How to Target by Income and Profession on Facebook Ads in 2026

By Rafirit Station Editorial Team · Updated 2026 · ⏱ 12 min read

Facebook Ads now offers unprecedented precision for income and profession targeting. According to Statista, 38% of Facebook users in Bangladesh belong to middle- to high-income brackets, yet most advertisers ignore this data. The result? Wasted budgets and missed opportunities.

Why does this matter now? In 2025, Meta updated its audience controls, making detailed demographic targeting (including income and job titles) more granular than ever. Combined with Dhaka’s booming digital economy—home to 15 million+ Facebook users—businesses can now reach doctors, engineers, business owners, and high-net-worth individuals with surgical precision.

The cost of inaction is steep. A Dhaka-based e-commerce store recently told us they were spending ৳120,000/month on broad targeting, with a cost-per-lead of ৳450. After switching to income-filtered audiences, their cost-per-lead dropped to ৳180—a 60% reduction. That’s a savings of ৳90,000 monthly.

By the end of this guide, you’ll know exactly how to set up income and profession targeting in Facebook Ads Manager, which filters to combine for maximum impact, and how to measure success. No fluff—just actionable steps.

📚 External Resources (Bookmark These)

• Meta Ads Targeting Guide
• Facebook Marketing API Audiences
• HubSpot: Facebook Ad Targeting 2026
• Moz: Advanced Facebook Targeting
• Semrush: Facebook Ad Targeting Tips
• Ahrefs: Facebook Ads Guide
• Backlinko: Facebook Targeting Strategies
• Shopify Blog: Facebook Ad Targeting
• Neil Patel: Facebook Targeting Guide
• Sprout Social: Facebook Targeting 101

🔗 Rafirit Station Services

• Meta Ads Management — Facebook & Instagram
• Facebook Ads Dhaka — Local paid social team
• Landing Page Design — High-converting pages
• CRO Services — Better ad ROI
• Web Analytics — Track your ad performance
• Case Studies — Facebook Ads wins
• Packages & Pricing
• Rafirit Station Bangladesh — Digital Agency
• Rafirit Station Dhaka — Full-Service Agency

Phase 1: Understanding Facebook’s Income and Profession Data

Before diving into setup, you need to know what data Facebook actually has. Income targeting is based on user-provided information, purchase behavior, and third-party data. Profession targeting relies on job titles from profiles and inferred industry signals. In Bangladesh, Meta’s algorithms rely heavily on patterns from Dhaka’s urban population.

Tactic 1.1: Know the Income Brackets

Why this works: Facebook categorizes users into income ranges (top 10%, top 25%, etc.). For Bangladesh, the top 10% earners in Dhaka roughly correlate with household income > ৳100,000/month. Using this filter excludes price-sensitive leads.

Exactly how to do it:

1. Go to Ads Manager → Create Audience → Detailed Targeting.
2. Browse for “Income” under Demographics.
3. Select “Top 10% (High)” for Bangladesh market.
4. Also exclude “Low income” brackets to avoid waste.
5. Layer with location: Dhaka city only.
6. Save as a saved audience for reuse.
7. Test two variations: one with income only, one with income + interests.

Pro script / template: For a financial service ad: Audience = Dhaka · Age 25-55 · Income: Top 10% · Interests: “Investing” OR “Stock market”.

📊 Expected results: 30-40% lower cost per conversion within 2 weeks, based on our client data.

Tactic 1.2: Understand Profession Categories

Why this works: Facebook’s profession data includes job roles like doctors, engineers, teachers, business owners, and executives. In Dhaka, the most valuable are business owners and senior executives.

Exactly how to do it:

1. In Detailed Targeting, search for “Job Title”.
2. Type specific titles: “Business Owner”, “CEO”, “Doctor”, “Engineer”.
3. Facebook often shows suggested categories—select all relevant.
4. Combine with industry filters (e.g., “Healthcare”, “IT”).
5. Use “And” connections to narrow further (e.g., job title = Doctor AND industry = Healthcare).
6. Review audience size—aim for 100k-500k for sufficient reach.
7. Save as a custom audience for future campaigns.

Pro script / template: For a premium clinic: Location = Dhaka · Job title = “Doctor” OR “Surgeon” · Age 30-55 · Income = Top 10%.

📊 Expected results: 2-3x higher click-through rate (CTR) on ads tailored to professional audiences.

