At A Glance
Psympl explains how psychographic data improves financial marketing by revealing consumer motivations. This Q&A covers how tools like the Consumer Console™ and Psymplifier™ help financial institutions target, engage, and retain customers during the Great Wealth Transfer. The interview ends with practical steps for starting psychographic segmentation.In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Brent Walker, Co-Founder and Chief Strategy Officer at Psympl.
What value does psychographic data add to financial marketing?
Demographic data tells financial marketers WHO a consumer is (like age, gender, or income), but it doesn’t predict decisions. Behavioral data shows WHAT a consumer does, but people can take the same action for different reasons. Understanding these reasons helps marketers engage consumers more effectively.
Psychographics reveal people’s attitudes, values, lifestyles, and personalities, the core of their motivations. This layer helps marketers understand WHY people act, anticipate needs, and connect in more meaningful ways.
This matters now as the “Great Wealth Transfer” unfolds: $124 trillion will be transferred from older to younger generations by the 2040s. Psychographics vary widely across generations, and up to 80% of heirs may switch financial institutions.
Using psychographic insights gives financial marketers a competitive edge during this historic wealth shift.
How can marketers apply Psympl Financial Segmentation?
Psympl Financial Segmentation groups households into five psychographic profiles, each with distinct approaches to money, investing, and engagement with financial advisors.
Psympl’s platform, the Consumer ConsoleTM, offers reference materials for understanding and engaging each Financial Segment, as well as access to extensive market research data conducted with Ipsos on the Segments to inform marketing strategy and campaign planning.
Psympl collaborates with Experian to map psychographic segments for all U.S. adults over 18. This allows financial services brands to enrich their consumer databases and find target customers based on psychographic, demographic, and socioeconomic profiles.
Experian Marketing Data also powers Psympl’s Geo-Targeting tool, which heatmaps the U.S. by psychographic segments down to the zip code, with filters for demographics, socioeconomic factors, and household counts.
Psympl’s platform also includes the PsymplifierTM, which uses Psychographic AITM to create, analyze, and rewrite marketing content tailored to specific segments or generate new content from simple prompts.
How do Psympl and Experian aid targeting strategies?
Psympl and Experian support targeting strategies by connecting psychographic insight with consumer data, geography, and channel preferences. That combination gives financial institutions a more actionable view of who to target, where to reach them, and what message is likely to resonate.
By connecting psychographic insights with consumer data, geography, and channel preferences, Psympl and Experian show financial institutions who to target, where to reach them, and what message will resonate, forming the foundation for effective targeting.
For example, a bank can pinpoint areas with consumers who prefer in-person service. Psympl’s Consumer Console™ highlights the Guided Mindset segment, those seeking expert financial help with $250,000+ in assets, as prime prospects. Psympl’s Geo-Targeting feature, powered by Experian Marketing Data, heat-maps where Guided Mindset households with $250,000+ in assets are concentrated.
In this example, one location stands out with a high representation (41.9%) and concentration (10,796 households) of the targeted Guided Mindset segment with $250,000+ in investable assets, shown in orange on the heat map. While nearby areas are dominated by Ambitious Mindset (blue) or Performance Mindset (green), the data suggests that ZIP code 45208 is an excellent candidate for a new branch, supported by targeted print, outdoor, or digital marketing.
Beyond location, Psympl’s research and Experian TrueTouch help firms choose the best channels for each segment and predict responses to direct mail, email, digital, and broadcast channels. Enriching customer databases with Psympl segments lets firms tailor messages—like notifying Guided Mindset customers about new locations, and use the Psymplifier™ to quickly generate targeted marketing content.
What are the top use cases for psychographic profiles?
By addressing customer motivations and priorities at every stage, organizations drive consistency, align communications, and deliver on customer expectations, whether acquiring, retaining, or upselling clients.
Relationships with Baby Boomer clients often do not carry over to younger heirs, who typically have Ambitious and Hopeful Mindsets instead of the Guided, Performance, and Self-Reliant Mindsets more common among older generations. Psychographics reveal these generational differences, distinct needs, values, and engagement preferences, so firms can anticipate, address, and communicate more effectively across generations.
Tools like Psympl’s Consumer Console and Psymplifier, combined with Experian TrueTouch Engagement data, equip financial professionals to tailor interactions and marketing content to each segment’s unique preferences, maximizing impact and receptivity.
Firms that fail to adapt to the needs and preferences of younger generations will inevitably lose AUM. The Psympl platform, enhanced by Experian data, positions organizations to turn The Great Wealth Transfer into an opportunity rather than a threat.
How can banks, credit unions, and wealth marketers start using psychographic segmentation?
Building a psychographic segmentation model is resource-intensive and challenging to scale, but Psympl’s collaboration with Experian addresses these challenges. After 20 years leading psychographic initiatives at Procter & Gamble, I wish I’d had Experian’s data and capabilities; they make planning and measurement much easier.
To start, enrich your CRM with Psympl psychographic Financial Segments from Experian. Analyze your customers to see which segments are over- or under-represented, revealing strengths and growth opportunities. Identify which segments most use specific products to target Prime Prospects. Then set a campaign goal and test psychographic messaging against a control group or with pre- and post-measures. Start small, earn, and adapt as you go.
Once you see results with relevant, psychographic-based content, expand this approach to prospecting, customer experience, and other applications.
Where can readers learn more?
I appreciate this opportunity! To learn more, readers can visit the psympl.com website, and more specifically, the Resources Page on the website, which includes videos, whitepapers, and guides for utilizing the Psympl psychographic Financial Segments for customer acquisition, retention, and enhanced engagement.
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About our expert
Brent Walker, Co-Founder and Chief Strategy Officer, Psympl
Brent Walker is Co-Founder and Chief Strategy Officer for Psympl, helping wealth management firms, banks, credit unions, and financial services enhance customer acquisition, retention, and cross-sell initiatives. Brent started his career in Brand Management at Procter & Gamble, and over 20 years he led teams in product management, customer marketing, and psychographic segmentation initiatives. In 2012, he cofounded his first company focused on psychographics in healthcare, which saw a series of multiple acquisitions. Brent has delivered a variety of publications covering critical marketing topics, featured in Forbes, The Ohio Bankers League, The Commonwealth Fund, and Healthcare Finance.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine’s Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext’s custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company’s strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext’s offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext’s Onboarding partnership with Experian, offering perspective on how Kontext’s unique insights can unlock new opportunities for advertisers and brands alike. Latest posts
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