E-Commerce Outbound Growth Engine
Proposed. A six-phase system has been fully documented with clear handoff criteria at each gate. Phase definitions cover Apify database filtering parameters, Gemini content scoring rubric, Hunter.io and Phantombuster enrichment specifications, personalized icebreaker generation rules, niche-segmented campaign frameworks, and pipeline dashboard requirements. The client owns all phase definitions and acceptance criteria before any build begins at each gate. The system is designed to automate the full journey from prospect discovery to closed deal with AI-powered personalization at every outreach touchpoint.

A GTM strategy was needed to identify e-commerce brands that had real audiences but weak content and conversion assets. The target was brands with Instagram following above a set threshold but poor photography, low user-generated content quality, weak engagement, or ineffective landing pages. The goal was to diagnose each gap with AI, automate personalized outreach through to a closed deal, and maintain full pipeline visibility from initial contact through proposal and close.
We proposed a six-phase end-to-end GTM system. Phase One discovers the ICP across Apify's 14 million plus e-commerce store database, filtered by location, Instagram follower count, and niche category. Phase Two uses Gemini to score each store's Instagram content quality across photography, user-generated content, and engagement metrics to surface a specific improvement angle. Phase Three finds the decision-maker email via Hunter.io and enriches firmographic and social signals with Phantombuster. Phase Four converts the content diagnosis into a personalized icebreaker per prospect, ensuring every outreach message is specific to that brand's actual gaps rather than a templated pitch. Phase Five deploys niche-segmented Instantly campaigns across wellness, fashion, beauty, and home decor verticals with differentiated messaging per category. Phase Six auto-classifies all replies as positive or negative, routes positive replies into the CRM, assigns them to the appropriate rep, applies automated follow-up escalation rules, and surfaces a management-facing pipeline dashboard with deal-stage visibility.
Proposed. A six-phase system has been fully documented with clear handoff criteria at each gate. Phase definitions cover Apify database filtering parameters, Gemini content scoring rubric, Hunter.io and Phantombuster enrichment specifications, personalized icebreaker generation rules, niche-segmented campaign frameworks, and pipeline dashboard requirements. The client owns all phase definitions and acceptance criteria before any build begins at each gate. The system is designed to automate the full journey from prospect discovery to closed deal with AI-powered personalization at every outreach touchpoint.
Client retains ownership of all Apify database queries and filter configurations, Gemini scoring parameters and content analysis templates, Hunter.io and Phantombuster enrichment workflows, Instantly campaign structures per niche, CRM pipeline configuration, and the management-facing dashboard at each phase gate.