Hello Marketers! As promised, I bring you part three of my series Geek out with Chris where I share some of the cool things our marketing team is doing in B2B digital marketing.
In Part 1 and Part 2, I shared some things I’ve needed to unlearn in my time at LookBookHQ and how we’re using our own content marketing automation solution to supercharge our lead scoring program and juice up our campaigns. In this instalment, I’ll dive into the ways we’re empowering our sales teams using real engagement data.
This year, we completely revamped our lead-to-revenue process and we now have a well-oiled machine that does a really good job at MQLing leads and passing them to our crack squad of Business Development Reps who, in turn, pass SQLs over to Sales to close things out. This is an industry-standard process but, here at LookBookHQ, we always want to see if we can do it one better.
One nagging concept we can’t get out of our heads is that, if B2B buyers binge on content (and trust me, they do!), the timing of our follow-ups is essential: We want to catch engaged prospects in the act of self-educating when they are highly motivated to learn more. This concept is supported by numerous reports that have shown that connect rates are highest when you follow up on hot leads immediately after they interact.
As marketers, our collective concept of the marketing qualified lead (MQL) is an important one, but what if a person is more qualified than their score would indicate because they’ve been self-educating rapidly? What if a prospect is bingeing through your content, but they just haven’t done enough cumulatively to flag them as an MQL? An MQL is someone who met a minimum threshold; some prospects take a few months to get there while others do it in a single day. The traditional lead score driven MQL doesn’t take time into account, but don’t worry, there’s an app for that. : )
This is where the concept of a fast-moving buyer, or FMB, comes in: Someone who has been blowing through content like it’s going out of style, but whose behavior hasn’t necessarily met your MQL threshold. Because we track the actual amount of time people spent reading or watching content, and not simply clicks as proxies for engagement, we can effectively look at our prospects’ sessions and consider how engaged they actually were.
It wasn’t long ago that the term Digital Body Language was coined. By tracking what happens after a buyer clicks on your content offer and how they engage with your content assets on the destination side of the click, we fill in some of the blanks left in a buyer’s digital body language – think of it as the new and improved 2.0 version. When marketers can take a critical look at exactly how long people are spending on content, it can have a profound impact on the funnel; our clients’ data has shown that prospects who binge are 2.4 times more likely to be sales accepted.
We’ll send an alert like this to our sales teams when we catch someone in the act of bingeing.
At that point, the rep can make a judgement call about whether it makes sense to follow-up with the person, but in the majority of cases, they’ll call. And they are able to connect more frequently than they would have been able to otherwise because they’re catching people in the moment of self-educating.
Identifying fast-moving buyers has proven to be an effective strategy to get an initial discovery call booked and to resurface opportunities that were previously thought lost. 69% of FMBs in our primary nurture campaign this year also agreed to a discovery call and 26% had been named to an opportunity that had been lost in the past, but had resurfaced as a result of their content binge. It turns out people are more likely to agree to a call when they’ve been using your content to self-educate.
But we don’t just stop there. Using tools like Eloqua Profiler and Marketo Sales Insight, we can pass the details of users’ sessions over to our CRM so that when a rep is looking at someone, they can see at a glance the person’s recent engagement activity – what they’ve been reading and what they’ve been spending time on – so they can tailor their follow-ups.
It’s a cakewalk to build something like this and have it show up right in the lead
detail within your CRM.
Using strategies like this, we’ve been crushing our marketing goals. In Q2, we ended up way ahead of where we wanted to be on Marketing-driven SQOs. In many cases, SQLs occurred in less time than we would have been able to MQL a lead previously. Can you say accelerated funnel? Regardless of what technology you use today, and whether or not you choose to invest in a solution like LookBookHQ, it’s important to pay attention to your prospects’ content consumption behavior to identify who is bingeing and who is not. Because people who binge are more likely to be sales-ready, you want to catch them while they are actively engaging with your content.
In my next post, I’ll dive into how you can use LookBookHQ content experiences on the web. We often have people ask, “How does LookBookHQ work with my website?” Quite elegantly, in fact! I’ll show you how our own marketing team uses LookBookHQ on our website and blog to convert anonymous website visitors. I’ll also do a data dive into some neat things we’ve found in A/B tests and what the engagement data shows about the ROI of enabling the binge.
Until next time, continue your campaign construction, dashboard daydreams and process perfecting, Marketing Geeks!
Chris Vandermarel is Demand Generation Manager at LookBookHQ. In his role, Chris is often called upon to “go deep” into the marketing tech stack to help solve the tough real-world challenges that sales and marketing professionals face every day. In his ongoing blog series “Geek out with Chris,” he shares his passion for marketing technology, tactics and all things demand gen. As LookBookHQ’s resident expert on content engagement, Chris also fields questions and gives hands-on advice for how to make the most of the LookBookHQ platform. If you’re the kind of marketer who obsesses over A/B tests, loves digging into the data to prove hypotheses and believes that no idea is too “out there” to try (at least once), Chris is your new BFF. If you have a question you’d like answered in an upcoming post, you can reach Chris at: firstname.lastname@example.org.