Anonymized campaign observations, platform benchmarks and planning guidance for cost per lead, CTR, ad formats, geography, conversion location and seasonality.
Executive Summary
- The public first-party sample contains seven anonymized campaign observations with combined disclosed spend of BDT 760,000 and 8,717 reported outcomes. Outcomes are not directly interchangeable: the sample includes leads, orders and enrollments.
- Across four lead-generation observations, the spend-weighted cost per lead was BDT 54.53. The median observed CPL was BDT 29.17, while the range was BDT 21.74 to BDT 250.70. The wide range shows why Bangladesh advertisers should benchmark by industry, qualification standard and conversion definition.
- The two order-focused observations produced a spend-weighted cost per order of BDT 108.52. A separate education/coaching case reported BDT 432.69 per enrollment.
- The published first-party pages do not provide a complete, auditable set of impressions and clicks, so this report does not claim a proprietary average CTR. Instead, it provides transparent planning bands, an internal operating threshold and external Google Search reference benchmarks.
- The strongest format evidence in the observed sample supports instant lead forms for education and real estate, product-led and dynamic formats for ecommerce, video testimonials for higher-consideration services, and retargeting across multiple industries.
- No valid first-party paired test is publicly available for Dhaka versus nationwide targeting or instant forms versus website landing pages. The report therefore gives directional findings and a reproducible test design rather than presenting a false causal comparison.
- Seasonality matters most for ecommerce, fashion, food and promotional retail. Public Bangladesh reporting indicates online platforms have experienced 40% to 50% sales increases during the Eid shopping period, with daily orders rising materially through Ramadan.
| Headline metric | 2026 report finding | Interpretation |
|---|---|---|
| Lead campaigns included | 4 observations | Small sample; use ranges and medians |
| Spend-weighted observed CPL | ৳54.53 | Weighted by disclosed spend and reported leads |
| Median observed CPL | ৳29.17 | Less affected by the high-cost outlier |
| Observed lead CPL range | ৳21.74–৳250.70 | Industry and lead definition matter |
| Spend-weighted cost per order | ৳108.52 | Based on two disclosed order campaigns |
| First-party CTR average | Not available from public data | Requires campaign exports |
Methodology
This first edition combines anonymized figures publicly disclosed by Media BD Agency with platform documentation and external reference benchmarks. Campaigns were included only when spend and outcome counts allowed a cost-per-result calculation. Leads, orders and enrollments remain separate outcome classes.
Evidence classes
| Evidence class | Meaning | Use |
|---|---|---|
| Observed first-party campaign figure | Spend and outcome figures publicly disclosed by Media BD Agency | Cost-per-result calculations |
| External platform or market reference | Published by Google, Meta, DataReportal or benchmark publishers | Context and comparison |
| Editorial planning benchmark | Practical threshold proposed in this report | Planning only; not measured client data |
| Directional finding | Pattern supported by campaign descriptions without a controlled experiment | Format and targeting guidance |
Core formulas
| Metric | Formula | Qualification |
|---|---|---|
| CPL | Ad spend ÷ recorded leads | State raw, valid or qualified lead definition |
| CTR | Clicks ÷ impressions × 100 | Compare within the same network and objective |
| Website conversion rate | Conversions ÷ eligible visits × 100 | Use a consistent denominator |
| ROAS | Attributed revenue ÷ ad spend | Revenue is not profit |
Bangladesh Digital Audience Context
DataReportal reported 64.0 million active social media user identities in Bangladesh in October 2025. It also reported potential advertising reach of 64.0 million on Facebook, 49.8 million on YouTube, 56.2 million adults on TikTok, 35.0 million on Messenger, 12.0 million LinkedIn members and 9.15 million Instagram users. These platform figures use different definitions and should not be treated as guaranteed unique reach.
Anonymized Campaign Sample
The seven observations disclose a combined spend of ৳760,000 and 8,717 reported outcomes. The total should not be converted into one universal cost per result because outcome types differ.
| ID | Industry | Outcome | Spend | Reported outcomes | Cost / outcome | ROAS |
|---|---|---|---|---|---|---|
| A | Education institute | Lead | ৳10,000 | 300 | ৳33.33 | |
| B | Real estate | Lead | ৳50,000 | 2,000 | ৳25.00 | |
| C | Ecommerce | Lead | ৳50,000 | 2,300 | ৳21.74 | 3.0x |
| D | University admissions | Lead | ৳180,000 | 718 | ৳250.70 | |
| E | Fashion ecommerce | Order | ৳250,000 | 1,247 | ৳200.48 | 3.8x |
| F | Education / coaching | Enrollment | ৳135,000 | 312 | ৳432.69 | 4.2x |
| G | Restaurant / F&B | Order | ৳85,000 | 1,840 | ৳46.20 | 4.1x |
Average Cost per Lead by Industry
Where an industry has only one disclosed campaign, the value below is an observed case CPL rather than a population average. The four lead observations produced a spend-weighted CPL of ৳54.53, a simple mean of ৳82.69, and a median of ৳29.17.
