Project 02

Innovatemap
AI Campaign Redesign

Enterprise Partner:
Innovatemap × Backstroke Startup
Target User Base:
E-Commerce Marketing Managers

The Strategic Challenge

Backstroke leverages specialized algorithmic engines to generate hyper-personalized email and SMS copy variations for online retail brands. While legacy marketing competitors rely on basic chatbots to draft subject lines, Backstroke wanted to scale up, positioning AI as the overarching coordinator of comprehensive email strategies.

The core UX challenge was user trust. Digital marketers expressed extreme anxiety about losing control over their brand voice or deploying automated copy variants blindly without pre-validated analytics dashboards.

Milestone 1: Market Analysis & Discovery Mapping

We kicked off our research sprint by analyzing legacy industry products like Mailchimp, Klaviyo, and Attentive to isolate common structural flows. This market exploration mapped two clear operational friction points:

Milestone 2: Round-Robin Sketching & Concept Testing

To establish fresh perspectives free from engineering constraints, our design squad engaged in competitive Round-Robin Sketching sessions. We generated six distinct concepts:

Milestone 3: Cognitive Walkthroughs & UX Alignment

We built intermediate wireframes to run strict Cognitive Walkthroughs with system stakeholders. This milestone forced us to rethink our tracking dashboards. Users didn't want automated workflows to be fully obscured. They required the ability to manually adjust text blocks inline, verify performance indicators, or instantly reject automated variations before deployment.

The Final Concept: High-Fidelity Predictive Simulation

Using the Untitled UI design system token parameters, our final Milestone 4 system blueprints completely transformed the product archetype. Marketers simply establish a high-level target goal, and the system simulates a multi-channel deployment strategy.

Crucially, before deployment, the system **predicts expected open rates, click-through ratios (CTR), and conversion values**. It highlights exact optimization suggestions (like swapping generic calls-to-action for action-oriented verbs) and models the statistical performance lift in real-time. This effectively shifts the software from a blind copy generator into a reliable, high-growth strategic asset.