Phase 2: Setting Up Income Targeting in Ads Manager

Now, let’s walk through the actual setup. We’ll focus on Bangladesh-specific filters.

Tactic 2.1: Filter by Household Income

Why this works: Household income is a proxy for disposable income. In Bangladesh, top 10% earners in Dhaka spend 5x more than median on luxury goods.

Exactly how to do it:

1. Create a new campaign → choose objective (e.g., Sales).
2. At the ad set level, click “Saved Audiences” or “Create New Audience”.
3. Under Detailed Targeting, select “Demographics” → “Income”.
4. Check “Top 10% (High)” and “Top 25% (Upper Middle)”.
5. Set location to Dhaka Division (including surrounding areas).
6. Add age range 25-55 and both genders.
7. Use “Narrow Further” to add interest: e.g., “Real Estate” for property ads.

Pro script / template: For a luxury watch brand: Income = Top 10% · Location = Dhaka City · Age 35-50 · Interests = “Rolex” OR “Luxury goods”.

📊 Expected results: 50% increase in average order value (AOV) from income-targeted campaigns vs. non-targeted.

Tactic 2.2: Use Education and Job Industry as Proxies

Why this works: Income data isn’t always available for all users. Combining education (e.g., “MBA”) with job industry (e.g., “Finance”) increases accuracy.

Exactly how to do it:

1. In Detailed Targeting, search for “Education”.
2. Select “MBA” or “Master’s Degree”.
3. Under “Work”, select industry “Financial Services” or “Real Estate”.
4. Set location to Dhaka.
5. Use “Include people who match at least one of” for broader reach.
6. Exclude students to focus on professionals.
7. Preview audience: should be 50k-200k.

Pro script / template: For a B2B software: Education = Master’s degree OR MBA · Industry = Technology · Job role = “Manager” OR “Director” · Location = Dhaka.

📊 Expected results: 25% higher lead quality score (as measured by conversion rate).

Phase 3: Setting Up Profession Targeting

Profession targeting requires a mix of job titles and industry filters. Let’s break it down.

Tactic 3.1: Target Specific Job Titles

Why this works: Facebook allows you to target job titles directly. For example, “Business Owner” or “CEO” are available as precise targets.

Exactly how to do it:

1. In Detailed Targeting, type “Business Owner” in the search bar.
2. Select the pre-defined category (often under “Demographics > Work > Job Titles”).
3. Add other titles like “Entrepreneur”, “Founder”, “Partner”.
4. Combine with industry: e.g., “Business Owner” AND industry “Retail”.
5. Set location to Dhaka and age to 25-55.
6. Use “And” to require both job title and industry for higher relevance.
7. Exclude employees of specific companies if needed.

Pro script / template: For a business consulting service: Job title = “Business Owner” OR “CEO” · Industry = “Professional Services” · Location = Dhaka · Age 30-60.

📊 Expected results: 4-5x conversion rate for high-ticket services targeting business owners.

Tactic 3.2: Use Industry + Seniority Combinations

Why this works: If specific job titles are scarce, combine industry with seniority levels like “Manager” or “Director”.

Exactly how to do it:

1. Search for “Senior” or “Manager” under job titles.
2. Select relevant titles (e.g., “Operations Manager”, “Marketing Manager”).
3. Narrow by industry: “Healthcare”, “IT”, “Finance”.
4. Layer with location and age.
5. Use “And” to require both job title and industry.
6. Test different seniorities (e.g., “Executive” vs. “Director”).
7. Monitor audience size: if too small (<1000), broaden by removing a filter.

Pro script / template: For a leadership training program: Job title = “Manager” OR “Director” OR “Head” · Industry = Any · Age 35-55 · Location = Dhaka.

📊 Expected results: 20% lower CPL compared to broad targeting within the same industries.

Phase 4: Combining Income and Profession for Hyper-Targeted Campaigns

The real magic happens when you combine both filters. Here’s how to do it effectively.

Tactic 4.1: Build a High-Value Audience (Income + Profession + Location)

Why this works: Income ensures financial capacity; profession ensures relevance. For luxury services, this is a killer combination.

Exactly how to do it:

1. Create new audience in Ads Manager.
2. Add income filter: Top 10% (High) OR Top 25% (Upper Middle).
3. Add profession filter: Job title = “Business Owner” OR “Doctor” OR “Engineer”.
4. Set location = Dhaka division.
5. Set age = 30-60 (adjust based on product).
6. Use “Narrow Further” to require both income AND profession (AND logic).
7. Preview size—should be at least 50,000 for scalability.

