Capture their attention first, and the ‘heart’ next: attention & emotions in social media advertising

Written by Vanja Radic, Facial Coding Team Lead at EyeSee.

Many of our clients have asked what a successful social media campaign entails. In this article, we will address the most important creative aspects to have in mind when directing and optimizing social media ads. Those aspects revolve around two main pillars: attention management and emotional engagement.

TVC vs. social media

Although attention metrics can always provide additional insights, they are not essential when it comes to TVC testing; as for this advertising format, some amount of attention comes as a given – the TV is on, and we just move on to other activities until the TVC clutter dissipates. A lower level of attention is even considered a unique TVC advantage, allowing a more subliminal persuasion to take place (Heath, Robert). Countless academic discussions address the pros and cons of TVCs vs. social media advertising, however, when it comes to a younger and more specific target audience, social media marketing is without a doubt winning the game. Nevertheless, social media as an environment poses additional challenges when it comes to creating a successful video ad. Ferociously fast-moving timelines have brought on the need for marketers to become excellent managers of attention. Consequently, attention metrics come into play as the strongest indicator of success: being three times more predictive than viewability, attention metrics inform marketers about how much of the video content will actually be seen.

Let’s introduce an analogy: the difference between seeing a movie cover and seeing the whole movie or a part of it aptly illustrates the difference between viewability and attention. Unfortunately, most social media analytics limit themselves to viewability, in that way stunting the learnings from past campaigns.

Yet, it’s important to note that testing an ad only on attention metrics doesn’t give a full picture of its performance and therefore limits the feedback on where the spaces for improvement lies. Attention metrics represent only one side of the coin since they say nothing about a very important driver of attention and consumer behavior overall – emotions.

Attention vs. emotions

It’s difficult to talk about attention without appreciating emotions since they can critically modulate attentional processes and, at the same time, increase the likelihood that an emotional experience becomes part of our memory store; in turn, creating an emotional connection to the brand.

“A marketing strategy focused on appealing to consumers’ raw and most personal emotions can change a faceless, perhaps seemingly soulless, business into a brand that audiences can relate to and care about.” (Ingwer, Mark)

We are constantly bombarded by a plethora of information and experiences, only a small subset of which will be encoded into lasting memories. That small subset that is likely to be selected from the barrage of information is the emotional content. Apart from transforming experience into a memory, emotions powerfully, predictably, and pervasively influence our decision-making, which is why brands should make sure their advertising efforts elicit positive emotions.

The best way to access the emotional quality of an ad is by applying the Facial Coding method. As both appealing to emotions and managing attention are equally important, EyeSee’s methodology relies on both facial coding and attention measurement when assessing an ad’s performance on social media.

How we do it

Nothing better than an example to illustrate the complementarity and uniqueness of these two methods. Here are the results from a YT ad testing study, summarized in Retention rate per second (Attention) and Emotional engagement per second (Facial Coding) graphics. 

A look at attention measurements for this ad shows that the retention rate drops below the benchmark from the moment the skip button appears. This drop severely influences other attention metrics, like competition rate and overall focus, as the viewers who click the skip button are irreversibly gone (the line can only go down). Still, we can see that there is a shift in the 7th second, where the line starts to straighten, from that moment on, floating above the benchmark. 

Graph 1 Retention rate per second (Attention)

Now let’s consult the emotional metrics provided by Facial Coding:

Graph 2Emotional engagement per second (Facial Coding)

From the standpoint of facial coding, the ad is a high performer, reaching a 20% positive tipping point in the 11th second. Obviously, humorous scenes developing from the 7th second have done their part in positively engaging viewers’ emotions and need no further script-based modifications. If we go back to the Retention rate graphic (Graph 1), we cannot help but notice how emotions interfere with the attentional processes – i.e. attention drop-off decreases from the same moment that stimulus starts to engage the viewers. However, if we were limited to attention measurement metrics only, we might be tempted to wrongly assess this social media ad as an average-to-low performer; nevertheless, Facial Coding demonstrates its strength and potential in engaging positive emotions, hence sharpening the feedback given. Therefore, by combining both attention measurement and facial coding, we can say for certain that the biggest space for improvement lies in the first part of the stimulus; this is probably due to a lack of suspense or dynamic shift around the 5th second, that second being the stumbling stone for effective attention management in the YT environment.

