What is the secret of big data marketing?

What is the secret of big data marketing?

Understanding some smarter big data marketing examples will help to clarify how marketers should use non-traditional data and think from the perspective of analysis and innovation.

1. Measuring the influence of social media

Companies can use customized analytical solutions or social network analysis to measure the influence of social media.

2. Identify your brand promoters

Identify key influencers and use these people to carry out active marketing activities. Not only through traditional transactions (recent purchases, customer service calls), but also through social media to find the main influencers.

3. Turn big data insights into practical marketing strategies.

With the help of teams from different disciplines, turn big data insights into practical marketing strategies. The greatest success is a team with fast working speed and strong iteration. Business, IT and analysis experts quickly review the actual results, recalibrate the analysis, adjust the assumptions, and then test the results.

4. Create a customer purchase forecast

Use the historical behavior data of established goals as behavior indicators of different categories of products. For example, test the payment history or upgrade possibility of public services as a behavioral indicator of entertainment products or emerging credit products. Continuous testing is a strong guarantee of success.

5. Understand the real value of different marketing channels.

Combine the sales data of traditional media and social media websites, and create a model to highlight the influence of traditional media and activities on social media, such as call center interaction. Poor customer experience is a more powerful sales driver than traditional media activities. Compared with investment advertising, improving the expenditure behind customer service can increase income more effectively.

6. Lock sales opportunities by postal code

We should not let sales representatives work overtime and analyze massive data and complex models, but should create powerful sales tools to target new potential customers through simple and intuitive interfaces and postal codes. This is an effective strategy to increase sales.

Only by making full use of big data to gain insight can enterprises stand out from many competitors. Since this transformation is still in its infancy, so far few big data insights have been transformed into marketing advantages, so the early entrants of big data marketing have obvious advantages. Consider the following big data marketing examples to learn how other early adopters seek advantages from big data:

1. Next generation customer migration

As big data analysis becomes more and more complex, marketers need to find better ways to reposition customers. For example, imagine repositioning based on items viewed online rather than click-through rates. This strategy and other strategies will be able to provide more personalized solutions than the currently used relocation methods.

2. Use heat map technology to track the preferences of customers in the store.

Using an internal camera system with heat map technology to check the customer flow in the store is just like using technology to register online activities. These offline traffic information can be compared with online data to tell retailers about the online and offline implementation of products, so as to adjust marketing plans.

3. Use geospatial data to communicate with customers.

Use geospatial data to prepare targeted quotations and drive online customers to stores. Wireless operators use targeted marketing activities to increase the income of each user and combine offline and online marketing work.

4. Analyze social media to increase income

Use social network analysis to identify and influence influential customers. Wireless operators find that by implementing social analysis, they can increase the revenue influenced by their most influential 10% customers from 35% to 80%.

Step 5 pay attention to transformation

Marketers should use switching language and pay special attention to this. "What is the clue source with the highest conversion rate?" "What kind of content can inspire the strongest brand proposition?" "Which channels have the highest conversion rate?" Inform with big data and drive all-round transformation.