Nailbiter - Mobile App Case Study

Nailbiter

Mobile App Product Design & User Experience

80% Growth

25% Reduction

5X Efficiency

1.2K+ App Downloads

Project Overview

Nailbiter's Videometric technology captures real-time consumer behaviors, translating them into insights for brands. Key features include Path-to-Purchase analysis and AR applications, serving industries like CPG and retail, supporting leaders like Coca-Cola and Nestlé.

Project Specifications

Industry Consumer Insights

Size Medium to Large

Market Position Industry Innovator

Specific Business Problems

Limited visibility into in-the-moment consumer decisions.
High costs and inefficiencies associated with traditional surveys and focus groups.
Difficulty understanding the effectiveness of in-store displays and product placements.

Objectives

Use behavioral analytics to improve retail strategies and boost consumer engagement.

Specific Goals & KPIs

Enhance shopper satisfaction with improved planogram efficiency.
Boost ROI by forecasting buying trends.
Provide insights focusing on metrics such as Shopability and Findability.

AI Functionality

AI models the consumer journey, providing brands insight into decisions.
AI suggests personalized products and marketing, enhancing engagement based on preferences.
AI enhances reporting by automating analysis, providing predictive insights for trends and customer needs.

Impact of Challenges

Reduced effectiveness of marketing campaigns and promotions.
Missed opportunities in product optimization and consumer engagement.
Slower adaptation to shifting consumer preferences.

Proposed Solution

Analyze consumer interactions in real time for product insights.
Monitor shopper journeys to inform decisions.
Test layouts virtually, observing consumer responses without disrupting retail.

Responsive

Vue.js

Retail Marketing

Customizations

Metrics tailored to specific categories, focusing on client-defined KPIs.
Seamless integration with retailer dashboards and analytics systems.
Flexible reporting formats to match diverse client presentation needs.

Implementation

Process Overview

Phase 1

Assessment of client requirements and data gaps.

Phase 2

Deployment of Videometrics across key markets.

Phase 3

Regular updates and actionable insights through Always-On trackers.

Phase 4

Periodic reviews to refine data collection and analysis.

Timeline and Milestones

Initial setup and staff training

Pilot testing and adjustments

Final deployment and system go-live

Execution

Agile methodology was used for iterative development and feedback.

Weekly sprints, regular stand-up meetings, and progress tracking using project management software.

Quantitative Results

30% boost in shopper engagement.

20% rise in marketing ROI.

25% faster detection of poor SKUs.

Qualitative Results

Better alignment between shopper behaviors and brand strategies.
Enhanced collaboration with key retail partners.
Greater client confidence in data-driven decision-making.

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