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Newcastle SEO Conference — Email to Mailing List Pipeline (Zapier)
Building a conference mailing list manually from inbound emails is tedious and error-prone. This handles it automatically the moment an email arrives.
Built a Zapier automation that watches for new inbound emails via Zapier's Email Parser, extracts the relevant contact details, creates a new row in Google Sheets for records, and simultaneously creates or updates the contact in ActiveCampaign keeping the mailing list clean, current, and ready for campaign sends.
Email received. Logged. Added to the list. Done.
Stack: Zapier · Email Parser · Google Sheets · ActiveCampaign
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Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
🚀 Automated AI Document Processing & ATS Pipeline (n8n)
Project Summary
Replaced a manual candidate screening process with a fully automated, n8n-orchestrated backend pipeline. The system automatically intercepts incoming applications, uses OpenAI to analyze documents, updates databases, and triggers client communication—cutting manual data entry down to zero.
The Outcome & Business Value
Eliminated Manual Data Entry: Automated 100% of resume parsing, document conversions (Docs to PDF), and data extraction tasks.
Instant Candidate Screening: Integrated an OpenAI Chat Model Decider to evaluate incoming resumes against job descriptions in real-time with zero human delay.
Automated Sync & Follow-Ups: Automated instant logging to Google Sheets and launched immediate multi-path email responses based on candidate status.
How It Works (System Architecture)
Phase 1 (Ingestion & Extraction): Captures files via webhooks/emails ➡️ Cleans data via custom code nodes ➡️ Parallel-processes files to extract raw text ➡️ Uses AI structured parsing to match applicants to open roles.
Phase 2 (Database & Delivery): Routes structured applicant data ➡️ Upserts matching rows into a centralized tracking database ➡️ Triggers dynamic conditional emails back to candidates.
Automated discount updates saved me an hour
I finally stopped the nightly grind of copying discount rows from Google Sheets into WooCommerce. My n8n flow now starts with a Schedule Trigger, pulls the sheet, splits products into batches and uses an HTTP Request node to patch prices where the rule applies. A Merge collects the outcomes and a Telegram node drops a quick summary. The result? About an hour saved each run and zero manual errors.
#n8n #automation #ScheduleTrigger #GoogleSheets
Follow for more: https://go.phonezait.de/
