Marketers today are facing an increasingly diverse set of challenges. On the one hand, they are pushing out messages at a breakneck pace through a continually increasing number of digital channels. At the same time, they have never had more pressure to be accountable in pursuit of ROI.
To try to make sense of what's happening, many organizations are looking at attribution solutions as the silver bullet for understanding how channels are contributing to sales.
Though attribution can be useful in analyzing marketing activities, implementing attribution solutions is not easy. Too often, it isn't until a significant investment has been made that most organizations realize attribution solution doesn't provide the answers they need.
There is hope, however. To make attribution a valuable part of the marketing process, marketers who want to understand the contribution of channels should take the following four steps.
Step 1: Understand the limitations of attribution
To ensure that an attribution project will succeed, it's imperative to understand the limitations of attribution solutions. Today's solutions use a variety of methods—including first touch, last touch, and algorithmic—to try to accurately assign attribution credit.
However, that remains an elusive exercise because the accuracy of each method is questionable, for two primary issues:
- Attribution solutions don't take into account all marketing channels, often ignoring offline activities. Heavily skewed toward digital channels, they don't look at the complete picture. Attribution models tend to give digital channels credit for the vast majority of conversions by focusing on online events (clickthroughs, signups, etc.) and the most recent marketing activities (promotions, email campaigns, etc.). However, offline budgets are currently larger than digital budgets, and offline is expected to continue to play a significant role in the marketing mix for the foreseeable future.
- Attribution solutions ignore brand lift. Today's solutions assign full credit for conversions to specific channels, and they don't take into account the role of brand-building activities (i.e., brand lift). Attribution fails to account for customers who are inclined to convert because of their strong affinity for a brand. As brand lift is ignored, the contribution of certain channels is overstated, which could lead to potentially detrimental budget-allocation decisions.
Step 2: Establish a data foundation and measurement framework
The first prerequisite for operationalizing the outputs of attribution is to establish a data foundation. That begins by thinking through the customer journey and identifying the touchpoints involved. What's measurable and how can you capture the associated data? What can you (and can't you) link to revenue, or another key business outcome? In what situations can you syndicate data from one source to another? Marketers will not be able to properly measure success without a framework in place.
Step 3: Have an "always-on" multichannel view of performance
Most enterprise marketing organizations already have a strong command of individual channel performance, but a view of multichannel results is usually not so readily available.
Often, organizations use a manual aggregation process within Excel that's both time-consuming and fraught with error. Some have gone a step further and pushed their channel data into a business intelligence (BI) system. Although that approach is much less static, marketers quickly discover that most BI tools weren't designed to properly accommodate marketing data and that they are difficult to maintain in the ever-changing marketing data ecosystem.
Marketers need a way to systematically collect, cleanse, customize, and normalize data from all marketing channels on a regular basis.
Step 4: Implement testing to determine brand lift
As I noted earlier, most of today's attribution methods do not account for brand lift and so incorrectly assign credit for naturally occurring or brand-building conversions. The result is a greatly overstated role for certain channels in campaigns, particularly in the case of well-known brands, because the volume of naturally occurring conversions can be significant.
To avoid that issue, marketers must calculate the naturally occurring volume of conversions for each channel. A/B testing is often the best, most cost-effective method. With testing, you can determine the incremental value (or lift) of one channel over another. Once you've tested and determined those naturally occurring conversion volumes, you'll have the information you need to assign proper credit to each channel.
Step past the silver bullet
In attribution, there is no silver bullet. Even if vendors address some of the limitations in the coming years, marketers will still need to establish a solid data foundation and measurement framework. A multichannel view of performance to support frequent, granular decision-making will still be a must have. And conducting tests to determine brand lift before assigning credit to a channel will still be critical for attribution accuracy.
Start strengthening your attribution initiative now. Tackle each of those needs as prerequisites so your attribution projects can drive smarter marketing decisions and help improve business results.
Take the first step (it's free).
You may also like:
- Chin up, Marketers: The Demise of Third-Party Cookies Isn't All Bad
- How to Marry Offline and Online Attribution Data for a 360 View in Google Analytics
- How B2B Marketers Can Absorb and Apply Data Effectively: Six Questions Answered
- How to Match Your Key Metrics to Your Content Goals
- Five Web Analytics Tools to Help You Optimize and Measure Marketing ROI