How representative is the sample of India's full BTL universe?

22,500+ submissions across 30 cities, 16 mediums, and 12 industries from 32+ enterprise brands. Sample is statistically representative within enterprise BTL. As platform coverage expands, future editions will deepen tier-3 and rural representation.

Why is the A+ tier empty?

The 90+ threshold was set deliberately high. No Indian city currently maintains anomaly rates below 10% across all 16 mediums simultaneously. The empty tier creates room for improvement to be visible in future editions.

Can the rankings change in the 2027 Index?

Yes. Cities adopting Proof Before Payment frameworks early are expected to gain 3–5 points YoY. Cities without active adoption may stagnate or slip.

Why does Mumbai rank above Bangalore?

Marginal. The 0.7-point gap is within statistical noise. Bangalore leads in technology-mediated mediums; Mumbai leads in retail and visual merchandising.

Why is the East & Northeast region underperforming?

Three structural reasons: supervision density per BTL campaign is lower, vendor pools are more fragmented, and the historical cost of verification was highest. As verification cost has dropped 80% in 24 months, these regions are expected to converge with Western India by 2028-29.

Should brands stop running BTL in tier-D and tier-C cities?

No. These are the geographies with the largest upside under FEI adoption. The accountability gap is also the unlocked savings opportunity.

How does this compare with BARC, ABC, or RAM for digital and broadcast media?

BARC, ABC, RAM are continuous measurement bodies for specific channels. The India BTL Fraud Index is an annual cross-channel accountability ranking using verified platform data. Complementary, not equivalent.

Will Gartner, Forrester, or IDC cover this category?

Expected by 2027-28 as Field Execution Intelligence becomes formally recognised. gOGig Labs research is the data foundation analyst firms will build on.

Can individual brand performance be benchmarked against this Index?

Yes. Brands using gOGig can compare their verified execution rate against the Index city / medium / industry scores. This identifies specific accountability gaps to address.

How can the Index be referenced in board reviews or BRSR Core disclosures?

As external benchmark. Boards can compare a brand's verified execution rate to peer industry score, and BRSR Core teams can substantiate value chain accountability disclosures with reference to Index methodology.

When does the 2027 Index publish?

May 2027. Sample size expected to grow to 50,000+ submissions. Coverage expected to expand to 40–45 cities and 14+ industries.

How representative is the sample of India's full BTL universe?

22,500+ submissions across 30 cities, 16 mediums, and 12 industries from 32+ enterprise brands. Sample is statistically representative within enterprise BTL. As platform coverage expands, future editions will deepen tier-3 and rural representation.

Why is the A+ tier empty?

The 90+ threshold was set deliberately high. No Indian city currently maintains anomaly rates below 10% across all 16 mediums simultaneously. The empty tier creates room for improvement to be visible in future editions.

Can the rankings change in the 2027 Index?

Yes. Cities adopting Proof Before Payment frameworks early are expected to gain 3–5 points YoY. Cities without active adoption may stagnate or slip.

Why does Mumbai rank above Bangalore?

Marginal. The 0.7-point gap is within statistical noise. Bangalore leads in technology-mediated mediums; Mumbai leads in retail and visual merchandising.

Why is the East & Northeast region underperforming?

Three structural reasons: supervision density per BTL campaign is lower, vendor pools are more fragmented, and the historical cost of verification was highest. As verification cost has dropped 80% in 24 months, these regions are expected to converge with Western India by 2028-29.

Should brands stop running BTL in tier-D and tier-C cities?

No. These are the geographies with the largest upside under FEI adoption. The accountability gap is also the unlocked savings opportunity.

How does this compare with BARC, ABC, or RAM for digital and broadcast media?

BARC, ABC, RAM are continuous measurement bodies for specific channels. The India BTL Fraud Index is an annual cross-channel accountability ranking using verified platform data. Complementary, not equivalent.

Will Gartner, Forrester, or IDC cover this category?

Expected by 2027-28 as Field Execution Intelligence becomes formally recognised. gOGig Labs research is the data foundation analyst firms will build on.

Can individual brand performance be benchmarked against this Index?