| Industry / campaign type | n | Observed CPL | How to use it |
|---|---|---|---|
| Education institute | 1 | ৳33.33 | Observed case; compare with qualification rate |
| Real estate | 1 | ৳25.00 | Observed case; compare with qualification rate |
| Ecommerce | 1 | ৳21.74 | Observed case; compare with qualification rate |
| University admissions | 1 | ৳250.70 | Observed case; compare with qualification rate |
Planning bands
| Band | Indicative CPL | Interpretation |
|---|---|---|
| Very efficient raw leads | Below ৳30 | Verify contactability and intent |
| Efficient | ৳30–৳100 | Useful starting range for several local offers |
| Higher-cost or qualified | ৳100–৳300 | Can be reasonable for stricter qualification |
| High-value / high consideration | Above ৳300 | Judge pipeline value and conversion, not volume alone |
Click-Through Rate Benchmarks
The public first-party data do not provide enough impressions and clicks to calculate a portfolio average CTR. Media BD has published an operational example target of at least 1.5%. As an external 2026 Google Search reference, a cross-industry benchmark reported 3.41% overall, including 3.78% for education, 3.71% for real estate, 4.10% for ecommerce, 3.27% for health and medical, and 4.68% for travel and hospitality.
| Channel | Needs attention | Working range | Strong range |
|---|---|---|---|
| Meta feed / lead campaigns | Below 0.8% | 0.8%–1.49% | 1.5%+ |
| Google Search | Below 2.5% | 2.5%–3.49% | 3.5%+ |
| Google Display | Below 0.3% | 0.3%–0.6% | Above 0.6% |
These are planning bands, not measured Bangladesh portfolio averages. CTR must be read together with CPL, conversion rate, frequency, search-term quality and final business outcomes.
Best-Performing Ad Formats
“Best-performing” here means best supported by the available campaign descriptions, not proven through a controlled portfolio analysis.
| Industry | Best-supported format | Primary KPI |
|---|---|---|
| Education | Instant forms, webinar registration and lookalikes | Valid leads and enrollments |
| Real estate | Lead forms, video testimonials and hyper-local targeting | Qualified leads, site visits and bookings |
| Ecommerce | Advantage+ Shopping, dynamic product ads and retargeting | Orders, cost per order and ROAS |
| Restaurant / F&B | Offer-led image or video ads with local targeting | Orders and new-customer share |
| Healthcare | Educational video, search ads and service pages | Qualified inquiries and appointments |
Dhaka Versus Nationwide Targeting
The available sample does not contain a clean paired experiment, so the report does not claim a numerical Dhaka uplift. Use Dhaka-first targeting for location-dependent services and nationwide targeting where fulfillment and follow-up are genuinely national.
| Dimension | Dhaka / selected city | Nationwide |
|---|---|---|
| Best fit | Property, clinics, restaurants, local services | Ecommerce, apps, national education and awareness |
| Audience | Smaller and concentrated | Larger and more diverse |
| Likely cost pattern | Higher auction concentration | Cheaper reach or raw responses may be possible |
| Quality risk | Saturation and frequency | Serviceability and regional quality variation |
| Measurement | Cost per qualified local lead | Cost per qualified lead plus region-level fulfillment |
Recommended test
- Use the same offer and creative family.
- Separate Dhaka and rest-of-Bangladesh ad sets.
- Run equal-budget tests for 7–14 days.
- Compare raw CPL, valid-lead rate, qualified-lead rate and sales.
- For ecommerce, add delivery, cancellation and return rates.
Lead Forms Versus Website Conversion
Meta instant forms reduce friction because the user remains inside the platform. Higher-intent forms can add review or verification steps. Website landing pages provide more information and qualification but introduce page-speed and mobile usability risks.
| Factor | Instant form | Website landing page |
|---|---|---|
| Volume | Usually higher | Usually lower without a strong page |
| Information depth | Limited | High |
| Qualification | Questions and higher-intent form type | Content, logic and multi-step form |
| Tracking | Platform-native plus CRM integration | Pixel/CAPI, GA4 and server-side tracking |
| Best fit | Admissions, property inquiry, local services | B2B and complex high-value decisions |
| Main risk | Low-intent or inaccurate entries | Page abandonment and broken tracking |
No valid paired first-party comparison was available. A numeric claim would be unsupported. Run a controlled split test and compare cost per qualified lead rather than only form-submission rate.
