Blog post
The future of AI personalization is inclusive, part 2: Reimagining audience engagement with emotional intelligence

Does your advertising truly resonate with your audience?
This is a common, yet complex question that most marketers consider for every campaign. I’ve asked myself the same thing many times.
A broad customer base requires targeted messaging that ensures relevance, minimizing the risk of unintentionally excluding people. Reaching and converting those who aren’t gravitating toward your advertising themes becomes increasingly difficult when you’re not specific enough.
Every business strives for this kind of ideal personalization. It’s a challenge, but also an opportunity that brands face in a hyper-competitive, digital-driven world moving at the speed of AI.
Over years of digging into how inclusion is personalization, I’ve found that the answers may be simpler than they appear. It’s possible to achieve higher engagement and conversions by approaching personalization with inclusive, human-centric data insights to reimagine audience engagement. And the inclusive insight that’s common to all humans is rooted in having emotional intelligence with your audiences.
In part 1 of this series, I discussed the nexus of untapped value to be the intersection of generative AI, inclusion, and personalization. Let's continue the conversation about the mechanisms to tap into that value with insights based on our study, The Psychology of Inclusion and the Effects of Advertising.
I’ll share how to reimagine audience engagement with emotional intelligence, also known as emotional quotient or EQ.
Resonate with audiences through personalization built on trust
To build a personalized marketing campaign that resonates with more audiences, start by using inclusion as a source of insights to build connections. Here are some important considerations to this approach as it relates to audience engagement.
Inclusion equals trust
Neuroscience tells us humans cannot make a decision—like purchases—without accessing their emotions. So, it’s no wonder that business growth is influenced by feelings. In fact, 70% of buying decisions are driven by emotion, including brand preferences.
And according to our research,
How much does trust matter in buying decisions?
According to the Edelman Trust Barometer, 71% of consumers say it’s more important than ever to trust the brand they buy or use. In looking at generational differences, Gen Z—a key segment for growth-minded brands—rated this even higher at 79%. Additionally, 85% of consumers say they’ll only consider a brand if they trust it.1
Audiences likely won’t emotionally connect without trust. For example, when companies present themselves as environmentally friendly without substantial evidence to back up their claims, it can erode consumer confidence and damage the brand’s reputation. Trust is earned in drops, but lost in buckets.
And trust doesn’t just elevate a brand as preferred. Trusted brands can net higher margins, as 46% of consumers said they would spend more with them. Companies understand this value of trust, with 93% of business leaders agreeing that developing and maintaining customer trust improves revenue.
The pillars of trust-building and inclusivity
Creating trust isn’t easy, but greater personalization is a highly accessible avenue to it. Personalization strengthens the relevance of advertising, increasing its impact. However, this engagement is met with many failures, as 76% of people say brands miss the mark in relevance.
That's why my critical components of trust-building with inclusive advertising campaigns include:

Three pillars of trust-building in inclusive advertising: universal human-centric appeal, clear brand inclusivity, and broadening beyond niche audiences.
Tapping into emotional intelligence for high quality personalization
Trust may be the foundation, but it’s not everything. In fact, our research has identified 12 inclusive emotions in advertising that contribute to purchase intent.1
These include the two main feelings of joy and trust along with the underlying feelings of certainty, contentment, celebration, zest, relaxation, acceptance, clarity, confidence, relief, and safety. Of these underlying feelings, acceptance, clarity, confidence, and relief create both trust and joy.

A Venn diagram titled "12 Inclusive feelings – EQ for brand trust, love and loyalty." It shows two overlapping circles labeled "Joy" and "Trust."
While this may seem overwhelming taken together, there’s no expectation for audiences to feel all 12 feelings at the same time. Campaigns can be developed to invoke certain emotions with representation, specific keywords, and tailored CTAs that are aligned to product and brand truths and promises you can keep.
So what are the “right” feelings that create trust, love, and loyalty in your audiences?
Each emotion is unique, yet all provide introspective insight—any of these emotions can contribute to a more personalized and inclusive advertising experience. When your advertising truly resonates, the primary feelings produced by inclusion are joy and trust. But the goal is to evoke feelings mapped to your product truths or brand promises that solve a person’s problem, meet their needs, or satisfy their wants.
Since making decisions requires accessing emotions, it’s necessary to understand how your customers feel and reimagine engagement accordingly. For example, the emotions you should seek to evoke depend on the needs of your audience, product truths, and overall goals. This is where the future of personalized audience engagement using EQ ties back to generative AI.
How to apply the 12 feelings of inclusion to reimagine your advertising
Step 1: Know your customer pain points by leveraging inclusive data sets and your researched customer personas.