Yes. Brands using gOGig can compare their verified execution rate against the Index city / medium / industry scores. This identifies specific accountability gaps to address.

How can the Index be referenced in board reviews or BRSR Core disclosures?

As external benchmark. Boards can compare a brand's verified execution rate to peer industry score, and BRSR Core teams can substantiate value chain accountability disclosures with reference to Index methodology.

When does the 2027 Index publish?

May 2027. Sample size expected to grow to 50,000+ submissions. Coverage expected to expand to 40–45 cities and 14+ industries.

The India BTL Fraud Index 2026: city-by-city rankings of execution accountability

The first annual ranking of India's BTL execution accountability across 30 cities, 16 mediums, and 12 industries. Built on the gOGig platform's verified submission dataset. The reference document for every BTL story published in 2026.

gOGig Editorial

·July 8, 2025·12 min read

Summarize with AI

ChatGPT Claude Gemini Perplexity Grok

India BTL Fraud Index 2026

Cities ranked by Execution Accountability Score. Higher score = lower anomaly rate, higher verification integrity, lower fraud exposure.

30Cities ranked

16Mediums ranked

12Industries ranked

22,500+Submissions analysed

For the first time in Indian marketing, BTL execution accountability has been quantified at the city level. The Index reveals which Indian cities verify what they spend, and which cities still operate on photo proofs and self-reported execution.

Methodology in five steps

Sample

22,500+ field submissions analysed between October 2025 and April 2026 across the gOGig platform. Stratified across 30 cities representing tier-1 metros, tier-2 cities, and tier-3 hubs. Covers 16 BTL mediums and 12 industries.

Verification dimensions

Each submission evaluated across 9 dimensions: GPS integrity, EXIF metadata, server-side timestamp, mock-location flag, image fingerprint uniqueness, accelerometer cross-check, geo-fence violations, clustering anomaly, and image quality.

Execution Accountability Score

100-point scale. Higher score = lower anomaly rate, higher verification integrity. Calculated as: 100 - (weighted anomaly rate x 100), with weighting by anomaly severity.

Tier classification

Cities classified into 5 tiers: A+ (90–100), A (80–89), B (70–79), C (60–69), D (below 60). Cuts are based on natural breaks in the underlying distribution.

Anonymisation

All findings reported by city, medium, and industry in aggregate. No individual brand, agency, or vendor is identifiable. This is a research publication, not an audit disclosure.

The headline ranking: India BTL Fraud Index 2026

Rank	City	Accountability Score	Anomaly Rate	Tier
1	Mumbai	88.6	11.4%	A
2	Bangalore	87.9	12.1%	A
3	Delhi NCR	86.3	13.7%	A
4	Hyderabad	85.7	14.3%	A
5	Pune	84.8	15.2%	A
6	Chennai	84.2	15.8%	A
7	Kolkata	83.4	16.6%	A
8	Ahmedabad	82.6	17.4%	A
9	Chandigarh	81.1	18.9%	A
10	Coimbatore	80.4	19.6%	A
11	Surat	79.2	20.8%	B
12	Gurgaon	78.7	21.3%	B
13	Noida	78.1	21.9%	B
14	Jaipur	77.5	22.5%	B
15	Indore	76.4	23.6%	B
16	Vadodara	75.8	24.2%	B
17	Lucknow	74.7	25.3%	B
18	Nagpur	73.9	26.1%	B
19	Kochi	73.2	26.8%	B
20	Visakhapatnam	72.6	27.4%	B
21	Bhopal	71.4	28.6%	B
22	Trichy	70.8	29.2%	B
23	Patna	68.9	31.1%	C
24	Kanpur	67.6	32.4%	C
25	Ranchi	66.5	33.5%	C
26	Raipur	65.8	34.2%	C
27	Guwahati	64.7	35.3%	C
28	Bhubaneswar	63.5	36.5%	C
29	Varanasi	61.8	38.2%	C
30	Agartala	59.4	40.6%	D

A 29.2-point spread separates the top-ranked city (Mumbai 88.6) from the lowest-ranked city (Agartala 59.4). Indian BTL execution accountability is not uniform - it is geographically structural.

