big data public relations

Implementing a big data marketing strategy will help you boost your brand as well as your sales. But how do you start? Overall, big data analytics enable marketers to segment their customers and prospects into small targeted groups according to behavior, rather than just transaction histories and demographics.

By combining metrics like sentiment studies from social media along with CRM data, then marketing departments are able to generate a more holistic perspective of a client’s lifetime value.

Big Data is a Must When Plotting Marketing Strategy and Budgeting for Creative

However, for CMOs (chief marketing officers) the truth is that unless there is a strong link between that particular guarantee and solid results for your organization, big data is just two words with no real meaning behind them.

In order to bring these valuable tools to your organization and convince other people of their potential will require implementation that follows a clear, solid path. Use this five-step process to start seeing results.

1. Apply Strategy

Determine the business case. Figure out what it is you need to know that you already don’t know. What are your key marketing goals? Everything from enhancing customer experience to boosting customer retention to gaining a better understanding of the client’s behavior in response to your marketing strategy, are all strong cases for incorporating big data.

2. Be Tactical

Decide which questions you need to ask in order to address these key goals and ideas. What are the crucial points that currently exist in your department that you need to address? Build your big data case with the premise that stronger analytics can ease those frictions in the end.

3. Big Data Sources

Recognize where your big data is coming from. Do you need to bring in external sources like sentiment data? One crucial idea behind proposing and subsequently rolling out a big data marketing plan is to acknowledge all the work that will inevitably go into making your company’s legacy data useful.

4. Establish Priorities

Without proper backing, any big data plan will struggle against other competing priorities and projects. However, if your strategies, goals, and a clearly conveyed idea of the opportunities and data challenges are in place, then you can effectively argue that your big data initiatives must be a top priority.

5. Find the Right People

Finding the ideal people both inside and outside of the company who can help organize the necessary resources in order to deploy a worthy project is likely the most challenging aspect of all.

The good news is that no one has to figure out how to do big data in terms of technology. All it takes is a strong commitment to do the work.