CX Impact vs Journify
CX Impact
maxshelukhanov.ruJournify
journifynow.comSide by side
| Figure | CX Impact | Journify |
|---|---|---|
| Price from | Free | $150/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 4 |
| Spec score · Customer Journey Mapping Software | 8.9 (#1) | 7.8 (#11) |
Plans
In their own words
CX Impact
CX Impact is a portable skill for AI agents that turns supplied documents, process descriptions, and numbers into visual maps. It can produce customer journey maps, service blueprints, process maps, AS IS / TO BE comparisons, and sales funnels. Its maker names product managers, analysts, designers, and service teams as intended users. Results include interactive HTML, editable JSON, and a source snapshot; the viewer can export SVG, and funnels can also export CSV. The HTML opens without a server or CX Impact account. Installation instructions cover Codex, Claude Code, OpenCode, and DeepSeek Harness. The code is MIT-licensed and costs nothing; AI agent and model usage depend on the user's plan. Map creation runs in the user's agent environment with the selected model provider, while generated HTML makes no network requests. Quantitative funnels need user-provided data and metric definitions, and the viewer has no visual editor.
Journify
Journify maps customer journeys from acquisition through expansion and connects data from existing tools. After users answer questions about their product, its AI builds journey stages. The service identifies drop-off points, estimates their cost, and recommends what to address first. Listed integrations include LinkedIn, Google Ads, Meta Ads, GA4, HubSpot, Segment, Mixpanel, Sentry, Stripe, and Intercom. It supports one-click connections, AI metric mapping, real-time syncing, multiple sources per journey, and AI-built connectors for unsupported tools. Users can attach screenshots, competitor pages, benchmarks, PDFs, and other context to stages or signals. AI monitors stages and gaps for unusual drop-off, missing churn-predictive metrics, and opportunities. Natural-language questions return answers with data and a visual. Collaboration includes live presence, comments, threads, mentions, and decision resolution, with Detail and Storyboard views.