Financial CX: 68% Demand Trust in 2024

Rebuilding customer trust in finance is the whole game now. Since 2020, people are watching their banks and investment firms like hawks. It’s not just a feeling. A 2024 Accenture report found that 68% of customers now have higher expectations for transparency and ethical behavior, a huge jump from before the pandemic. With this new level of scrutiny on every interaction, this demand means institutions must re-evaluate engagement strategies. So, how can a real CX strategy, using the marketing tools we already have, actually address these expectations?

Step 1: Unify Customer Data for a Well-rounded View

A consolidated, accurate view of each customer is key to rebuilding trust. If your data is all over the place, the customer experience will be too, and that kills confidence. My experience tells me that financial institutions often struggle with this, having data siloed across legacy systems and newer digital platforms. A strong Customer Data Platform (CDP) is necessary for understanding customer behavior and preferences in 2026.

1.1 Configure Your Customer Data Platform (CDP)

Start by picking a CDP that actually works with what you’ve already got. Platforms like Segment (segment.com) or Tealium (tealium.com) are good places to look. After you’ve made a choice, the real work of connecting all your data sources begins.

1. Go to your CDP’s administration panel, which is usually just called Settings or Admin.
2. Find the Sources area. This is where you’ll add connections to your CRM (e.g., Salesforce, Microsoft Dynamics 365), marketing automation platforms (e.g., HubSpot, Marketo), website analytics (Google Analytics 4), and any core banking or loan origination software.
3. For every source, you’ll need to follow the CDP’s specific instructions for API keys or authentication tokens. It often involves granting permissions within the source system itself. Connecting Salesforce, for instance, will likely require creating a connected app just to get a consumer key and secret.
4. Once a source is connected, you have to configure the data ingestion rules by mapping fields from that source to your unified schema in the CDP. You absolutely have to get the unique identifiers right (like customer ID or email address) to make sure you’re stitching together the same person’s data from different platforms.

Pro Tip: Don’t try to ingest every single data point at once. Prioritize data that directly impacts trust, like transaction history, communication preferences, and past support inquiries. Overloading the CDP with irrelevant data complicates segmentation and slows processing. Failing to establish clear data governance policies upfront leads to data quality issues down the line.

Expected Outcome: You’ll have unified customer profiles that pull together every interaction, giving you that 360-degree view you need to actually understand their journey and sentiment. This is the only way you can start to address their real concerns and build back trust.

Step 2: Implement Advanced Analytics for Trust Signals

Understanding trust requires more than basic website metrics. You have to track specific “trust signals” and customer sentiment across all your digital channels. This involves configuring advanced analytics tools to capture granular data.

2.1 Configure Google Analytics 4 (GA4) for Trust-Related Events

GA4’s event-driven data model is perfect for tracking nuanced customer interactions that indicate trust. My advice to financial firms is always the same: stop obsessing over page views and start tracking the explicit and implicit signals customers are giving you.

1. Log into your GA4 property at analytics.google.com and head to Admin in the bottom left.
2. Go to the Data collection and modification section and click on Data Streams, then select your main web data stream.
3. In the data stream details, click Configure tag settings, then click Show all to see more options.
4. Click on Define custom events. This is where you’ll create new events that signal trust or concern. For example:
   • form_submission_security_query: Fires when a user submits a contact form asking about data security.
   • document_download_terms: Fires when someone downloads your long terms and conditions or privacy policy documents, showing they’re doing their homework.
   • faq_view_trust: Fires when a user looks at FAQs about account security or fraud.
   • survey_completion_feedback: Fires when a customer finishes a feedback survey, especially one asking about trust and satisfaction.
5. For each custom event, you’ll need to define its name and the conditions that trigger it, which is usually done in Google Tag Manager (tagmanager.google.com) by specifying a button’s CSS selector or a page’s URL path before importing it into GA4.

Pro Tip: If an event is a strong signal of trust gained or lost, mark it as a conversion in GA4. This connects your trust-building efforts directly to business goals. Creating too many generic events without clear objectives is a pitfall. Focus on events that correlate with customer reassurance or apprehension. You should aim for a tangible increase in positive trust-related events (like reading security FAQs) and a decrease in negative ones (like repeated visits to the “how to complain” section).

