The Database Marketer Superhero: Expanded Role, Big Impact
Riddle me this, Batman: What sort of marketing strategies today require deeper, strategic database insight?
Not so puzzling, is it? Pretty much everything a marketing team does today is driven by data — e.g., digital outreach, content, media, attribution, return on investment analysis, lead nurturing, PR and social community participation. In fact, the list would be shorter if we tallied up those marketing functions that don't benefit from data-driven decisions.
Database marketers were traditionally the geeks of the marketing department. They kept to themselves, ran queries to answer questions posed by other strategists, and worked hard to keep data clean and updated. Today's database marketers are part of an emerging and essential marketing operations team that's driving a lot of brands’ strategies. One marketer said to me recently, "Whomever knows the customers best gets to make the call." Who knows your customers better than the people working with the data every day? All of a sudden, database marketers are superheroes — or at least have the opportunity to wear capes if they choose to accept the challenge.
There are two factors driving this trend, one being consumer habit. Given the ability and choice to interact with brands in many ways and across many channels, consumers are taking full advantage. It's a me-centered consumption world where customer preference and whim create habits. At the same time, marketing automation technology is advancing and data integration is possible. Marketers can track and, more importantly, react to customer behavior in order to meet needs across channels.
Consider these five initiatives that have become imperatives for many chief marketing officers today:
1. Obtain a 360-degree view of the customer. One B-to-C marketer told me that there are more than 25 ways customers can interact with her brand, from a kiosk to a store counter to email to mobile commerce to branded website to call center to social communities. Most consumers participate in three or more of those channels. Communications can only be optimized if those habits and experiences are captured — and actionable — in your database.
2. Respond to customer behavior in the channel where the interaction occurred. This also has to be aligned with self-selected preferences.
3. Select the optimal channel for your next offer. A hotel owner uses past booking behavior to send last-minute alerts via SMS to those who have opted in and accessed the brand's mobile commerce site. All others get the information via email. Response has boosted overall 8 percent.
4. Outline personas representing key customer segments. Do this in order to profile audience types and improve communication messaging and cadence.
5. Test and optimize your mix of channels for lead nurturing campaigns. For a live seminar event, one B-to-B marketer emailed reminders and offers based on interaction with previous email campaigns. Those who didn't respond got simple reminders on date, location and keynote speakers. Those who did respond got more robust offers. Revenue from the offers increased 50 percent over the previous year and spam complaints dropped 25 percent. This is surely because those who demonstrated a willingness to engage prior to the event were nurtured with offers that made sense to their actions, and the others were left alone.
I'm sure there are infinite variations of these opportunities. Perhaps you're testing some of them now. It will also be great to see how database marketers react to this new level of attention and interest from the C-suite. Will you embrace it and join the strategists, or will you run back to the corner and take orders?
How are you and your team embracing the need for a data-driven marketing approach? Please tell us by posting a comment below.