“Decoding Decisions: Making Sense of the Messy Middle” by Think with Google delves into the complexity of modern consumer decision-making, emphasizing that the purchase journey isn’t linear or predictable. Rather, it’s a “messy middle” of exploration and evaluation, where consumers loop through various stages before committing to a choice. The study breaks down two essential modes of behavior in this middle phase: 

1. Exploration – Consumers search for information and expand their knowledge, looking for options and potential solutions. 
2. Evaluation – Consumers narrow down choices, assess options, and seek confidence in their final choice. 

Within these modes, the report highlights six psychological biases that can influence decision-making in this messy middle, including social proof, authority bias, power of free, and scarcity bias. It is important to note that this is an infinity loop, not a set number of interactions.  Potential customers can and will shift between each psychological bias and back again any number of times.  It can take days, weeks or even months to come to a decision. 

The study underscores that brands can optimize for success by helping consumers navigate this messy middle more seamlessly, making information easy to access, simplifying evaluations, and building confidence to drive conversions. 

Making it work for you 

The principles from “Decoding Decisions” can be leveraged in AI-driven programmatic marketing by targeting consumers with precision in their messy middle journey, using AI and custom algorithms to drive engagement and influence decision-making through relevant and timely interventions. Here’s how: 

1. Dynamic Exploration and Evaluation Signals: AI can analyze real-time browsing and engagement data to detect when a consumer is in exploration vs. evaluation mode. For example, AI can assess browsing behaviors (like comparing product pages or engaging with reviews) and then adjust messaging and content to support consumers accordingly, providing more exploratory content for the undecided or reassurance for those nearing a decision. 
2. Personalized Content Delivery via Bias Signals: AI can use psychological biases effectively in programmatic marketing. By identifying preferences and behaviors, it can strategically incorporate social proof (such as showing popular products), scarcity (like limited-time offers), and authority (featuring reviews or expert endorsements) to align with the biases noted in Google’s study. This approach nudges consumers in real-time toward making decisions with less friction. 
3. Responsive Audiences Built on Real-Time Insights: Audience-building in the messy middle can be driven by AI analyzing real-time data to construct highly responsive segments. For instance, users engaged in comparison-shopping behaviors could be targeted with personalized ads offering product comparisons or special offers to ease the evaluation phase. This level of granularity in segmentation aligns well with MarketStorm’s model of building audiences based on real-time data rather than relying on static third-party models. 
4. Adaptive Messaging Based on Journey Stage: Programmatic AI can adapt ad content dynamically depending on the user’s journey stage. In the exploratory phase, ads might focus on informative content, storytelling, or unique value propositions. As the consumer moves to evaluation, AI can switch to displaying product benefits, pricing, or customer testimonials, addressing specific decision-making biases like authority and social proof. 
5. Cross-Platform Cohesion: AI-driven programmatic marketing can maintain a cohesive experience across devices and platforms. Since consumers in the messy middle often switch between devices and information sources, AI can ensure that messages adapt across each touchpoint, building a seamless narrative that supports exploration and evaluation. 

By deploying AI to recognize and address the nuanced needs of consumers within the mid funnel where MArketStorm’s approach to programmatic marketing can better align messaging, optimize bids based on intent, and enhance the user experience—boosting engagement and conversions in a structured yet responsive way. 

How MarketStorm’s Proprietary AI-Driven Programmatic Marketing Can Help Brands Succeed in the “Messy Middle” of Consumer Decision-Making 

As we have discussed, consumers don’t just jump from awareness to purchase—they spend time in a complex middle ground where they explore and evaluate options before finally making a decision. This “messy middle” is where brands have the opportunity to stand out and build connections, yet it’s often where many lose potential customers to competing options. Here is how we can help.

1. Understanding Consumer Intent in Real-Time

In the messy middle, customers engage in cycles of exploration (searching for information, researching options) and evaluation (comparing features, prices, and benefits). MasrketStorm’s proprietary AI is built to recognize when a consumer is exploring or evaluating based on real-time behavior. For example, a customer scrolling through multiple product options may be in exploration mode, while someone reading detailed product reviews or viewing side-by-side comparisons is likely evaluating. 

Beyond the Funnel – How the Consumer Conversion Journey Has Evolved 

In the early days of digital marketing, the customer journey was often illustrated as a straightforward funnel: consumers became aware of a product, showed interest, considered their options, and eventually made a purchase. While this linear funnel concept once worked well for understanding decision-making, today’s consumer journey has evolved into something much more intricate and multi-layered. This evolution is captured through the idea of the “messy middle,” where exploration and evaluation intersect unpredictably. 

