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.
Contact us
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.
Latest posts
Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today
For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today
With the long-term effects to the economy unknown, many consumers are feeling the financial impact, while others are looking for opportunities, resulting in a transformational shift in spending. Some brands are experiencing decreased or paused marketing budgets, and you may be trepidatious about making the right decisions in your efforts to grow share of wallet. Recent events have been an impetus for change and we’re seeing brands make modifications to traditional marketing strategies. Some are developing innovative technologies and utilizing new sources of data and analytics. As we look at how these changes impact marketing results, we see the gap grow between those brands who are equipped to pivot and implement new strategies quickly, versus those who are not. So what steps can your organization implement now to make the smartest choices for both your customers and your business to secure more share of wallet? Here are four ideas to accelerate the success of your next financial marketing campaign: 1. Meet your customers wherever they are: Digital-first strategies have never been more relevant than they are right now. While consumers have fully embraced online engagement, marketers are even more focused on reaching high-value segments in the channels they utilize. By using an informed, data-driven strategy that includes preferred marketing communication channels and decision-making styles, engagement increases across those channels your target audience frequents the most. For example, are they heavy social media users? Do they prefer streaming TV? Or do they tend to rely on financial advice vs. performing their own research? To drive take rates, your audience must be exposed to a tailored message, in the right channel, and possibly multiple times. 2. Use messaging that resonates: As consumers refocus priorities, their expectations of brands with whom they do business are ever-increasing. Reflecting an understanding of the current needs and interests of your customers and prospects is an undertone that can only help strengthen their view of your brand. Consumer behavior has changed and is unlikely to revert to what was, so you want to be relevant, but you also do not want to be seen as ‘tone deaf’. As a result, consider revising your segmentation strategy to leverage predictive insights, such as household economic indicators, financial behaviors, lifestyle propensities and interests to help shape your message into one that truly makes an impact. 3. Prove the worth of your campaign: New consumer journeys are being formulated and showing ROI is imperative as your marketing budget is scrutinized. Having the right industry-relevant metrics and reports to analyze and share with leadership are key. Demonstrate that your campaigns are contributing to bottom-line success—and justify future campaigns—by using data-driven measurement insights collected across multiple reads and countless touchpoints. Marketing budgets are being scrutinized now more than ever, so showing ROI is critical. Having the right metrics and reports to analyze and share with leadership are key. 4. Follow government regulations—leverage Fair Lending-friendly audiences: Whether you’re cross-selling or prospecting, now is the time to identify the right audiences with rich data insights to not only execute impactful campaigns but adhere to government regulations that protect consumers and your organization. Trusting that the data you are activating follows Fair Lending Laws, including the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”) is crucial. The Federal ECOA prohibits creditors from discriminating against credit applicants on the basis of several prohibited factors. Developing people-based segments that are not derived using these factors positions you to follow these regulations. Check out our previous blog post about Fair Lending-friendly audiences here. As you transition to new operating models, access to current and accurate consumer data can provide confidence in campaign potential, help you avoid business risk, enable you to respond to market changes and make better decisions. Experian can help you implement these strategies and put your brand unique position for growth. From start to finish, we provide the marketing solutions you need to plan, build and execute successful, Fair Lending-friendly campaigns to cross-sell to existing customers and acquire new customers. *Experian Fair Lending-friendly audiences do not constitute legal advice or otherwise assure compliance with the FHA, ECOA, or any other applicable laws. It’s recommended to seek legal advice with respect to the use of data in connection with lending decisions or application and compliance with applicable laws. Contact us today