How Nice Turned Offline Data Into Revenue Growth

WebEngage has helped us build a more structured growth model around our customer data. We now have clearer visibility into how offline and online engagement contribute to revenue, while segmentation has made it easier to focus on the customer groups that matter most.

Sanjeev Sharma

Chief Executive Officer

WebEngage has helped us build a more structured growth model around our customer data. We now have clearer visibility into how offline and online engagement contribute to revenue, while segmentation has made it easier to focus on the customer groups that matter most.

Sanjeev Sharma

Chief Executive Officer

342%

Growth in revenue influenced by WhatsApp

247%

QoQ campaign growth

124%

YoY campaign growth

Nice partnered with WebEngage to turn offline customer data into a segmented engagement engine across store-led and digital journeys.

  • Segmented customers by value, buying platform, and lifecycle stage.
  • Used BLACK by WebEngage to read customer movement, surface revenue signals, and identify actionable opportunities across segments.
  • Used WhatsApp to influence offline purchases and seasonal campaigns.
  • Built in-app journeys around high-intent moments such as cart abandonment.
  • Defined clearer roles for WhatsApp, In-app, On-site, Push, and Email.
  • Improved visibility into campaign contribution across online and offline revenue.

Turning Offline Customer Data Into Measurable Growth

Nice had a large offline customer base and strong demand around seasonal retail moments. However, the team needed a clearer way to understand customer behavior, activate relevant segments, and measure the contribution of campaigns to revenue.

The opportunity was to consolidate customer data, segmentation, channel planning, and revenue measurement into a single operating model. BLACK added an intelligence layer to read customer movement, surface where revenue was shifting, and identify opportunities for action.

WebEngage Solution

WebEngage Black - nice

The engagement model covered:

  • WhatsApp campaigns for store-led and repeat-customer engagement
  • In-app journeys for high-intent online conversion
  • On-site engagement for active purchase moments
  • Push Notifications and Email for journey reinforcement
  • Revenue measurement across online and offline customer activity

Together, these capabilities helped Nice decide who to target, when to engage them, and which message or channel was most relevant.

tamer - nice

The Business Impact

Nice recorded strong growth across campaign performance, channel contribution, and repeat-customer engagement in Q1 2026.

overall impact - nice

The Bigger Picture

Nice moved from broad campaign execution to a segment-led model built around customer value, lifecycle stage, platform behavior, and channel response.

Offline customer data became easier to activate. WhatsApp became a measurable store-led revenue channel. In-app journeys became a proven online conversion lever. Campaign planning became more closely aligned with customer behavior and seasonal demand.

This created a scalable framework for improving segmentation, expanding always-on journeys, and measuring engagement across online and offline touchpoints.

srikanth testimonial - nice

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