Looking into a heavy topic today: Big Data for Marketing. “Heavy” because it’s sorta philosophical. I think Big Data for Marketing is more about the questions than the answers. More about the insights than the technology.
The opportunity lies in defining how Big Data can help you better reach your customers with your messages in a way that gets them to act.
And this starts with simple questions like: how did your last campaign perform? Which keywords drive conversions? What websites did my prospects visit before they came to my sites? Which social conversations are spurring the actions that lead to deeper engagement with your brand?
Big Data for Marketing is easy to say but hard to do. So here I will look to a few of the “experts” on how to take advantage of all this data and turn it into real business insights that drive real business value.
Big Data Marketing Is Like Gold Mining
Dean Bedard likens Big Data marketing to gold mining when he says “it’s not enough to know where the precious stuff is. In order to reap the riches, first they have to get it out of the ground and turn it into something they can use.”
He outlines four steps to prioritizing the road to mining Big data insights including:
- Setting up a cross-functional marketing and IT team
- Prioritization of the marketing goals Big Data can help you accomplish
- Mapping the data sources to obtain reporting on key metrics supporting the main objectives (KPIs)
- Creating an “agile marketing” implementation roadmap which develops against the highest priority areas to generate the quickest value.
Matt Ariker from McKinsey had similar thoughts when he suggests marketers start their Big Data projects by thinking of the end goal and then working through all the details. This so-called “destination thinking” will help the strategic marketer avoid the traps of many Big Data Marketing projects where the deliverable becomes the end goal itself instead of the business value imagined at the outset.
The Era of Big Testing
Scott Brinker (@ChiefMarTec) suggested in my own future of marketing interview series that we need to encourage more marketing experimentation and “Big testing.”
He believes marketing needs to take advantage of both new technology and new talent to start creating hypotheses. Then to use Big Testing to prove them out – right or wrong.
For Scott, “the key to scientific marketing is actually the embrace of marketing experimentation as a driver of continuous innovation.”
Marketing Offices As Trading Room Floors
Brian Kardon (@BKardon), CMO of Lattice Engines imagines a day when marketing offices resemble trading desks with screens of real-time data streaming in and marketers yelling “buy, buy.”
But he laments, the effort by most marketing departments to develop real-time dashboards are “dwarfed by countless marketing Powerpoints and never-read marketing plans.” Brian understands the power of questions. In his own office he has dashboards that tell him:
- What was the unsubscribe rate from that new campaign?
- Which version of the email performed better – the one with the orange button or the blue button?
- What deals are stuck in the pipeline for more than 60 days?
- Which reps had the lowest win rates this year to date?
- Is Twitter sentiment for our brand trending up or down?
- What % of our customers at Dell DELL -0.41% are using Lattice right now? How does this compare to yesterday, last week or last month?
- How many unique visitors came to our site today? Where did they come from?
According to Jon Baron (@TagManJon) the difference between Big Data and Big Data Marketing is found not in the analyses, but in the insights that turn into actions.
Jon define Big Data as “a simplistic term which refers to the automated accumulation and analysis of audience data on a large scale.”
But emphasizes that Big Data for marketing must be illustrative of the target audience the marketer is seeking to understand. It must help us to be more efficient or effective at reaching a target audience and getting them to act on the marketing message.
Big Data Marketing Means You Understand Your Customers’ Questions
Finally in my own Big Data Marketing rant I talk about the need to understand the questions that our customers are asking when they do a Google GOOG -0.26% search, visit a website or participate in a social media conversation.
I believe every marketing plan should start with an analysis of your companies “share of conversations.” This shows you not only how well known your company is in your solution space, but also how likely your customers are to act on that awareness (RT, comment and ultimately convert to a lead and a customer).
My own 4-step plan to Big Data Marketing Insights:
- Define your customers’ top keywords and topics through search analysis. Starting with a simple look at Google Trends.
- Social analytics to show what % of social conversations include mention of your brand. This is where the data gets really big.
- Insights from your Website analytics will help you understand which keywords and referring domains drive conversions.
- Finally, combine these 3 massive big data sets to help to make decisions on marketing plans, tactics and budget.
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