Expected Outcome: You’ll get granular data on how customers engage with your trust-related content, which identifies exactly where your messaging is unclear or where people need more reassurance. This gives you quantitative proof of how well your CX work is addressing trust.

2.2 Set Up Sentiment Analysis for Social Media and Reviews

Customer sentiment on social media and review sites provides an unfiltered view of trust. This is where tools like Brandwatch (brandwatch.com) or Sprinklr (sprinklr.com) are useful.

1. Inside your sentiment analysis tool, go to the Listening or Monitoring dashboard.
2. Build a new project that’s focused just on your brand and your main competitors in the finance space.
3. Define your search queries to include your brand name, common misspellings, product names, and keywords like trust, security, fraud, customer service, reliability, and data privacy. Think: “YourBank + fraud,” “YourBank + data breach,” or “YourBank + customer service.”
4. Set up your sentiment scoring rules. Most platforms offer pre-built sentiment models, but you have to customize them for financial services jargon. A word like “chargeback,” for example, isn’t always negative, and the out-of-the-box model might not know that.
5. Create alerts for any big shifts in sentiment, like getting a notification if negative mentions about “security” jump by 10% in 24 hours. This lets you get ahead of a potential crisis.

Pro Tip: You have to constantly update your keywords and sentiment rules. Language evolves. Negative sentiment today might be neutral tomorrow. I’ve seen big institutions completely miss a brewing crisis because their keyword lists were a year old. Also, monitor key competitors to understand industry-wide trust issues and benchmark your performance.

Expected Outcome: You get real-time insights into how the public perceives your trustworthiness, which allows for proactive reputation management and lets you target communications to fix specific concerns before they blow up.

Step 3: Personalize Communications with Trust-Building Messaging

With a unified customer view and insights into their trust signals, you can finally start tailoring your communications. Generic messages, especially in financial services, do little to build trust. Personalization is key.

3.1 Segment Customers Based on Trust Indicators

Go into your CDP and build dynamic segments that group customers by how they interact with your trust-related content, their sentiment, and where they are in their journey with you.

1. Open your CDP’s Segmentation module.
2. Create segments like these:
   • “Security-Conscious New Customers”: New users who keep viewing security FAQs or downloading privacy policies.
   • “At-Risk Customers (Sentiment)”: Customers with recent negative social media posts or survey answers about your service or data privacy.
   • “Loyal Customers (High Trust)”: Long-time customers with high engagement and consistently positive feedback.
   • “Recent Service Inquiry”: Anyone who recently contacted support, no matter what the outcome was.
3. Build the rules for each segment from your unified data. For example, the “Security-Conscious New Customer” could be defined as “account creation date < 90 days" AND "GA4 event: faq_view_trust > 3 times in last 30 days.”

Pro Tip: These segments should be dynamic, updating automatically as customer behavior changes. Stale segments lead to irrelevant communications, which can damage trust further. I’d argue that the biggest mistake here is creating static segments that don’t reflect the fluid nature of customer sentiment.

Expected Outcome: You’ll have well-defined customer groups based on their trust profile, which allows for highly targeted and relevant communication.

3.2 Automate Personalized Trust-Building Journeys

Now use your marketing automation platform to send out personalized messages that are explicitly designed to reinforce trust, like reassuring people about new security features or being transparent about service updates.

1. Inside your marketing automation platform (e.g., HubSpot (hubspot.com), Marketo (adobe.com/marketing/marketo.html), or Salesforce Marketing Cloud (salesforce.com/products/marketing-cloud/overview/)), open up the Journey Builder or Workflow Automation tool.
2. Build new customer journeys for your trust-based segments. For your “Security-Conscious New Customers,” a journey could look like this:
   • Email 1 (Day 3): “Welcome to [Bank Name]! Here’s how we protect your data,” with a link to your security policy and a short video on setting up two-factor authentication.
   • Email 2 (Day 10): “Tips for keeping your account secure,” offering practical advice and a one-click link to report suspicious activity.
   • In-App Message (Day 20): A pop-up message that points out a new security feature.
3. For your “At-Risk Customers (Sentiment)” segment, the journey might trigger a personal email from a customer service manager that acknowledges their issue and provides a direct line for resolution.
4. A/B test everything in these journeys. Test subject lines, calls to action, and content to see what actually works with your audience to improve open rates and click-throughs, using clear and empathetic language.

