Skene vs Totango
This page is for teams comparing Skene to Totango for customer success and lifecycle management tools.
Who this comparison is for
You are evaluating customer success tools and trying to decide between an enterprise playbook platform (Totango) and an AI-powered PLG engine (Skene).
Core category difference
Totango is an enterprise customer success platform with playbook templates, health scoring, and campaign orchestration for CS teams. Skene is an AI engine that automates customer success without playbooks or CS resources.
When Totango is the wrong choice
Totango may not fit if you lack CS resources to build and maintain playbooks, if template-based workflows are too rigid, or if enterprise pricing does not match your stage.
When Skene is the wrong choice
Skene may not fit if you have an established CS org with playbook expertise and need enterprise-grade account management and reporting features.
Architectural comparison
| Dimension | Skene | Totango |
|---|---|---|
| Automation model | AI agents operate autonomously. No playbooks to build. | Template-based playbooks executed by CSMs. |
| Setup | 5 minutes with repository connection. | Weeks of configuration and playbook setup. |
| Product understanding | Analyzes codebase to understand features automatically. | Requires manual integration and attribute mapping. |
| Maintenance | Updates automatically with code changes. | Playbooks need manual updates when product evolves. |
| Pricing | Usage-based, pay per completed onboarding. | Per-user licensing with annual commitments. |
| Best for | Product-led teams without CS overhead. | Mid-market/enterprise with CS organizations. |
Migration considerations
If maintaining Totango playbooks has become overhead, Skene can replace that manual work with AI-driven automation.
For a deeper comparison, see our Totango alternative page.
Next steps: explore the product overview or start a free trial.
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