Kevora
Built the complete technical infrastructure for an e-commerce storefront, replacing manual operations with automated data workflows that optimized customer acquisition and customer satisfaction from launch day.
graph TD
%% Styling
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef signal fill:#222,stroke:#007AFF,stroke-width:1.5px,color:#007AFF;
classDef engine fill:#222,stroke:#34C759,stroke-width:1.5px,color:#34C759;
classDef retention fill:#222,stroke:#FF9500,stroke-width:1.5px,color:#FF9500;
subgraph Phase1 ["Sourcing & Intelligence"]
A["Ad Library Scrapers"] -->|30-Day Trend Filtering| B("High-Frequency Ad Signals")
B -->|Competitive Intelligence| C{"Product Sourcing Engine"}
end
subgraph Phase2 ["Acquisition & Conversion"]
C -->|Shopify / LP Launch| D["Acquisition Ads"]
D -->|User Clicks| LP["Landing Page / Storefront"]
LP -->|User Purchases| E["Shopify Transaction"]
end
subgraph Phase3 ["Automated Messaging"]
E -->|Segment Logic Gate: Omnisend| H["14-Day Delivery Gap Flow"]
end
class A,B signal;
class C,D,LP,E engine;
class H retention;
Post-Purchase Email & SMS Flows
Built an automated email and SMS sequence to bridge a 14-day international shipping window. By sending helpful product setup guides and expectations immediately after purchase, the system maintained engagement, cut down order cancellations, and prevented customer support backlogs.
graph TD
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef engine fill:#222,stroke:#34C759,stroke-width:1.5px,color:#34C759;
classDef retention fill:#222,stroke:#FF9500,stroke-width:1.5px,color:#FF9500;
E["Shopify Transaction"] -->|Order Status Tracking: Omnisend| H["14-Day Delivery Gap Flow"]
H -->|Day 1-3| I["Educational Content: Tips & Benefits"]
H -->|Day 7| J["Shipping Expectation Management"]
H -->|Day 14+| K["SMS/Email Upsell & Bundle Offers"]
class E engine;
class H,I,J,K retention;
AI Support Agent Integration
Integrated and trained an AI customer support agent to manage baseline inquiries around the clock. By structuring a reliable dataset of shipping timelines and product specifications, the bot provided accurate, 24/7 support without requiring a dedicated human customer service team.
graph TD
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef ai fill:#222,stroke:#AF52DE,stroke-width:1.5px,color:#AF52DE;
L("Customer Initiates Chat") --> F["AI Support Bot: Lyro/Tidio"]
F -->|Checks Product Specs & Shipping Rules| M["Answer Found?"]
M -->|Yes| G["Automated 24/7 Support Response"]
M -->|No| N["Route to Human Agent Hold"]
class L,F,M,G,N ai;
Competitor Ad Scraping Pipeline
Deployed data scraping workflows to monitor active competitor creative and identify winning product trends within 30-day windows. This intelligence mapped successful video hooks and consumer pain points prior to ad production, minimizing creative risk and protecting ad spend.
Clean, High-Trust Storefront Design
Designed a high-conversion, minimalist storefront focused on eliminating checkout friction. Consolidated scattered user proof into a clean visual hierarchy, leveraging video and photo reviews to instantly establish brand credibility and maximize cold traffic conversions.
Smart Cart Recovery (SMS & Email)
Engineered a segmented cart recovery ecosystem across email and SMS channels. While all audiences received optimized email series, US buyers were concurrently funneled into automated SMS flows to leverage higher purchase intent, maximizing recovery efficiency while maintaining compliance outside the US.