Insights into social media ad performance can be even more enriched by supporting these two methods with other behavioral methods such as Eye Tracking, Virtual Shopping and Reaction Time Measurement. Given that Facial Coding yields data on how the respondents feel when exposed to an ad, Eye Tracking is utilized to pinpoint what exactly they are looking at when watching the video, uncovering the main areas of interest. And while an ad can be both entertaining and attention-grabbing for consumers, generally excelling from the creative side – the question of what it brings to the brand remains open. That is where Virtual Shopping comes into play, enabling us to measure the actual impact on sales, whereas Reaction Time Measurement ensures we understand the impact on the brand itself.

Conclusion

Relying solely on attention metrics in social media testing is not enough if we really want to learn from past experience and squeeze the most out of the input available. By applying the right combination of EyeSee’s behavioral methods, we can understand both the emotional and attention aspects of video content, which allows us to pinpoint exactly where space for improvement lies. 

If understood and excavated properly, emotions can be powerful commercial tools and many brands have come to the conclusion that appealing not only to consumers’ reason and logic but also to their heartstrings can give them a competitive advantage. Besides establishing attention as an adequately managed KPI, Facial Coding method helps marketers ensure that their advertising efforts are successfully connecting with their audiences emotionally.

Heath, Robert. (2012). Seducing the subconscious: The psychology of emotional influence in advertising. Wiley-Blackwell.

Ingwer, Mark. (2012). Empathetic marketing: How to satisfy the 6 core emotional needs of your customers. Palgrave Macmillan.

Advertising Week: Attention is the New Metric

    The latest in social media testing: Replicated feeds for authentic behavior

    The future of shopping is set for a social revolution. Thanks to its accessibility, social media has quickly become one of the essential business operations for brands. And due to the highly competitive digital arena, growing a brand’s social presence has never been more challenging – from standing out in the clutter and ensuring ads actually trigger the conversion into purchases to knowing how to successfully navigate the polarizing timelines caused by turbulent events and crises.

    Check out Laura Hoste (New Business Development Director, EyeSee) give a comprehensive run-down of this innovative research approach to testing social media campaigns:

    What are the current social commerce trends and drivers?

    E-commerce sales have soared in the last years and with that, the way people are shopping has changed fundamentally. And now there is Gen Z – a new consumer group that is completely transforming the face of online shopping. A trend we have seen time and time again since the rise of TikTok is its potential to blow up products to unseen highs of virality and almost permanently clear them from the shelves. The power of social media is immense.

    But these short-format-based apps are certainly impacting our attention spans. In fact, viewers only spend 2.5s per post, according to Facebook. While 2.5s sounds scarce (because it is), the consumer’s attention in actual physical stores is not that much greater – only 7s!

    Of course, researchers and marketers know how precious and hard to obtain attention is in any environment – but the digital arena is way more cutthroat and competitive than anything we’ve seen so far.

    What are the go-to research tools?

    Because of the highly competitive environment, the pressure is on brands to find more innovative data and drive successful campaigns. However, researchers usually take the route of extracting data from live analytics via social media platforms, different social media tools, surveys and focus groups. And while these methods can be handy, they are not without some gaps.

    First off, they are missing the why – why is a certain trend happening, and why are consumers resonating more with this post instead of that one. Then there’s the reputation risk and the opportunity cost of launching a non-tested ad. And, of course, it’s hard to understand if consumers are connecting with your brand – although extremely important when it comes to advertising, tools like live analytics give no insight into which parts of the post or ads are performing well or how they are directly impacting the in-store purchase behavior. And finally, none of these methods can provide strategic insights both across social media channels and other marketing channels such as TVC, digital, print, OOH.

    What is the value of CMS or in-context social media testing?

