Zapier records 5,065,248 monthly visits with +0.4% month-over-month growth and Freemium, Free Trial, Paid pricing. Zeda.io records 0 monthly visits with -100% growth and Paid pricing.
–Task-based pricing can escalate as volumes grow and complex workflows multiply steps
–Advanced logic and higher task volumes require upgraded plans
–Debugging multi-step Zaps can be fiddly without careful logging
–You cannot fully customise beyond what the connected apps expose
Zeda.io
Voice of Customer-led product discovery that turns feedback into revenue-weighted product insights
Voice of Customer centralization
Gathers feedback from Slack, Intercom and other support chats, call transcripts, CSV imports, public reviews, in-app widgets, customer portals, Chrome capture and CRM data into one dashboard.
AI product insights
Groups feedback into product areas and insight categories like complaints, requests, opportunities and lost deals, generates AI insight reports and surfaces trend and sentiment analysis.
Revenue-weighted prioritization
Ties each insight and feature to revenue impact and customer accounts so roadmap decisions are justified by business outcome rather than by the loudest request.
Impact-first roadmaps
Builds roadmaps from pre-built templates with custom views, OKRs, impact mapping and prioritization models, kept private or shared publicly to close the loop with customers.
Strengths & Pros
+Centralizes feedback from chat, calls, reviews, surveys and CRM so teams stop working from scattered sources
+Revenue impact is attached to insights and roadmap items, making prioritization defensible
+Ask AI and AI insight reports answer product questions from real customer data rather than generic model knowledge
+
5,000+ integrations with two-way Jira and Linear sync keeps delivery in the tools teams already use
+Close-the-loop features like AI release notes and shareable roadmaps keep customers informed
Limitations
–No monthly plan: everything requires an annual commitment starting around $499/month
–Pricing is quote-based behind a demo rather than a self-serve price list
–Value depends on feeding it enough feedback volume and connected sources to make the AI insights meaningful
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