graph TD
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef trigger fill:#222,stroke:#007AFF,stroke-width:1.5px,color:#007AFF;
classDef sms fill:#222,stroke:#34C759,stroke-width:1.5px,color:#34C759;
classDef email fill:#222,stroke:#AF52DE,stroke-width:1.5px,color:#AF52DE;
classDef action fill:#222,stroke:#FF9500,stroke-width:1.5px,color:#FF9500;
Start("Checkout Abandoned") --> Check{"User Region"}
%% Email Flow (All Users)
Check -->|"All Users (US & International)"| EmailFlow["Email Recovery Sequence"]
EmailFlow --> EM1["Email 1: Cart Reminder"]
EM1 --> Wait2("Wait 4 Hours")
Wait2 --> Check2{"Purchased?"}
Check2 -->|No| Tag["Apply Tag: Needs_Discount"]
Tag --> EM2["Email 2: Discount Offer"]
EM2 --> Wait3("Wait 24 Hours")
Wait3 --> Check3{"Purchased?"}
Check3 -->|No| Nurture["14-Day Nurture"]
%% SMS Flow (US Users Only - Concurrent)
Check -->|"US Region Only"| SMSFlow["SMS Recovery Sequence"]
SMSFlow --> SMS1["SMS 1: Cart Reminder"]
SMS1 --> Wait1("Wait 2 Hours")
Wait1 --> Check1{"Purchased?"}
Check1 -->|No| SMS2["SMS 2: Discount Offer"]
class Start trigger;
class SMSFlow,SMS1,SMS2,Wait1 sms;
class EmailFlow,EM1,EM2,Nurture,Wait2,Wait3 email;
class Tag,Check1,Check2,Check3 action;
1-Click Post-Purchase Upsells
Implemented post-checkout logic offering targeted, one-click product upsells directly after initial transaction authorization. This system immediately expanded average order value (AOV) and lowered customer acquisition costs from day one.
graph TD
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef trigger fill:#222,stroke:#007AFF,stroke-width:1.5px,color:#007AFF;
classDef offer fill:#222,stroke:#FF9500,stroke-width:1.5px,color:#FF9500;
classDef success fill:#222,stroke:#34C759,stroke-width:1.5px,color:#34C759;
A("Initial Order Completed") --> B["Payment Tokenized via 3rd Party App"]
B --> C["Intercept: Offer 1 - 30% Off Upsell"]
C -->|User Accepts - 1 Click| D["Dynamically Add to Existing Order"]
C -->|User Rejects| E["Intercept: Offer 2 - 40% Off Downsell"]
E -->|User Accepts - 1 Click| D
E -->|User Rejects| F["Standard Thank You / Confirmation Page"]
D --> F
class A trigger;
class C,E offer;
class D,F success;
Real-Time Shipping Emails
Configured server-side event webhooks linking e-commerce checkout data to Omnisend. Instantly upon package delivery confirmation, the platform terminated "in-transit" lifecycle communications and triggered immediate unboxing and onboarding instructions.
Hybrid Asset Generation (AI + Photography)
Utilized physical product photography as geometric and scaling templates within image-to-image AI workflows. This technique bypassed standard AI object distortion, allowing rapid deployment of anatomically accurate, high-fidelity lifestyle marketing creatives.
graph TD
%% Styling
classDef default fill:#111,stroke:#333,stroke-width:1px,color:#fff;
classDef strategy fill:#222,stroke:#007AFF,stroke-width:1.5px,color:#007AFF;
classDef physical fill:#222,stroke:#FF9500,stroke-width:1.5px,color:#FF9500;
classDef ai fill:#222,stroke:#AF52DE,stroke-width:1.5px,color:#AF52DE;
classDef execution fill:#222,stroke:#34C759,stroke-width:1.5px,color:#34C759;
A["Audience Mapping: GPT & Gemini"] -->|Moodboards & Avatar Strategy| B("Practical Photography: Person Wearing Massager")
B -->|Anatomical & Structural Reference| C["Nano Banana 2: Image-to-Image Engine"]
C -->|Lifestyle & Background Scaling| D["Final Design Layout: Figma"]
D -->|Web UI Assets| E["Landing Pages & Storefront"]
D -->|Retention Assets| F["Email Newsletters & Paid Social Ads"]
D -->|Acquisition Creative| G["Paid Social Ads"]
class A strategy;
class B physical;
class C ai;
class D,E,F,G execution;
Product Photography












Brand Awareness/Purchase Campaign
Retargeting Campaign



Website
