Convert by ORI for Credit Cards

Explore how Convert by ORI solves for use cases for Credit Cards

The Credit Card buyer Journey


Credit Card buyer journey and how Conversational AI solves for the same.

Credit Cards - Use Cases

Product Discovery and Awareness

How?

AI - led customer - product mapping to drive interactive personalization and scale. Recommend credit cards and products basis lead qualification and criteria. Position offering and drive product awareness based on exhibited and underlying behaviour triggers. Nudge the user towards closure with key behavioral and conversational insights that constantly learns and optimizes for quickest path to closure.

Impact

Can handle the delivery of over 100 billion messages per month, which are typically being delivered purely through text messaging. Nudge the customer with key offers and products to drive increased product awareness.

Lead capture and Qualification

How?

Using human-like and automated conversations to capture leads in a non intrusive manner. Faster lead collection and qualification processes leading to ease of document sharing and collection via chat interface. Advanced analytics layer syncing with Virtual agent to qualify lead and make credit risk decisions in real time.

Impact

Predictive analytics engine enables intuitive customer conversations to keep users engaged - lifting response rates by 30-40% and quicker response times. Nudging the user at key intervention points during the decision making and buyer journey. Sharing key information to drive the prospect to quick closure.

Dispatch and Onboarding

How?

Moving prospects to the next stage of funnel progression with enabling Card dispatch updates etc. Personalized behaviour and event dependent, rule-based and automated triggers to actively engage with customers in a relevant and persistent mode during the card dispatch phase. Seamless sync with other tech stacks to share live updates on process, dispatch and delivery.

Impact

Builds higher brand recall and loyalty - by enabling Top of mind recall. Regular updates on card processing, dispatch and delivery - ensures higher affinity leading to quicker 42% improved activation.

Activation and Early Usage

How?

Moving on-boarded customers to the next stage of funnel progression into active / transacting customers. Personalized behavior and event dependent, rule-based and automated triggers to actively engage with on-boarded customers. Sales enabling AI stack that works on minimizing leakage, maximising LTV and enabling quick activation.

Impact

Activation improvement upwards of 27% in getting the first transaction from customers. Improvement of 30% in credit and debit card activation.

Increasing LTV : On-going usage and wallet share

How?

Elevates post activation experience via curated workflows and automation with updates on usage, billing cycles, offers, loyalty points and cash-backs etc. Automates L1, L2 and L3 post activation queries along with Live Agent handover - when needed. Helps create favorability and brand preference by helping the brand build relevance with customer through proactive updates, payment reminders, billing information etc.

Impact

Elevates post sale customer experience. Trickle down effects that result in 18% more upgrades.

Increasing LTV : Upgrade

How?

Usage, behavioural and conversational insights used to nudge customers with relevant upsell and upgrade offers. Seamless sync with marketing automation stack and backend CMS to nudge customers across multiple channels - with contextual and personalised conversations. Enriching systems to create a unified customer profile that aids upgrade and upsell instances.

Impact

Curated triggers and nudges leading to 27% increased upsell and upgrade instances. Contextual and relevant offers result in 30% improved card usage.

Retention and Churn Management

How?

Precise triggered reactivation modules CRM for behavioural and psychographic signals. Identifies and re-engages dormant users by collecting feedback and showcasing curated offers and product suggestions. Troubleshooting built in for churn reason that can be handled by automation + agent intervention.

Impact

Retention of customers interacting with the bot because of personalized offers. Triggers related conversations at key intervention points. Activation of dormant users.

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