Tier breakdown of the 30 cities

Tier A+ (Score 90–100, exemplary accountability): None of the 30 cities reached this tier in 2026. The bar for A+ is set deliberately high to leave room for improvement as the category matures.

Tier A (Score 80–89, strong accountability): 10 cities. Mumbai, Bangalore, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad, Chandigarh, Coimbatore. Combined share of platform submissions: 51%.

Tier B (Score 70–79, building accountability): 12 cities including Surat, Gurgaon, Noida, Jaipur, Indore, Vadodara, Lucknow, Nagpur, Kochi, Visakhapatnam, Bhopal, Trichy. Combined share of platform submissions: 32%.

Tier C (Score 60–69, weak accountability): 7 cities including Patna, Kanpur, Ranchi, Raipur, Guwahati, Bhubaneswar, Varanasi. Combined share of platform submissions: 14%.

Tier D (Score below 60, poor accountability): 1 city (Agartala). Reflects very limited supervision density and significant rural BTL exposure. Combined share of platform submissions: 3%.

Regional accountability patterns

Region	Cities	Average score	Average anomaly rate
West India	Mumbai, Pune, Ahmedabad, Surat, Vadodara, Indore, Bhopal, Nagpur	79.3	20.7%
South India	Bangalore, Hyderabad, Chennai, Coimbatore, Kochi, Visakhapatnam, Trichy	78.4	21.6%
North India	Delhi NCR, Gurgaon, Noida, Chandigarh, Jaipur, Lucknow, Kanpur, Varanasi	74.4	25.6%
East & Northeast India	Kolkata, Patna, Ranchi, Raipur, Guwahati, Bhubaneswar, Agartala	67.8	32.2%

Regional spread highlights

West IndiaBest performing region

East & NE IndiaLowest performing region

11.5 pointsRegional spread

Profile cards: top 5 cities

Mumbai -- Rank 1

Metric	Detail
Accountability Score	88.6 / 100
Anomaly Rate	11.4%
Sample size	3,540 submissions
Dominant medium	Visual merchandising, retail audits
Driver of strong score	High supervisor density, mature agency ecosystem, organised retail concentration
Top fraud risk	Manual reporting manipulation in promoter activations

Bangalore -- Rank 2

Metric	Detail
Accountability Score	87.9 / 100
Anomaly Rate	12.1%
Sample size	3,350 submissions
Dominant medium	Mall activations, technology sector field force
Driver of strong score	Tech-enabled vendors, high digital infrastructure, structured procurement
Top fraud risk	Lead generation fabrication at IT-park activations

Delhi NCR -- Rank 3

Metric	Detail
Accountability Score	86.3 / 100
Anomaly Rate	13.7%
Sample size	3,120 submissions
Dominant medium	OOH hoardings, transit branding, large-scale activations
Driver of strong score	Concentration of large enterprises and ad spend
Top fraud risk	OOH proof recycling across Gurgaon-Noida-Delhi triangle

Hyderabad -- Rank 4

Metric	Detail
Accountability Score	85.7 / 100
Anomaly Rate	14.3%
Sample size	2,070 submissions
Dominant medium	Pharma field force, retail visibility
Driver of strong score	Pharma cluster discipline, structured retail audits
Top fraud risk	Medical representative DCR manipulation

Pune -- Rank 5

Metric	Detail
Accountability Score	84.8 / 100
Anomaly Rate	15.2%
Sample size	1,890 submissions
Dominant medium	Auto sector dealer branding, residential society activations
Driver of strong score	Manufacturing belt visibility discipline
Top fraud risk	Wall painting recycled proofs in Pune-Nashik corridor

Profile cards: bottom 5 cities

Agartala -- Rank 30

Metric	Detail
Accountability Score	59.4 / 100
Anomaly Rate	40.6%
Sample size	385 submissions
Dominant medium	Wall painting, rural BTL activations
Driver of weak score	Sparse supervision, remote geography, limited verification history
Top fraud risk	Proof recycling and route deviation in mobile van campaigns