    CMS stands for content management system, which is a computer software used to manage the creation and modification of digital content. Essentially, it is a platform capable of cloning or rather replicating social media channels and websites.

    By developing a replica of the social media environment, the quality of research insights significantly boosts. And the more realistic the environment, the more predictive and precise understanding of authentic consumer behavior! But this also means that you can have full control over the testing in terms of stimuli, the target group, the entire timeline, and its features. Shortly, the study setup is completely customized to your particular research needs. And with the help of an in-house design team, any major social media platform can be recreated – and in it, any format of an ad or content can be tested and optimized!

    Testing with combined methods yields higher predictive power and maps out specific elements of an ad that work (or don’t work) with the target audience. As a result, you gain a lot more strategic insights that allow you to create guidelines and frameworks for creative agencies and for developing ads that can be tweaked according to the platform. Especially since each one has unique qualities to it and what works on one, let’s say, putting the brand logo in the left corner on Twitter ads might not work on Instagram, where it needs to be in the bottom right. This is why it’s crucial to pre-test and really understand how your content can be additionally tweaked and optimized for every platform. And that is how we designed this CMS solution – to deliver brands a competitive overview of their ads and content performance across different platforms such as TikTok, Instagram, Twitter, YouTube, Snapchat and Facebook – check out the demo!

    How does in-context social media testing work?

    For reliable and valid insights, it is crucial to use a mix of behavioral and traditional methods that focus on consumer behavior in the timeline and its impact on sales uplift. Surveys help uncover the why behind ad performance – beyond just the clicks, views and other analytics, but digging deeper into consumer perception.

    Eye tracking, in particular, allows granularity into which ad elements are seen and which are often missed, while facial coding identifies whether consumers are engaging with your brand by analyzing their emotions through facial expressions. And virtual shopping provides a direct link between the performance of an ad and in-store purchase behavior with the help of realistic simulated store environments that tap into authentic consumer behavior.

    And because of the online and accessible approach, respondents are recruited from anywhere in the world via a third-party panel, allowing studies across different markets, countries and industries. And the best part is that no extra tech is needed – respondents simply use their own laptops or mobile phones during the test.

    What does CMS testing uncover?

    Every metric and KPI you need to know about your ad performance:

    1. Visibility –  how many users have actually seen your content?
    2. Attention – how long do they watch it for?
    3. Video retention – what are the usual points where you start to lose them?
    4. Emotional reach – is the ad resonating with them?
    5. Survey KPIs – does it fit with the brand, and do users like it?
    6. Sales uplift – does the ad impact sales?

    But going beyond these KPIs, it is important to have a holistic view of how the ad performs across different platforms – to gain overarching best practices and guidelines.

    How are simulated feeds the gateway to connecting with consumers?

    Apart from enabling an incredibly nuanced understanding of ad performance, testing content in simulated social media feeds opens opportunities for brands to connect with consumers and explore topics relevant to them. Since this, too, varies from platform to platform, uncovering the sophisticated differences in behavior that would go undetected with traditional social media research tools is crucial! Here are some insights we have accumulated over the years:

    Instagram: In one of the most extensive mobile behavioral studies conducted on 1800 respondents in an Instagram environment that tackled brand perception, we uncovered that IG users tend to prefer full body shots, celebrities & female protagonists – for most industries, that is. Ads featuring Female protagonists drive more positive emotions and are evaluated as more attractive and transparent, and this stands for Endorsement and Seasonal ads in particular. 

    Twitter: Another study done on a Twitter timeline showed that the key to uplifting sales is that combining and showcasing both brand and product significantly increases the purchase intent. Only showing the brand or product does not have the same impact. Furthermore, the findings showed that placing the brand logo in the upper left corner actually boosts recall!

    Facebook: A Facebook study where 26 ads from 6 different industries were tested found that ads from the Food industry were the ones grabbing the most attention – they outperformed other ads on visibility, attention and emotional reach. And – if you can, avoid GIFs! Videos are proven to be far more persuasive, driving both better brand perception and differentiation.

    Interested in optimizing your social media presence? Reach out to us!

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