Seasonal Trends
Bangladesh ecommerce reporting cited by The Daily Star indicates online platforms have experienced roughly 40%–50% sales growth during Eid shopping periods, with daily orders rising from about 250,000 at the beginning of Ramadan to 350,000. Seasonal opportunity and media competition can increase together.
| Period | Stronger industries | Planning action |
|---|---|---|
| Pre-Ramadan and Eid | Fashion, ecommerce, food, electronics and gifts | Test four to six weeks early and protect fulfillment capacity |
| Pohela Boishakh | Fashion, food, retail, finance and events | Use localized creative and short campaign windows |
| Admission cycles | Schools, coaching, universities and training | Use deadline messaging and counselor response SLAs |
| Eid-ul-Adha | Food, retail, appliances, travel and remittance | Separate awareness and last-mile conversion phases |
| 11.11 / year-end / winter | Ecommerce, apparel, electronics and travel | Track delivered orders and margin, not only platform purchases |
| Corporate planning cycles | B2B, software, professional services and PR | Use longer nurturing and pipeline metrics |
Measurement and Data Governance
A benchmark is only useful when conversion definitions are consistent. Separate raw, valid, qualified and sales-accepted leads.
| Level | Definition | Use |
|---|---|---|
| Raw lead | Any submission, call or message | Top-level volume |
| Valid lead | Usable, non-duplicate contact | Operational CPL |
| Qualified lead | Meets location, budget, service and intent rules | Cross-campaign benchmark |
| Sales-accepted lead | Sales team accepts the opportunity | Pipeline forecasting |
| Customer / order / enrollment | Completed commercial action | ROAS and business impact |
Minimum fields for the next edition
Campaign ID, platform, industry, geography, dates, spend, impressions, reach, clicks, landing-page views, form opens, submissions, valid leads, qualified leads, appointments, orders or enrollments, revenue, format, placement, attribution window and seasonal flag.
Limitations
- The first-party sample is small and drawn from publicly disclosed examples rather than a complete Ads Manager export.
- Some campaign pages publish outcomes without impressions, clicks, placements or attribution windows.
- The sample combines different industries, objectives, offers and outcome definitions.
- Published campaign numbers are first-party claims and were not independently audited for this report.
- The report excludes a public record whose spend, lead count and stated CPL did not reconcile arithmetically.
- External Google Ads benchmarks are global and should not be treated as Bangladesh-specific prices.
- Platform potential-reach estimates are not the same as unique active users or guaranteed campaign reach.
- Seasonal observations describe directional market behavior and should be confirmed using each advertiser’s account history.
Citation and Reuse
Websites, media and researchers may quote short findings or reproduce individual tables with attribution and a link to the original report.
Media BD Agency. (2026). Bangladesh Digital Advertising Benchmark Report 2026. Dhaka, Bangladesh. Suggested URL: https://mediabdagency.com/bangladesh-digital-advertising-benchmark-report-2026/
References
- Media BD Agency homepage and anonymized campaign examples — https://mediabdagency.com/
- Media BD Agency Facebook advertising page and published campaign figures — https://mediabdagency.com/facebook-advertising-agency-in-bangladesh/
- Media BD Agency advertising cost guide and campaign examples — https://mediabdagency.com/advertising-cost-in-bangladesh-complete-guide-for-2026/
- Media BD Agency media-buying planning guide — https://mediabdagency.com/step-by-step-media-buying-plan-for-a-company-in-bangladesh/
- DataReportal, Digital 2026: Bangladesh — https://datareportal.com/reports/digital-2026-bangladesh
- Google Ads Help, click-through rate definition — https://support.google.com/google-ads/answer/2615875?hl=en
- WordStream, Google Ads Benchmarks 2026 — https://www.wordstream.com/blog/2026-google-ads-benchmarks
- Ryze, Google Ads Benchmarks 2026 by industry — https://www.get-ryze.ai/blog/google-ads-cost-benchmarks-by-industry-2026
- Meta Business Help, lead ads with instant forms — https://www.facebook.com/business/help/761812391313386
- Meta Business Help, instant form types and higher-intent forms — https://www.facebook.com/business/help/252352181957512
- The Daily Star, evolution of Eid shopping — https://www.thedailystar.net/tech-startup/news/the-evolution-eid-shopping-physical-digital-space-3855086
- DHL Express Bangladesh, ecommerce trends in Bangladesh — https://www.dhl.com/discover/en-bd/e-commerce-advice/e-commerce-trends/what-is-e-commerce-2025-blangladeshi-trends