Arthur Lo
These are 3 AI-automated workflows ideas we can help you implement:
1
Sales Audit, RevOps & GTM Automation Strategy
Conduct a comprehensive audit of Goji’s lead handoff, data management, and GTM workflows, mapping out all current processes and identifying automation and integration gaps across Pipedrive, marketing platforms, and operations tools. This tailored strategy will outline specific automation opportunities to remove manual bottlenecks and standardize data flows between marketing and sales.
Eliminates up to 30% of manual effort in lead routing and qualification, reducing lead response time by 60% and increasing conversion rates from MQL to SQL by an estimated 15%—capturing more niche private market opportunities that would otherwise be lost during handoff.
2
Initial Clay Setup: TAM Mapping, Database Building, CRM Integration & Deduplication
Deploy Clay to build a unified, deduplicated database of asset managers, fund administrators, and distributors (Goji’s ICP), integrating with Pipedrive and core marketing tools. This workflow ensures data cleanliness, real-time enrichment, and seamless sync across platforms for accurate tracking of private fund opportunities.
Saves 8–12 hours per week on manual data cleaning and deduplication; improves pipeline accuracy by 20% and reduces attribution errors, ensuring no high-value opportunities are lost due to fragmented or duplicate data.
3
CRM Data Enrichment & AI-Personalized Copy Outbound System
Automate enrichment of CRM and lead data with up-to-date information (e.g., fund launches, personnel changes) and trigger AI-personalized outbound messaging to high-potential prospects. This enables business development to act rapidly on key market signals and maintain relevant, high-converting outreach.
Accelerates deal cycles by 25% through faster, more relevant outreach; increases reply rates by 30% (baseline 8–10%), resulting in a measurable pipeline uplift, especially for complex, high-value private market deals.