Why the Simple Funnel No Longer Fits

The classic funnel approach assumes that consumers progress in a predictable, step-by-step manner toward a purchase. Yet, in reality, today’s consumers are rarely this straightforward. Armed with vast amounts of information, they no longer follow a single, clear path from awareness to purchase. Instead, they jump back and forth, comparing brands, reading reviews, seeking recommendations, and often starting over if a new option catches their eye. The Decoding Decisions study describes this as a loop where exploration (searching for options) and evaluation (comparing those options) feed into one another, sometimes indefinitely. (See figure 1) 

With so much choice, today’s consumers are more likely to experience decision fatigue and hesitate to make a final choice. The challenge for marketers is to recognize where each consumer is in this journey, even when it doesn’t follow a neat sequence. 

By understanding this intent, AI-driven programmatic marketing can adapt ads accordingly—whether showcasing educational content to help a consumer learn more or sharing comparison ads that make evaluating choices easier.

2. Leveraging Key Decision-Making Biases

Think with Google’s study highlights six psychological biases that shape decisions in the messy middle, such as social proof, scarcity, and authority bias. AI can detect which of these biases may resonate with individual consumers and tailor messages that align with them. 

For example, AI can dynamically insert customer reviews or show “Most Popular” labels on ads, leveraging social proof to build trust. For consumers who respond to scarcity, AI can trigger limited-time offers or highlight stock availability to create a sense of urgency. This type of smart messaging aligns naturally with how people make decisions in the messy middle.

3. Building Adaptive Audiences

One of the most valuable aspects of MarketStorm’s AI in programmatic marketing is its ability to build dynamic, adaptive audiences. Instead of relying solely on static third-party audience data, MarketStorm’s AI uses real-time data to build segments based on current interests and behaviors. For example, if a user shows high engagement with comparison content, they can be automatically added to an audience for product comparisons, where they’ll receive targeted ads focused on helping them make an informed choice. 

This ability to adapt instantly is crucial. Not only does it help brands target more precisely, but it also builds a stronger connection with consumers by showing content that feels truly relevant to them in that moment.

4. Guiding Messaging by Journey Stage

To make a real impact in the messy middle, your programmatic marketing needs to meet the customer with the right message at the right stage. With MarketStorm’s AI, brands can automatically adjust their messaging for each consumer’s journey stage. A consumer in exploration mode might receive ads focused on product benefits, brand values, or success stories, while someone closer to purchase could see ads with specific product features, prices, or customer testimonials. 

The flexibility of this AI to adapt in real time means brands can maintain a cohesive, responsive journey that feels personalized and helpful, no matter where the consumer is in their journey.

5. Creating a Seamless Cross-Platform Experience

As consumers navigate the messy middle, they move across devices and channels. MarketStorm’s AI-driven programmatic marketing keeps up, ensuring a consistent experience across these touchpoints. Whether the consumer is browsing on their phone, tablet, or desktop, our AI ensures that they see messages that feel relevant and connected to their previous interactions, guiding them with continuity and clarity. 

Turning the Messy Middle into a Winning Opportunity

The messy middle is where today’s brands can win or lose customers. By using MarketStorm’s AI to tailor ads and messaging in real time, brands can engage consumers in a way that feels personal, relevant, and genuinely helpful. In a space filled with options, this level of responsiveness and precision can set brands apart, building trust and nudging consumers toward confident decisions. 

For brands that embrace the power of this level of AI in programmatic marketing, the messy middle becomes less daunting—and more like a golden opportunity. With a well-placed ad, a relevant message, or a personalized offer, our AI transforms uncertainty into engagement and connection, helping brands thrive where it matters most. 

Beyond the Funnel – How the Consumer Conversion Journey Has Evolved 

Once upon a time, marketers relied on a simple funnel to map out the consumer journey: from awareness to interest, and finally, to conversion. And for years, we embraced the familiar “seven-touch” rule, believing that consumers needed about seven interactions with a brand before making a decision. But today’s consumers are anything but predictable, and this linear approach has evolved. Google’s Decoding Decisions study highlights the complexity of today’s non-linear consumer journey—the “messy middle”—where exploration and evaluation happen in a chaotic, looping process. 

In this final part of our series, we’ll look at why the old funnel model and “seven-touch” approach no longer apply. We’ll also discuss how the traditional last-click attribution model fails to capture the impact of ads on consumers’ winding journey—and how AI-driven programmatic marketing can adapt to this new, dynamic reality. 

The “Seven-Touch” Model and the Last-Click Fallacy 

In traditional marketing, the “seven-touch” rule posited that consumers needed about seven interactions with a brand before they were ready to buy. In today’s messy middle, however, consumer behavior is far more complex. Interactions don’t follow a neat path, nor are they limited to a set number. Consumers might experience dozens of touchpoints or loop back to the same brand multiple times as they switch between exploration and evaluation. 