Areas where customers may experience negative emotions such as doubt, discontent, anxiety, guardedness, feeling unaccepted, confusion, uncertainty, feeling unsafe, distrust, or apathy.
Step 2: Identify your product truths that can solve these pain points and consider how they align with the 12 feelings of inclusion. You can ask Copilot to help you map these feelings to your customer personas’ reasons for buying your product category.

The image poses a motivational question to businesses and marketers, asking if their marketing, product, service, or experience can make customers feel confident, content, joy, trust, celebrated, accepted, relaxed, clarity, certain, relief, safety, or zest.
Step 3: Write ad copy with a tone that conveys the corresponding feeling(s) of inclusion that your product authentically delivers because it solves the original customer pain point.
Actionable Tip: An Example Prompt
Here’s how to write a prompt for generative AI (like Copilot) to help you execute this tactic in your search marketing campaign:
“The brand Contoso sells widgets and has a marketing segment called ‘Make me believe.’ These people are not yet customers, but use widgets because it makes them feel confident, helps them stand out, and makes them feel like they belong.
Consider that when a person experiences an inclusive ad, they could feel one or more of the following feelings: joy, trust, certainty, contentment, celebration, zest, relaxation, acceptance, clarity, confidence, relief, or safety.
Could you identify which feelings align to the reasons the “Make me believe” segment uses widgets and then write up to 5 Microsoft Advertising search ads to make them feel the aligned inclusive feeling in each of the ads?”
How personalized ad creative builds trust, loyalty, and love
Besides the 12 feelings of inclusion, there are other ways to source inclusive insights for context, needs, and wants—all tightly related to EQ in advertising.
The following categories of inclusive data sources can power generative AI personalization efforts across market analysis, customer insights, and content creation to boost your brand’s EQ.

The six data sources for personalization: Building trust, love, and loyalty through inclusive design, language, imagery, and emotion.
As I’ve noted previously in part 1 of this guide, generative AI is an ideal tool to enable data sources that deliver personalization and build trust, love, and loyalty in an efficient manner. It is only limited by your imagination, so get into action and start exploring its power to produce with you.
Powering search advertising with personalization
Consider the viewpoint that trust is the baseline, and once developed, brand love and loyalty begin to take shape.2 Therefore, we propose that inclusive personalization in search advertising can create trust and lead to loyalty, a future revenue growth indicator.
Scaling and building these trust elements with data can create opportunities to use generative AI in a purposeful way. Capitalizing on generative AI-based search advertising technology with some of these factors built in can improve performance by creating more meaningful interactions.
For example...
- Internal Microsoft Copilot data reveals that Multimedia ads perform better than regular search campaigns. The results are 2.8x better when using Performance Max with Copilot compared to using Performance Max alone.3
- Responsive search ads and Performance Max campaigns deliver personalized content based on intent signals and audience data.
- Performance Max dynamically serves multimedia ads that reflect browsing behavior.
- Copilot delivers branded answers and tailored content aligned to a searcher's questions, combining organic and sponsored content for deeper purchasing decision support.
- In Ads Studio, Copilot can help scale content production with on-brand, AI-generated creative variations.
- Ad automation can detect purchase intent and serve up optimized creative at just the right moment, seamlessly connecting the experience across desktop and mobile.
Generative AI can serve as the path to personalization, but building trust based on greater relevancy requires advancing personalization by using inclusive insights. Embracing the future of personalization and the future of search means experimenting with AI-powered ad features and adding inclusive insights to drive engagement with real-time and context-aware AI.
Inclusive EQ at scale: The possibilities are endless with generative AI
Combining the 12 feelings of inclusion with generative AI is the catalyst for scaling EQ in your advertising.
Generative AI can transform how marketing teams create content as long as it’s used responsibly and aligned to advertising truths. According to the American Marketing Association, the top uses of generative AI are content creation and writing—and among the benefits cited, 52% of marketers say it's improved content quality and performance.
Just imagine if you supercharge your efforts by applying sound EQ strategies.
So how is this possible at scale? What methods and technologies can you use to ensure repeatable processes that generate inclusive, personalized content that drives high performance? You can learn how to do this with Copilot in my extensive how-to, Inclusive prompt engineering: How to boost your ad performance with better copywriting.

Blueprint for inclusive ad prompts: 7 elements to personalize and elevate performance with AI.
And in part 3 of the Future of AI Personalization Is Inclusive series, I’ll focus on audience representation in your customer analytics. I’ll map out how to leverage an inclusive marketing model supported by generative AI to further harness the nexus of untapped value and business growth.
[1] Accelerating Brand Performance Through Trust, Love and Loyalty, Microsoft Advertising.
[2] The Psychology of Inclusion and the Effects in Advertising, Microsoft Advertising.
[3] Microsoft First-Party Data, October 2024 to February 2025.

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