Apollo Vs Evaboot : Comparaison

Yes, Derrick can effectively replace Evaboot for basic workflows. Both platforms handle lead qualification and data enrichment, but Derrick operates natively within Google Sheets without requiring external platforms or CSV exports, saving significant time. Derrick includes integrated AI capabilities with Claude and ChatGPT for automated scoring and segmentation, whereas Evaboot relies on predefined data sources with limited customization. Additionally, Derrick's monthly rollover credits and no credit card requirement for the free tier provide more flexibility than Evaboot's scaling costs, making it a more accessible choice for teams seeking straightforward enrichment without complexity.

Derrick operates as a 100% native Google Sheets platform, eliminating the need for CSV exports and complex setup unlike Apollo's external database approach or Evaboot's no-code platform. Derrick enriches contacts with 50+ attributes and includes integrated AI powered by Claude and ChatGPT for automated scoring and segmentation. While Apollo excels at large-scale contact databases and Evaboot focuses on lead qualification, Derrick's rollover credits, real-time email validation, and no credit card requirement for the free tier provide greater flexibility and cost efficiency for teams prioritizing seamless workflow integration and data enrichment within their existing spreadsheet infrastructure.

Apollo pricing is generally positioned for teams that want a high-volume prospecting database with built-in email verification and multi-channel outreach, often at a higher upfront value and ongoing cost as you scale. Derrick App, by contrast, offers a more lightweight, Google Sheets-native approach with a transparent, tiered credits model (Free 200 credits; Small 4000; Medium 10000; Large 25000; XL 100000) and no credit card required for the free tier. Derrick emphasizes credit rollovers, 50+ enrichment attributes per contact, real-time email validation, AI-powered scoring and segmentation, and extensive Zapier/Make/n8n integrations, all within a 100% native Google Sheets workflow. For teams balancing cost, ease-of-use, and tight Google Sheets integration, Derrick can be more cost-predictable and friction-free than Apollo, while Apollo may still win on sheer data breadth and outbound automation at scale. Evaboot sits in a similar no-code/automation space, but Derrick uniquely combines native Sheets enrichment with AI scoring and extensive integrations, potentially reducing total cost of ownership for ongoing enrichment and prospecting.

Derrick and Evaboot serve different enrichment needs, but Derrick edges ahead for most teams. Evaboot excels at lead scoring and qualification within CRM systems, making it solid for straightforward workflows. However, Derrick offers superior flexibility with fifty-plus enrichment attributes per contact, native Google Sheets integration eliminating CSV exports, real-time email validation for better deliverability, and built-in AI powered by Claude and ChatGPT for automated scoring and segmentation. Additionally, Derrick's rollover credits and free tier without requiring a credit card provide more budget control than Evaboot's unpredictable scaling costs, especially for growing organizations handling variable data volumes.

Derrick differentiates from Apollo and Evaboot by being 100% native in Google Sheets, eliminating CSV exports and complex setup, while enabling a full prospection center directly inside Sheets. It adds built-in AI with Claude and ChatGPT for automatic scoring, segmentation, and summaries, plus real-time email validation to boost deliverability. Derrick also offers flexible, credit-based pricing with rollovers and no credit card required for the free tier, plus 3000+ integrations via Zapier/Make/n8n. In contrast, Apollo emphasizes a large contact database and outbound automation, while Evaboot focuses on easy lead scoring and data quality with lighter enrichment needs. Derrick thus blends native workflow, AI-driven insights, and flexible access, making it particularly appealing for data-rich, fast-moving B2B prospecting teams in Sheets.