Deputy vs Loom: The Complete Buyer's Guide for 2026

Deputy uses a REST + Webhook API (REST API with OAuth 2.0. Rate limited to 50 requests per 10-second window. Supports webhook notifications for shift changes and timesheet approvals. Pagination via start and max parameters.), while Loom uses a REST API (REST API with bearer token authentication. Limited public API, primarily for Enterprise customers. Developer SDK for embedding recording and playback. Webhook support for video events. JSON responses.). Deputy supports 7 core data objects; Loom supports 6. Deputy supports webhooks for real-time sync. With 12+ of integration experience, Clever Ops can tell you exactly how each API performs in production.

Deputy: Scheduling from approximately $4.50/user/month, Time & Attendance from approximately $4.50/user/month, Premium from approximately $6/user/month (AUD). Bundles available. Minimum spend may apply.. Loom: Free plan: 25 videos, 5 min limit. Business from approximately $20/user/month, Enterprise custom pricing (AUD). Annual billing discounts available. Unlimited recording length and storage on paid plans.. When comparing costs, factor in per-user charges, add-on modules, and implementation costs, not just the headline price. Clever Ops can model the total cost of ownership for your team size during a free assessment.

Yes. Deputy provides a REST + Webhook API and Loom provides a REST API, so we can build reliable integrations between them. Common sync patterns include contacts and key records. Our integrations include error handling, retry logic, and monitoring. Clients typically save 8+ hours/week once the integration is live.

Deputy limitations: Per-user pricing adds up quickly for businesses with large casual workforces where many staff only work a few shifts per month. Advanced features like demand-based scheduling and auto-scheduling require Premium, doubling the per-user cost. Loom limitations: Free plan limits recordings to 25 videos and 5 minutes each, which is too restrictive for most professional use cases. Video quality and file sizes can strain bandwidth for teams with limited internet connectivity, particularly in regional areas. Understanding these trade-offs in the context of your specific workflows is critical. Clever Ops can help you weigh which limitations matter most for your business during a free assessment.

Yes. Both platforms share several common data object types (including contacts and core records), which simplifies field mapping. Clever Ops runs a structured migration process: discovery, data mapping, test migration, verification, and cutover. Most migrations complete within 4-8 weeks, with 3 months of post-migration support included.

Both Deputy and Loom serve Retail & E-commerce businesses. Deputy is also popular with Hospitality & Tourism organisations, while Loom is widely used in Professional Services. Clever Ops can advise based on what we have seen work for businesses like yours.

Free trials are useful for testing the user interface, but they rarely reveal how a platform performs at scale, with your specific data model, or alongside your existing integrations. Deputy manages 7 data object types and Loom manages 6. Evaluating that complexity in a trial period is difficult. A more efficient approach is to combine a short trial with expert advice from our Harvard-educated consultants, who can identify the right fit based on 12+ of implementation experience.

Deputy may hit limits when salaried office-based teams where shift scheduling is irrelevant, or businesses with very large casual pools where per-user pricing becomes disproportionate to hours worked. Loom may hit limits when businesses that need polished, edited video content for marketing purposes, or teams that prefer synchronous communication and find async video disruptive to their workflow. Both platforms are designed to grow with your business, but scaling experience varies. Deputy connects with 47+ tools, and Loom with 37+, so integration flexibility at scale is comparable. Clever Ops helps mid-market Australian businesses plan their tech stack for growth, not just for today.