With this shift, relying on last-click attribution—where the final interaction before a purchase is credited for the sale—no longer provides an accurate picture of ad effectiveness. The last touchpoint may be an ad or social post, but the journey that led to that conversion likely involved many other steps, such as review sites, search engines, and previous brand interactions. Brands need to consider the cumulative impact of these touchpoints, rather than focusing on the last one alone. 

Why the Simple Funnel No Longer Fits 

The classic funnel approach assumes consumers move predictably from awareness to purchase. Yet, equipped with a constant flow of information, today’s consumers no longer follow a clear-cut path. They loop back and forth, reconsidering choices, seeking opinions, and sometimes returning to the drawing board. Google’s study describes this as a repeated cycle of exploration (searching for options) and evaluation (comparing those options), leading to what can seem like an endless decision loop. 

With so many choices and touchpoints, consumers today often experience decision fatigue. The challenge for marketers, then, is to guide consumers effectively within this messy middle, helping them to feel confident and informed throughout. 

A New Model: The Dynamic, Cyclical Journey 

Instead of a straightforward funnel, today’s consumer journey resembles a dynamic, cyclical model characterized by: 

1. Continuous Exploration and Evaluation: Consumers loop through exploration and evaluation, influenced by new information and alternatives. This pattern means they might revisit a brand multiple times, considering and re-evaluating options as they go. 
2. Influential Psychological Biases: Think with Google’s study reveals how biases like social proof, scarcity, authority bias, and the power of free influence consumer decisions. Marketers can leverage these psychological drivers to build trust and confidence in consumers during exploration and evaluation, gently nudging them toward a final choice. 
3. Multiple Entry and Exit Points: In contrast to a linear funnel, today’s journey offers numerous points of entry and exit. A consumer might start with a social media ad, explore alternatives, drop off, and return later via search or a retargeted display ad. With so many paths available, marketers must ensure their messaging remains consistent and relevant across all touchpoints. 

How AI Enhances Mapping and Engagement in This New Journey

In this complex, looping journey, AI-driven programmatic marketing has become essential. Here’s how AI helps brands stay connected with consumers at each unpredictable turn: 

• Real-Time Intent Recognition: AI can assess browsing behavior to identify whether a consumer is exploring or evaluating and adjust ad messages accordingly. For instance, a consumer in exploration mode might receive ads showcasing product features, while a consumer nearing purchase could be served testimonials or promotional offers to encourage commitment. 

• Dynamic Personalization and Behavioral Biases: AI can identify specific psychological biases that drive decision-making and personalize ads to address them. For example, a consumer motivated by social proof might see ads featuring top-selling items, while those responsive to scarcity could receive limited-time offers. This approach brings relevance and urgency to the consumer journey in ways that build confidence and reduce hesitation. 

• Cross-Channel Cohesion: With today’s journey spread across multiple channels, AI helps maintain a seamless experience across devices and platforms. AI-driven programmatic ads ensure messaging remains consistent, building a cohesive narrative that reinforces a brand’s value at every touchpoint, whether it’s through a display ad, email, or social media. 

Embracing a Journey Beyond the Funnel and Last Click

As the customer journey moves further from a traditional funnel, marketers must embrace a more fluid and consumer-centric approach. By understanding how the “messy middle” works, brands can shift away from outdated rules and last-click models, instead focusing on the collective influence of multiple interactions. AI allows brands to analyze and respond to real-time intent, engaging consumers with the right message, at the right stage, and in the right context. 

In this evolving landscape, the journey no longer ends at the final click. Instead, brands need to cultivate a continuous connection, supporting consumers as they move through the messy middle and beyond. When brands engage authentically and respond dynamically, they turn the unpredictability of the modern journey into a genuine opportunity—transforming the complexity of choice into clear, confident conversions. 

Capturing the Complete Journey—from First Impression to Conversion

At MarketStorm, we go beyond traditional attribution to map out the entire consumer journey—from the first ad impression through to the final conversion, regardless of the platform where it happens. By tracking and analyzing each interaction across diverse channels—including valuable insights from Google-driven traffic—we reveal the true impact of every touchpoint, illustrating how various channels contribute to moving consumers closer to action. 

With a data-driven approach that captures every stage, from initial awareness to clicks, visits, and beyond, we empower brands with a holistic view. This means we can show real ROI, even when we’re not the last click, uncovering how engagements across multiple platforms shape intent and form the entire journey. Our insights maximize your brand’s influence, spotlighting the moments that matter most along the way.