is said that the effect was good at that time. However, in the current era of personalized and tailored services, this method may not work ...... When will your work plan begin to be refined to direct to each potential customer by various manufacturers and Marketing Partners?

Do you think this is too troublesome? Let me tell you two stories:

 

Precision Marketing: I finally found you!

Collects and analyzes Internet and social network data, and uses Azure cloud services and cutting-edge big data analysis technologies to build precision marketing solutions, helping users easily achieve social listening, product reputation insights, and media communication insights, personalized recommendations and other core business scenarios.

 

Social listening

It monitors media and user voices based on Internet public data analysis, implements Enterprise Reputation monitoring, Influence Analysis, competitive brand analysis and other core business scenarios, and assists in brand promotion, crisis PR, and other events decision-making.

Using social listening tools, the company's public relations department can promptly adjust brand promotion strategies based on social hotspots, and find potential users interested in products through analysis of published data of social media users, adjust advertising documents and advertising strategies. The boss no longer needs to worry about the crisis caused by the spread of social media comments ~

 

Media Communication insights

By collecting and analyzing data published by social network users, discovering and monitoring social network hotspot events, establishing event propagation paths, identifying key propagation nodes, and analyzing attributes and influence of propagation nodes in multiple dimensions, predict the event propagation effect.

This function can use rules to automatically search for and monitor social network users' posts, and summarize qualified users to the Operation Team for processing or automatic reply. It can also analyze social networks and find key propagation nodes, in this way, the text can be directly posted to improve the communication efficiency. At the same time, the propagation path can be analyzed to quantitatively assess the communication effect of PR companies.

Personalized recommendations

Based on Multi-source data, based on the needs of business scenarios, a variety of Recommendation algorithms are integrated to provide customers with precise product recommendations, greatly improving the product marketing success rate and user experience.

Based on the customer's preferences and habits of public data analysis, we provide the most "considerate" recommendations when necessary and turn them into sellers who truly understand the customer. While promoting the sales work, we can create tailored personal services for each customer.

Solution architecture:

Solutions built using Azure cloud service components.

The specific usage and features of different services used in this solution are as follows:[Read original]Learn more.

 

Solution results:

• Use global social networks to achieve precise content delivery

Monitors and analyzes social network events and users, finds key nodes for dissemination, analyzes audience portraits, guides public opinions of the audience, and monitors, manages and manages the reputation of enterprises and products and crisis public relations.

• Using user comments and customer service data,

  Provide basis for product and service improvement

Analyzes multidimensional data such as e-commerce websites, social media user reviews, online or telephone customer service records, and quickly performs In-depth analysis. visualization tools are used to help commercial enterprises quickly understand the core issues, develop improvement plans.

• Precise recommendation service based on user behavior data

Using the obtained multi-source data, based on the needs of enterprise business scenarios, the recommendation results can be more accurate to users through comprehensive use of a variety of Recommendation algorithms, which not only improves the user experience on the Enterprise platform, it also improves the product recommendation and marketing conversion rates.

With the help of Azure smart cloud, precision marketing and customer insights for enterprises and brands are so simple that you can do the same.

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