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How To Create Efficient Backfiller

This guide focuses on how to make Smart Backfiller work efficiently for your specific niche with choosing the right job titles, keywords, and filters to maximize relevance, engagement, and revenue.

Overview

Smart Backfiller gives you instant access to 4 million+ real job ads while earning CPA (Cost Per Application) and CPC (Cost Per Click) revenue. But the difference between a backfiller that generates $100/month and one that generates $2,000/month comes down to configuration strategy.

Why Efficiency Matters

Quality Over Quantity

You can backfill generic jobs that get ignored, or highly targeted jobs that candidates actually apply to. The second option earns more revenue and builds a better reputation.

The math:

  • Generic targeting × 2% click rate × 1% application rate = 0.04 applications per job

  • Precise targeting × 12% click rate × 8% application rate = 0.48 applications per job

The targeted approach generates 12x more applications with the same number of jobs.

Relevance = Revenue

CPA and CPC payments only happen when candidates engage. Irrelevant jobs don't get clicked. Jobs that get clicked but don't match candidate qualifications don't get applied to. Neither scenario earns you money.

Efficient backfilling = high engagement = high revenue.

The Two Pillars of Efficient Backfilling

1. Precise Job Titles

Job titles are your primary filter. They determine which jobs get pulled from the 4M+ repository.

The job title strategy:

Use standard industry titles, not creative variations:

  • ✅ "Software Engineer" — Standard, widely used, matches real job posts

  • ❌ "Code Ninja" — Creative but rarely used in actual job listings

Include title variations your audience searches for:

  • If targeting developers: "Software Engineer, Software Developer, Application Developer, Programmer"

  • If targeting nurses: "Registered Nurse, RN, Staff Nurse, Bedside Nurse"

Be specific to your niche:

For tech boards:

  • Broad tech board: "Software Engineer, Data Scientist, Product Manager, UX Designer"

  • Python-specific board: "Python Developer, Python Engineer, Django Developer, Flask Developer, Python Programmer"

  • Senior-only board: "Senior Software Engineer, Lead Developer, Principal Engineer, Staff Engineer"

For healthcare boards:

  • General: "Registered Nurse, Physician, Medical Assistant, Pharmacist"

  • ICU-specific: "ICU Nurse, Critical Care Nurse, Intensive Care Nurse, CICU Nurse"

  • Travel nursing: "Travel Nurse, Travel RN, Contract Nurse, Agency Nurse"

For remote boards:

  • Generic remote: "Remote Software Engineer, Remote Developer, Remote Designer, Virtual Assistant"

  • Remote + specific role: "Remote Frontend Developer, Remote React Developer, Remote Node.js Developer"

How many titles to use:

  • Too few (1-3): Limits volume, might miss valid variations

  • Optimal (5-15): Covers main title plus common variations

  • Too many (20+): Dilutes focus, pulls less relevant jobs

2. Strategic Keywords

Keywords refine results beyond titles. They filter based on skills, experience, location, and context mentioned in job descriptions.

Keyword categories and when to use them:

Skills and technologies (for technical roles):

When you need jobs requiring specific tools or languages:

  • Tech: "Python, JavaScript, React, AWS, Docker, Kubernetes, microservices"

  • Healthcare: "ACLS, BLS, ICU experience, critical care, ventilator management"

  • Marketing: "SEO, Google Analytics, content strategy, HubSpot, marketing automation"

  • Finance: "Excel, financial modeling, GAAP, QuickBooks, financial analysis"

Experience levels (to match your audience):

When experience matters:

  • Entry-level board: "entry level, junior, graduate, 0-2 years, no experience required"

  • Mid-level: "3-5 years, mid-level, experienced professional"

  • Senior: "senior, lead, principal, 7+ years, 10+ years, expert, staff level"

Work arrangements (for remote or hybrid boards):

When location flexibility is key:

  • Remote: "remote, work from home, distributed, fully remote, anywhere, WFH"

  • Hybrid: "hybrid, flexible, remote option, partial remote"

  • On-site: "on-site, in-office, relocate, relocation assistance"

Geographic keywords (for location-specific boards):

When serving a specific region:

  • Gulf jobs: "UAE, Dubai, Abu Dhabi, Saudi Arabia, Qatar, visa sponsorship, relocation, tax-free"

  • US tech hubs: "San Francisco, Bay Area, Silicon Valley, New York, Austin, Seattle"

  • India tech: "Bangalore, Bengaluru, Pune, Hyderabad, Mumbai, Chennai"

Compensation indicators (for premium boards):

When targeting high-earning roles:

  • "$100K+, six figures, $150K, competitive salary, equity, stock options"

  • "High compensation, top tier salary, above market rate"

Company type (for startup or enterprise focus):

When company stage matters:

  • Startups: "startup, early stage, Series A, Series B, founder, equity"

  • Enterprise: "Fortune 500, enterprise, established company, global company"

  • Tech companies: "SaaS, B2B, fintech, healthtech, edtech"

Keyword efficiency rules:

Rule 1: Use 8-15 keywords maximum

More keywords = narrower results. Too many creates conflicts where no jobs match all criteria.

Good keyword set (remote tech board): "remote, work from home, Python, JavaScript, AWS, senior, 5+ years, SaaS"

This pulls remote senior backend roles at SaaS companies.

Bad keyword set (too many): "remote, work from home, distributed, anywhere, Python, Django, Flask, FastAPI, JavaScript, React, Vue, Angular, AWS, Azure, GCP, Docker, Kubernetes, senior, lead, principal, 5+ years, 7+ years, SaaS, B2B, startup, Series A"

Too specific—might return zero results or miss great matches.

