Traditional survey platforms send a link that opens a static form. The Tars AI agent delivers the survey as an interactive conversation within channels your cardholders already use — your website, mobile banking app, or WhatsApp. The conversational format delivers questions one at a time with adaptive branching, which produces significantly higher completion rates. It also analyzes responses in real time and can trigger immediate actions, like escalating a frustrated cardholder to your retention team, which static survey tools cannot do.

Yes. Tars is SOC 2 Type 2 certified and encrypts all data in transit and at rest. The platform supports GDPR compliance for institutions serving European cardholders and can be configured to meet PCI-DSS requirements when handling cardholder data. You control data retention policies, and all survey responses are stored in accordance with your institution's compliance framework. Audit logs are available for regulatory reporting.

Absolutely. The agent supports event-based triggering through integrations with your CRM or customer journey orchestration platform. Common trigger points include post-activation (after the first transaction), post-service interaction (after a call or chat with support), post-dispute resolution, and pre-renewal (30-60 days before annual fee billing). You can also deploy always-on surveys accessible from your credit card management portal for cardholders who want to provide feedback on their own schedule.

The agent supports multiple question types: Likert scales, NPS scoring, multiple choice, ranking, open-ended text, and conditional follow-ups. You can survey cardholders on rewards satisfaction, fee perception, mobile app experience, customer service quality, spending category preferences, and competitive comparison. Branching logic means each cardholder sees only the questions relevant to their responses, keeping surveys concise and relevant.

All responses flow into your existing analytics stack through integrations with Salesforce, HubSpot, or via Zapier to tools like Tableau, Power BI, or Google Data Studio. Each response includes metadata like cardholder segment, card product type, tenure, and channel of response. The data arrives structured and queryable, eliminating the manual coding and categorization step that slows down traditional survey analysis. Your team can build dashboards that update in real time as responses come in.

Yes. The agent collects structured quantitative data (NPS scores, satisfaction ratings, ranked preferences) alongside open-ended text responses. The AI analyzes open-ended feedback for sentiment and common themes, so your team receives both the numerical scores for trend tracking and the contextual commentary that explains why those scores are what they are. This dual approach gives product teams the statistical rigor and the narrative depth they need to make confident decisions.

Most institutions go live within one to two weeks. Setup involves configuring your survey questions, branching logic, and integrations with your CRM or analytics platform. Tars provides onboarding support to map your existing survey methodology into the conversational format. No coding is required, and you can update survey questions or logic at any time without redeployment.

Yes. You can deploy separate survey flows for each card product in your portfolio — premium rewards cards, cashback cards, secured cards, and business cards can each have tailored questions and branching logic. You can also segment by cardholder tenure, spending tier, or geography. The agent selects the appropriate survey based on the cardholder's profile data, so each respondent sees questions relevant to their specific product and relationship with your institution.