Video summary

UPWORK MISTAKES 91% of Freelancers make & how to fix them

Main summary

Key takeaways

Business

Business-focused summary (Upwork freelancer acquisition & operations)

The “4 mistakes” playbook (what went wrong + how to fix)

  1. Mistake: Copy/paste proposals without compliance + without fit

    • What went wrong (example): A proposal template was copy/pasted broadly. The critical issue was including a link to the speaker’s Freelancer.com profile, which violated Upwork’s Terms of Service (no promoting other services/orgs).
    • Fix:
      • Convert Upwork rules into a simpler checklist.
      • The speaker used ChatGPT to rewrite ToS into plain language and stored the rules on a Notion page: “Josh burch.com/upwork rules”.

  2. Mistake: Poor profile/proposal quality while guessing instead of benchmarking

    • What went wrong (example): After submitting many proposals, clients didn’t even view them; the speaker felt “not good enough.”
    • Fix: Benchmark against top performers
      • Use targeted search URL manipulation to surface top earners (e.g., removing restrictive filters and adjusting earned-amount thresholds).
      • Filter to top earners (threshold examples mentioned: earned $10,000+ → $1M+ via URL adjustments) and study:
        • Profiles
        • Portfolios
        • Messaging/proposal style

  3. Mistake: Not having a client vetting system (and getting stuck with unresponsive/difficult clients)

    • What went wrong (example): The speaker accepted a promising job, but communications became difficult. The contract was closed without notice and they received a 2-star rating, plus a complaint email about delays despite attempts to reach the client.
    • Fix / system created after the incident:
      • Since the speaker is Top Rated, they can delete the bad review without hurting job success score (an important operational lever).
      • Implement a pre-acceptance process:
        • Check client background
        • Do a call before agreeing
        • After the call, clients often decide to hire them—improving conversion and reducing mismatch risk

  4. Mistake: Not optimizing how you find and apply early (slow sourcing = low visibility)

    • What went wrong (example): A contrast example: a new freelancer with only ~4 jobs and < $400 earned got hired—because of a specific sourcing/automation behavior.
    • Fix: Use Advanced Search + automation to be among the first to apply
      • “First five” JW proposals increase notice rate.
    • Advanced job search framework
      • Search by skill/title keywords
      • Expand synonyms/format variants (e.g., “SQL Server” vs “mssql” vs “MS SQL”)
      • Toggle geography limits (noted as able to sharply increase results)
      • Apply pay filters:
        • Hourly: ≥ $90/hour
        • Fixed price: ≥ $1,000
    • Saved search + RSS automation
      • Save the search
      • Convert to RSS
      • Use Zapier:
        • Trigger: RSS “new item”
        • Action: send Gmail email alert + optionally a Slack message
      • Operational guardrail: keep alerts limited to avoid inbox overload (target ~3–5 job alerts/week)
      • Outcome hypothesis: early application improves standing out; notification workflow reduces manual time

Frameworks / processes / playbooks explicitly used

  • Compliance checklist via AI translation
    • Convert Upwork ToS into plain-language rules for proposal/link usage.
  • Benchmarking strategy
    • Study top earners’ profiles by manipulating search filters to locate high performers.
  • Client qualification process
    • “Vet → call → decide” workflow to prevent mismatched projects and communication failure.
  • GTM-style sourcing automation
    • “Find work” → “Saved search” → “RSS” → Zapier → email/Slack alerts → early application.

Key metrics / KPIs mentioned (and implied targets)

  • Review impact / risk control
    • A 2-star rating occurred.
    • Being Top Rated enables deleting a bad review without harming job success score.
  • Performance thresholds used for benchmarking
    • Earned-amount filtering guidance:
      • $10,000+ → adjusted to surface freelancers with $1M+ earned.
  • Application timing
    • Targeting the first 5 applicants with proposals.
  • Alert volume target
    • 3–5 job alerts per week via email and Slack.
  • Pay filters in job search
    • Hourly jobs: ≥ $90/hour
    • Fixed-price jobs: ≥ $1,000

Actionable recommendations (what to do next)

  • Proposal operations
    • Remove/avoid any links promoting other sites (compliance first).
    • Stop copy/pasting blindly; align proposal content to the job/client.
  • Profile growth
    • Audit your profile against top Upwork earners, then replicate what works (structure, clarity, proof, portfolio presentation).
  • Client risk management
    • Don’t accept jobs without:
      • background check
      • early call to confirm responsiveness and expectations
  • Sourcing & speed advantage
    • Build a saved, highly specific Upwork search and automate alerts via RSS + Zapier.
    • Apply quickly when alerts arrive to capture the early-visibility advantage.

Presenters / sources

  • Presenter: Josh Burch (implied by references to “Josh burch.com/upwork rules” and the speaker’s own system)

Original video