Rule 2: Keywords are "AND" logic

Jobs must contain the title AND match several keywords. The more keywords, the fewer matches.

Example:

  • Title: "Software Engineer"

  • Keywords: "remote, Python, senior, SaaS"

  • Result: Remote senior Python engineers at SaaS companies

If you add "startup, Series A, equity" to keywords, you're now requiring ALL those terms, which dramatically narrows results.

The quality threshold:

Your backfiller will pull as many relevant jobs as it can find based on your filters. The key is ensuring your job titles and keywords are specific enough that every job pulled is highly relevant.

Creating Multiple Targeted Backfillers

Instead of one broad backfiller, create 3-5 specific ones. This improves relevance and allows per-category optimization.

Strategy: Vertical segmentation

Example 1: Tech job board

Instead of:

  • One backfiller: "All Tech Jobs"

Do this:

  • Backfiller 1: Engineering

    • Titles: Software Engineer, Backend Developer, Frontend Developer

    • Keywords: Python, JavaScript, React, Node.js

  • Backfiller 2: Data & Analytics

    • Titles: Data Analyst, Data Scientist, ML Engineer

    • Keywords: Python, SQL, machine learning, data analysis

  • Backfiller 3: Product & Design

    • Titles: Product Manager, Product Designer, UX Designer

    • Keywords: product management, user research, Figma

  • Backfiller 4: DevOps

    • Titles: DevOps Engineer, SRE, Cloud Engineer

    • Keywords: AWS, Docker, Kubernetes, CI/CD

Why this works:

  • Each category pulls highly specific jobs

  • Candidates navigate directly to relevant roles

  • You can optimize each backfiller independently

  • Analytics show which categories perform best

Example 2: Healthcare job board

Instead of:

  • One backfiller: "Healthcare Jobs"

Do this:

  • Backfiller 1: Nursing

    • Titles: Registered Nurse, RN, Staff Nurse

    • Keywords: ICU, critical care, emergency, bedside

  • Backfiller 2: Allied Health

    • Titles: Physical Therapist, Occupational Therapist, Respiratory Therapist

    • Keywords: therapy, rehabilitation, PT, OT

  • Backfiller 3: Physicians

    • Titles: Physician, Medical Doctor, Hospitalist

    • Keywords: MD, board certified, residency

  • Backfiller 4: Administrative

    • Titles: Medical Assistant, Healthcare Administrator

    • Keywords: clinic, office, scheduling

Example 3: Remote job board

Instead of:

  • One backfiller: "Remote Jobs"

Do this:

  • Backfiller 1: Remote Tech

  • Backfiller 2: Remote Marketing

  • Backfiller 3: Remote Customer Support

  • Backfiller 4: Remote Design

Common Efficiency Mistakes

Mistake 1: Too Many Generic Keywords

Problem: Using keywords like "full-time, benefits, competitive salary" that appear in every job.

Impact: Keywords don't actually filter anything; you get the same results as having no keywords.

Solution: Use differentiating keywords that are specific to your niche.

Mistake 2: Ignoring Analytics

Problem: Setting up backfiller once and never reviewing performance.

Impact: You miss optimization opportunities and might be showing irrelevant jobs for months.

Solution: Check analytics weekly for first month, then monthly. Adjust based on CTR and application data.

Mistake 3: Geographic Mismatch

Problem: Running a Delhi job board but showing jobs from all of India.

Impact: Candidates in Delhi see jobs in Mumbai and Bangalore, get frustrated, leave.

Solution: Use Region field to narrow to your target city/state.

Mistake 4: No Category Structure

Problem: Putting all jobs in one "Jobs" category.

Impact: Candidates can't navigate efficiently, miss relevant jobs, engagement drops.

Solution: Create 3-5 specific categories that match how candidates think about job types.

Real-World Efficiency Examples

Case Study 1: Remote Python Jobs Board

Initial configuration:

  • Titles: "Software Engineer, Developer, Programmer, Engineer"

  • Keywords: "remote"

  • Result: 200 jobs, but includes Java, C++, frontend, QA—not Python-specific

CTR: 2.3% | Application rate: 0.8% | Revenue: $150/month

Optimized configuration:

  • Titles: "Python Developer, Python Engineer, Django Developer, Flask Developer, Backend Python Engineer"

  • Keywords: "remote, work from home, Python, Django, Flask, FastAPI, backend, AWS"

  • Result: 75 Python-specific jobs

CTR: 11.2% | Application rate: 6.5% | Revenue: $1,100/month

What changed: Hyper-specific titles and Python-focused keywords = 7x revenue with 62% fewer jobs.

Case Study 2: Gulf Nursing Board

Initial configuration:

  • Titles: "Nurse, RN, Healthcare"

  • Keywords: "UAE"

  • Result: 150 jobs, but includes healthcare admin, medical assistants, non-nursing roles

CTR: 4.1% | Application rate: 2.1% | Revenue: $280/month

Optimized configuration:

  • Titles: "Registered Nurse, ICU Nurse, Critical Care Nurse, OR Nurse, Staff Nurse"

  • Keywords: "UAE, Dubai, Abu Dhabi, DHA license, HAAD license, visa sponsorship, relocation, bedside nursing"

  • Result: 60 nursing-specific jobs in UAE with visa sponsorship

CTR: 13.8% | Application rate: 9.2% | Revenue: $950/month

What changed: Nursing-specific titles + licensing/visa keywords = 3.4x revenue with 60% fewer jobs.

Efficient backfilling is about precision, not volume. Start specific, monitor performance, and optimize based on real engagement data. Most successful Artha job boards earn $500-$2,000+ monthly from backfiller alone by focusing on quality matches over quantity.

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