Contactful vs WhenX.io
WhenX.io is a specialized recruiting overlay for LinkedIn: it helps teams keep sourcing notes and candidate context close to profiles.
Contactful is broader — a LinkedIn relationship system you can actually run daily:
save profiles you care about, add context (notes + tags), and manage follow-ups in custom pipelines with your own stages
(you can create up to 3 pipelines to separate sales, recruiting, partnerships, or any workflow you want).
No scraping. No fragile automation. Just structure that sticks.
Recruiting overlay vs a full LinkedIn workflow system
WhenX.io focuses on a narrower recruiting overlay workflow. Contactful covers the bigger leak: dropped threads, lost context, and messy follow-ups — with tags, notes, exports, and custom pipelines + custom stages.
Contactful vs WhenX.io (feature-by-feature)
Built for real LinkedIn work: recruiting shortlists, sales follow-ups, partner pipelines, warm intros.
| Category | Contactful | WhenX.io |
|---|---|---|
| Positioning | LinkedIn operating system for relationships + follow-ups | Recruiting overlay for sourcing context |
| Typical workflow | Save → tag → add context → pipeline stage → follow up | Source → keep recruiting notes/status visible while sourcing |
| Pipelines / stages |
Custom pipelines + custom stages Create up to 3 pipelines and define your own stages for each workflow. |
Status-first Optimized around a recruiting overlay workflow rather than flexible multi-pipeline systems. |
| Tags & segmentation | Fast tagging Build shortlists and filters in seconds. |
More limited Often tied to recruiting-specific usage. |
| Notes & context longevity | Designed for context Still makes sense 60 days later. |
Sourcing-first Great for “what did we do with this profile?” while sourcing. |
| Multi-use workflows | Sales + recruiting + partnerships Separate flows with up to 3 pipelines. |
Recruiting-centric Best when your whole workflow is sourcing. |
| Automation / scraping | No scraping, no brittle automation Manual, intentional capture that stays stable. |
Workflow-dependent Depends on how the product is used in your stack. |
| Export | CSV/Excel export Move lists to CRM/ATS/outreach anytime. |
Varies Depends on plan + feature set. |
| Best for | Teams who want a repeatable LinkedIn system | Teams who want a recruiting overlay while sourcing |
| Time-to-value | Fast Save, tag, pipeline, follow up — done. |
Depends Strongest if your workflow matches exactly. |
Overlay features vs a durable daily system
The real win isn’t “more features” — it’s having a system your team uses every day. Contactful is built around that: capture → context → pipeline → next step.
Contactful is built to run your LinkedIn workflow
- Save profiles intentionally (no scraping)
- Keep durable context with notes + tags
- Run up to 3 custom pipelines (separate workflows)
- Define your own stages per pipeline
- Export anytime to CRM/ATS/outreach tools
Why this matters
Most teams don’t lose deals/candidates because they can’t “find more people”. They lose them because context disappears and follow-ups slip. Contactful fixes the leak with a simple daily operating system — and still stays lightweight.
Where Contactful clearly wins
If you want one tool that works across multiple LinkedIn motions, Contactful is the safer default.
Multiple workflows in one team
Run sales + recruiting + partnerships without mixing everything. Set up up to 3 pipelines, each with its own stages and structure.
Follow-ups that don’t fall apart
Save “why this person matters”, tag them, move them to the right stage, and keep next steps obvious. Your future self will thank you.
Relationship-first selling
For warm intros, partner networks, founders, consultants — context is everything. Contactful is built for long-term memory, not just sourcing moments.
Questions people ask when comparing
Quick answers to common “Contactful vs WhenX.io” questions.
Is Contactful only for recruiting?
How many pipelines can I create in Contactful?
Can I still export to my CRM/ATS?
Where do I upgrade to Talent / Networking / Bundle?
Turn LinkedIn into a repeatable system
Save profiles, keep durable context, and run follow-ups in custom pipelines (up to 3) with your own stages — without scraping and without building a fragile automation stack.