I built an integration between HubSpot, Zapier, and Seidat that allows the client’s sales team to generate personalized offers automatically using real, up-to-date CRM data. The workflow is triggered by a simple bookmarklet that sends the relevant information from HubSpot to Zapier and Seidat, where an offer template is duplicated and populated.

The automation saves up to 30 minutes per offer and several workdays per month for each salesperson, while ensuring every offer is created with accurate and consistent data.

I built a custom scraping script in Visual Studio Code to extract company names from industry-specific web pages. These companies were enriched in Clay.com with decision-maker contact details and company insights, including team size, hiring activity, and investment history.

The enriched data enabled precise outreach campaigns to key stakeholders. The project added over 1,000 verified contacts to the CRM and produced 20 sales meetings within one month.

I developed a sales meeting analyzer that identifies customer pain points, objections, and competitor mentions from sales call transcripts. The automation runs on n8n and uses OpenAI’s API to process each meeting, with all insights appended to a Google Sheet for review.

The results help the client refine sales communication, inform product development, and shape marketing messages based on real customer needs.