Pro script / template: For a premium dental clinic: Income = Top 10% · Job title = “Business Owner” OR “Doctor” · Location = Dhaka City · Age 35-55.

📊 Expected results: 30-50% increase in appointment bookings compared to generic targeting.

Tactic 4.2: Create a Lookalike Audience from Income + Profession Segments

Why this works: Once you have a core audience of high-income professionals, Facebook can find similar users who aren’t explicitly labeled but share behaviors.

Exactly how to do it:

1. Build a custom audience from your high-income, high-profession audience (use the audience from tactic 4.1).
2. Go to Audiences → Create Lookalike Audience.
3. Select source (custom audience of at least 1,000 users).
4. Choose audience size: 1% (most similar) to 5% (broader). Start with 1%.
5. Set location to Bangladesh or Dhaka.
6. Create your ad set targeting this lookalike.
7. Monitor performance; compare to original segment.

Pro script / template: For a wealth management firm: Source audience = High income (top 10%) + Job title “Business Owner” (Dhaka) · Lookalike 1% · New ad set targeting that lookalike.

📊 Expected results: 20-30% more conversions at similar CPA within 2-3 weeks, as lookalikes often expand reach without quality loss.

🏆 Real Case Study: How a Dhaka-Based Dental Clinic Achieved 4x ROAS

BEFORE: A premium dental clinic in Gulshan, Dhaka, was spending ৳80,000/month on Facebook Ads targeting everyone in Dhaka aged 25-50. They were getting 20 leads/month at ৳4,000/lead, but only 5 appointments—a cost of ৳16,000 per booked patient. Revenue per patient averaged ৳30,000, so ROAS was 1.9x.

THE EXACT STRATEGY WE IMPLEMENTED:

1. Switched audience to top 10% income earners in Dhaka (estimated 200k users).
2. Added profession filters: Business Owner, Doctor, Senior Executive, Lawyer.
3. Narrowed location to Gulshan, Banani, Baridhara (wealthy neighborhoods).
4. Used ad copy highlighting “implant specialists” and “pain-free procedures”.
5. Set up a website retargeting campaign for visitors who didn’t book.
6. Created a lookalike audience from the best converters.
7. Optimized landing page for mobile with instant booking calendar.

AFTER RESULTS (6 weeks):

• Spend per month: ৳60,000 (reduced by 25%)
• Leads per month: 45 (125% increase)
• Cost per lead: ৳1,333 (67% decrease)
• Appointments per month: 18 (260% increase)
• Cost per appointment: ৳3,333 (79% decrease)
• Revenue: ৳540,000 (from 18 appts. × ৳30,000)
• ROAS: 9.0x (from 1.9x)

Client quote: “I was skeptical about targeting by income—thought it would shrink my audience. Within a month, our patient bookings tripled and our ad cost halved. Rafirit Station transformed our Facebook Ads.” — Dr. Nusrat Jahan, Owner of Glow Dental Studio, Dhaka.

See more Rafirit Station case studies →

✅ Income & Profession Targeting Checklist

❓ Frequently Asked Questions

🎯 The Bottom Line

Income and profession targeting on Facebook Ads isn’t just a luxury—it’s a necessity for businesses aiming for high ROI in Dhaka’s competitive market. The counterintuitive insight? You don’t need a massive audience. In fact, narrowing your audience to top earners and specific professions increases relevance and engagement, slashing wasted spend.

We’ve seen firsthand that advertisers who ignore this data leave 40-60% of potential revenue on the table. The tools are free—you just need to implement them correctly. Start with one campaign, test the filters, and iterate.

Remember: Facebook’s algorithms reward precise targeting. The more specific your audience, the better your ad score, and the lower your costs. This is especially true in Bangladesh, where the platform is still maturing its demographic data.

⚡ Your Next Step (Do This Today)

1. Log into Facebook Ads Manager and create a new saved audience with income targeting (top 10% or 25%) for Dhaka.
2. Add 5 profession filters relevant to your business (e.g., Business Owner, Doctor, Engineer).
3. Check audience size—if below 50k, remove the most restrictive filter.
4. Write one ad creative tailored to that specific audience (e.g., “You’ve earned the best”).
5. Set a campaign budget of ৳5,000 daily and run for 7 days.

💬 Drop “TARGETING” in the comments and we’ll send you our free Income & Profession Targeting Checklist — no email required.