Pro Tip: Make sure every single communication has a clear path to get help or more information. You build trust by being accessible and responsive. Don’t just tell customers you’re secure. Show them and give them avenues to ask questions. I often see institutions send out “security updates” that are highly technical and lack clear next steps for the customer. That’s a missed opportunity to build confidence.

Expected Outcome: You should see higher engagement with your trust-focused content, lower churn from your at-risk segments, and a real improvement in overall satisfaction, backed by better Net Promoter Scores (NPS) or CSAT scores. A 2025 eMarketer (emarketer.com) survey noted that this kind of personalization can boost customer retention by up to 25% in finance.

Step 4: Measure and Iterate Continuously

Rebuilding trust is an ongoing process. Continuous measurement and iteration adapt to changing expectations and market conditions.

4.1 Create a CX Trust Dashboard

Pull all of your trust-related metrics into one dashboard using a tool like Google Looker Studio (lookerstudio.google.com) or Tableau (tableau.com) so you can see the whole picture.

1. Connect your GA4 account, CDP, sentiment tool, and CRM data to your dashboarding tool.
2. Your dashboard should include these key performance indicators (KPIs):
   • Sentiment Score: Track this overall and for specific keywords like “security” and “service.”
   • GA4 Custom Event Completions: Keep an eye on events like form_submission_security_query, document_download_terms, and survey_completion_feedback.
   • Customer Churn Rate: Monitor this closely for your at-risk segments.
   • NPS/CSAT Scores: Pull these directly from your surveys.
   • Website Engagement with Trust Pages: Look at time on page and bounce rate for your security and privacy sections.
   • Support Ticket Volume: Filter for tickets related to trust and security.
3. Set the dashboard to refresh daily so you’re always working with current data.

Pro Tip: Don’t just present raw numbers. Visualize trends over time and compare them against benchmarks or previous periods. The point of a dashboard is not just to see the data, but to understand what it means and what action to take. A sudden dip in sentiment or an increase in security-related support tickets should trigger an immediate investigation.

Expected Outcome: You’ll have a real-time overview of your institution’s trust performance, which enables data-driven decision-making and a rapid response to any problems that pop up.

4.2 Schedule Regular Review and Optimization Sessions

Put trust on the agenda for your regular marketing and CX team meetings. Look at the dashboard, talk about what you’re seeing, and plan your next moves.

1. Get stakeholders from marketing, customer service, product, and compliance in a room together every week or two.
2. Go through the trends on your CX Trust Dashboard. Find what’s working, what’s not, and any weird anomalies.
3. Based on that data, decide on specific optimizations for your email journeys, website content, or even product features. For instance, if you see a spike in security questions right after a product launch, you probably need better onboarding communications for that product.
4. Write down the changes you’re making and what you expect to happen, then track the results on your dashboard to see if you were right.

Pro Tip: Foster a culture where trust is everyone’s responsibility. Your compliance and legal teams play a huge part in making sure your trust-building communications are accurate and meet regulatory requirements. I’ve found that organizations with cross-functional teams dedicated to CX and trust tend to outperform those where it remains siloed.

Expected Outcome: You’ll create a continuous cycle of improvement, which ensures your institution stays responsive and maintains a strong foundation of trust. This iterative process is what genuinely embeds trust into your operational DNA.

Establishing and maintaining customer trust in the post-pandemic financial services field is a continuous, data-driven endeavor. Unifying data, using analytics, and personalizing communications rebuilds customer relationships. Prioritize transparency and responsiveness. This approach is key to FinTech marketing success and ensuring long-term growth. Also, consider how Digital PR can boost brand trust and support these efforts.