Say “No” to the Third Helping of Meatballs: The Strategy and Pursuit of Trigger Campaigns

Launching a trigger email is a little like going back for seconds and thirds at an all-you-can eat buffet: just because you can doesn’t mean you should. The temptation to launch a trigger campaign becomes stronger in light of the steady drum beat of email marketing experts who tell you it’s the right thing to do. However, what all this talk of email marketing “best practices” loses sight of is that, like any marketing tactic, trigger campaigns should be a logical response to a strategic problem.

The good news is that there are trigger campaign approaches that align with many common issues — you just need to figure out which campaign matches your strategic need. For example, let’s say you are a company that has made or will be making a commitment to content marketing as a driver of customer and prospect engagement. Your business model requires you to nurture contacts over a period of time until they are ready/have the need to buy. During this interval, you need to keep your company and products top-of-mind, but your response data suggests that you are not maximizing your potential to engage your audience.

In this scenario, the best application of a trigger campaign is to use your target audience’s responses to drive deeper engagement. Leveraging your available content, you can create a collection of emails triggered by a range of positive responses — clicking on an email, downloading a white paper from your website, visiting your booth at a conference — that offer the recipient “next steps” or additional information. The keys to making this kind of trigger successful are:

  • Clean data: Make sure that the email address to which you are sending the triggered email is the email address of the person who took the positive action.
  • Low friction: Make the featured content easy to consume to lower barriers to incremental engagement.
  • Timeliness: Deploy the triggered email within a day or two of the positive action to ensure that whatever spurred the initial engagement is still fresh in the target’s mind.

In our experience, triggered campaigns targeting those with a positive recent response have delivered view rates in the 60-70% range and engagement rates as high as 20%.

2012 Email Evolution Conference: Email Isn’t Dead; It’s Just Evolving

The conference kicked off its Thursday session with a substantive and thought-provoking keynote from Jessica Harley, VP of Customer Marketing at Gilt Groupe. While her presentation touched on many aspects of Gilt’s email marketing efforts, the most notable theme was that we — as marketers generally and email marketers specifically — can’t think about email marketing in a vacuum. In that email marketing vacuum, response rates appear to be declining and social seems to be gaining precedence. But outside that vacuum, email continues to play a vital role in driving engagement and conversions.

Expanding outside the vacuum enables email marketers to recognize that conversions and email’s impact may be felt in ways that aren’t captured by traditional measures. In Harley’s experience at Gilt, customers may look at emails on a mobile device but then convert indirectly on the same day via the web or via an App. In this scenario, the email is the trigger to go to those transactional channels. Therefore, we need to evaluate email performance not always on an immediate basis — how many viewers or clickers did the email drive in the first day or two — but with a longer term view. And if we think of emails as doing more than driving a single transactional response, we need to extend our measurement, for example, whether a series of emails over time produce a more engaged, higher value customer population.

In EMI’s presentation with State Street, I expanded on this theme: consider thinking of email in the context of all the other response channels. Since our objective as marketers is to drive engagement and transactions, it’s important to remember that email is but one means to that end. For certain customers at certain points in the decision-making process, email might not be as effective a means as direct mail or calling.

The Chicken or the Egg? Interpreting Social Media Data and Business Results

Two recent studies purport to prove that social media has a strong, positive impact on business results.

  • A recent study by Bain & Company uses the Net Promoter Score satisfaction/loyalty research methodology to assert that those customers who engage with companies through social media channels are more loyal (have a higher NPS) and spend more with that company as compared to those customers who don’t engage with the company through social media.
  • A second study by Constant Contact and Chadwick Martin Bailey cites data from a survey of Twitter users to argue that Twitter users who follow a company/brand on Twitter are more likely to purchase products from that company.

There is, as I see it, one big problem with this “proof” of the impact of social media channel usage: Did the chicken come first or the egg? Isn’t the most likely scenario the fact that social media engagement AND buying more/loyalty/recommendations are simply both symptomatic of a pre-existing strong connection between the user/customer and the brand? In other words, there’s no proof that social media engagement caused the increase in purchases/loyalty, only that the engagement and the increase coexist in the same population.

The good news, however, is that my note of caution regarding the interpretation of the data touted by these studies doesn’t make that data useless. In fact, a better way to interpret the data would be to conclude that those who engage with a company on social media are self-identifying themselves as that company’s high value customers. With this in mind, the social media channel can then be leveraged to ensure that these customers are rewarded for their engagement: offered special deals, encouraged to spread the word, given opportunities to provide input to product development, etc. Whereas the previous interpretation of the data suggests that it would be a good marketing strategy to try to attract more users to engage via social media, this revised interpretation would lead a company instead to invest in harvesting already engaged users to drive additional revenue.

The moral: Companies must exercise caution when using survey data to drive strategy—not because primary research shouldn’t drive strategy (it should), but because misinterpretation can have significant, often negative, consequences.