Last week we addressed the rampant problem of misaligned measurement and the key
questions we seek to answer from a branding campaign.
The key takeaways are straightforward enough:
1) Establish clear objectives; and
2) Align a
measurement approach according to these objectives.
Simple, right? Rule #1: If your objective is “branding” or “awareness,” then measure branding effectiveness. I
support this statement 100% and this is my primary recommendation to clients.
However, things are not always that simple and straightforward.
An increasing number of marketers are
beginning to question or even dismiss the often-unimpressive single-digit lifts in branding effectiveness measures. Some marketers, including brands with smaller or fragmented budgets that support
multiple initiatives, are not budgeting for branding effectiveness measurement on a regular basis, if at all.
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Regardless of the reason, there will be a time when every digital media
strategist or planner must develop a creative (and analytically sound) measurement approach that is generally aligned with your objectives.
I’ve been working on perfecting a calculation
for a normalized index of multiple objectives and priorities that allows for the comparative analysis of campaigns and elements within campaigns. The resulting digital media performance score is not
skewed by campaign scale and should be well formulated such that the calculation does not change over time.
Of course, I can’t give away the entire punchline here, but I will walk you
through the general framework for creating your own model. This should provide some serious fodder for conversations with your agency/client analytics teams on how to develop your own calculation and
model. I welcome feedback, challenges, debates, and ideas on how to improve this approach.
The model incorporates three broad measurement buckets: Reach & Frequency, Engagement and
Commerce.
- Reach & Frequency: Although there are plenty of issues around the GRP/TRP approach, there is no contesting that reach and frequency must be included in any
calculation of a performance score. All else being equal, the efficiency of reaching your target should positively affect your score. Establishing an optimal frequency target can be calculated
separately (via branding effectiveness studies) and can also be applied to the model.
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- Engagement: One of the unique attributes of
digital media is the ability to measure engagement -- interactions with rich media, on landing pages and beyond. Ordinarily there are several potential elements of engagement within a campaign. These
elements can be weighted based on the relative value of each behavior to the brand. For example, inputting a zip code in a store locator is a higher expression of intentions than watching a video and
would be weighted accordingly (maybe in reality it is not, but we have to stick the stake in the sand somewhere). A weighted cost per engagement would be included as a component of the score
calculation.
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- Commerce: While not a primary expectation for a non “performance” campaign, measurable (multichannel) revenue
or lead generation should be included in the score as well. The normalized way to do so is simply with ROAS or CPL. These numbers will not look good from a return perspective, but again, this is not
the objective of the campaign. We are merely including all of the pertinent measurable elements, whereby any significant fluctuation in one metric will visibly affect the score and trendline over
time.
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Digital Media Performance Score
The performance score combines disparate metrics that
will need to be prioritized and weighted. If running a branding effectiveness study, brand lifts can also be incorporated into the score. Arbitrary coefficients should be used to enable each of the
measurement buckets to yield ranges of measures that can contribute to the score in a visual manner. This will prevent any needles in the haystack, so to speak.
How to Use The
Digital Media Performance Score
Remember, this score is not an absolute value of anything, but rather a tangible comparative index that is influenced by the efficiency of reaching
your target, the level of brand engagement, and the measureable revenue or leads that result. It’s an augment to existing measurement, and a creative approach to the gray area between hardcore
direct response and branding effectiveness measurement. This may not be the be-all and end-all of digital media measurement, but it just may be your salvation if you’re still struggling with
measuring digital media in general or if you’re somehow still using click rate (gasp, shame).
I’d love to hear your feedback, challenges, or additions to the approach. Leave your
comments below or hit me on Twitter @jasonheller