Business, Marketing, and Big Data: 5 Key Tips for Bringing Them Together

Business Marketing DataThe explosion of social media and online/mobile commerce over the last few years has created a treasure trove of information. For many leading business people, deft analysis of this “big data” is the new key to making better business decisions.

Whether you’re a three-person shop or a sales force of dozens, one of the key benefits of big data is that its massive analytical potential can lead to the discovery of results-oriented patterns within massive sets of incoming information — exactly the kind of material that social media and commerce-based sites tend to generate.

But how to leverage it?

It’s not enough to simply amass the raw info.Strategists from small-business owners to large enterprises need to integrate that big data with the “on-the-ground” tactics.

To get a start on that, we turn to several experts who are working on the tools to effect just this kind of integration. They bring us five tips for better marketing, using big data as a primary approach.

Bringing Big Data to the Marketing Table

We turned to Mark Cerullo, senior manager of Campaigner email marketing, to help isolate the five basic principles to help owners achieve those goals in the big-data realm.

  1. Standardize Best Practices. Big data can give you a dynamic, real-time view into the behavior of prospective buyers. Use it to help discern content type, frequency, and sequences that yield the best results. For example, if your data reveals that a video demo followed by a personalized email yields the best results, standardize the practice.
  2. Segment for Success. Use big data to segment your audience into specific subgroups. You can combine a number of data factors — such as job title, location, items and services purchased, or pages viewed — to create an audience segment. You can then create highly targeted communications specific to each group. For example, you can deliver tips specific to CMOs in a specific industry or create a bundled offer to buyers who have purchased a specific product or service in the past.
  3. Up Your Game with Integration. Integrate information from different systems to capture, analyze, report, and then act upon the intelligence you have collected. Multi-channel information can be used to gain visibility into user behavior and help you tailor smarter strategies for reaching and engaging your audience. For example, your website, CRM data and e-mail campaigns all yield streams of information. By pooling these individual streams of information you gain greater insight into your customers’ behaviors, likes, dislikes, and buying patterns. You can use this to not only customize more relevant content but also to tailor the delivery channel and timing.
  4. Use This, and Then Use That. Use big data to create automated triggers based on user behavior. Develop specific follow-up actions prompted by customer behavior. For example, a visitor that reads a blog post on marketing may be prompted with a message that directs them to a marketing-software demo. An opt-in form may trigger an immediate follow-up call from a sales representative. An abandoned online shopping cart might prompt a follow-up e-mail with a special offer for completing the transaction.
  5. Data Strengthens Data. The inflow of big data can help you to become more efficient about what is captured, stored and used. You can identify the data that is most relevant for your business. You can save time in analysis but also store only what is important to your business needs, thus saving on data storage costs.

 

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