Varanasi -- Rank 29

Metric	Detail
Accountability Score	61.8 / 100
Anomaly Rate	38.2%
Sample size	450 submissions
Dominant medium	Religious tourism activations, FMCG retail
Driver of weak score	Fragmented vendor pool, low digital literacy in field force
Top fraud risk	Ghost retail coverage in semi-urban distribution

Bhubaneswar -- Rank 28

Metric	Detail
Accountability Score	63.5 / 100
Anomaly Rate	36.5%
Sample size	485 submissions
Dominant medium	FMCG general trade, OOH hoardings
Driver of weak score	Tier-2 transition still in progress, manual reporting dominant
Top fraud risk	Duplicate retailer onboarding in coastal distribution

Guwahati -- Rank 27

Metric	Detail
Accountability Score	64.7 / 100
Anomaly Rate	35.3%
Sample size	420 submissions
Dominant medium	Northeast distribution hub, retail audits
Driver of weak score	Geographic dispersion across NE states, limited verification baseline
Top fraud risk	Field force productivity leakage on multi-state routes

Raipur -- Rank 26

Metric	Detail
Accountability Score	65.8 / 100
Anomaly Rate	34.2%
Sample size	510 submissions
Dominant medium	Cement and paint BTL, rural extension activations
Driver of weak score	Distributor-dominated supply chains, sparse audit infrastructure
Top fraud risk	Wall painting proof recycling in semi-rural belt

Download the India BTL Fraud Index 2026.

Sixty-page PDF with all 30 city profiles, all 16 medium rankings, all 12 industry rankings, methodology disclosure, and forward-looking trends. Free for industry research, press, brand teams, and investors.

Download the Index report →

Cities by tier classification

Tier A (10 cities)	Tier B (12 cities)	Tier C (7 cities)	Tier D (1 city)
Mumbai	Surat	Patna	Agartala
Bangalore	Gurgaon	Kanpur
Delhi NCR	Noida	Ranchi
Hyderabad	Jaipur	Raipur
Pune	Indore	Guwahati
Chennai	Vadodara	Bhubaneswar
Kolkata	Lucknow	Varanasi
Ahmedabad	Nagpur
Chandigarh	Kochi
Coimbatore	Visakhapatnam
	Bhopal
	Trichy

The medium ranking: 16 BTL formats by accountability

Rank	Medium	Accountability Score	Anomaly Rate
1	Bus & cab branding	87.9	12.1%
2	Shop name boards	85.5	14.5%
3	Visual merchandising	83.8	16.2%
4	Vendor work completion	83.2	16.8%
5	Pole boards	82.1	17.9%
6	Wall painting	81.6	18.4%
7	Technician verification	81.2	18.8%
8	OOH hoardings	80.4	19.6%
9	Retail visibility audits	80.3	19.7%
10	RWA / society activation	78.6	21.4%
11	Auto rickshaw branding	78.1	21.9%
12	Sampling drives	75.9	24.1%
13	Mobile van & roadshow	73.5	26.5%
14	Promoter activations	72.2	27.8%
15	Field sales visits	65.8	34.2%
16	Lead generation activation	62.4	37.6%

Most accountable mediums (top 5)

Medium	Why it ranks high
Bus & cab branding	Vehicle ID makes duplication detection straightforward
Shop name boards	Outlet-level photo verifiability with before/after
Visual merchandising	Outlet-level photo + compliance checklist combination
Vendor work completion	Multi-checkpoint workflow reduces single-point manipulation
Pole boards	Geographic discreteness limits cluster-style fraud

Least accountable mediums (bottom 5)

Medium	Why it ranks low
Lead generation activation	Lead validity inherently hard to verify, fabrication common
Field sales visits	Executor = reporter, GPS spoofing common, supervision sparse
Promoter activations	Duration manipulation, fake attendance, idle time inflation
Mobile van & roadshow	Route deviation common, geographic scope creates oversight gaps
Sampling drives	Stock movement difficult to track per unit at scale

The industry ranking: 12 industries by accountability

Rank	Industry	Accountability Score	Anomaly Rate
1	BFSI (banks, NBFCs, insurance)	86.4	13.6%
2	Information Technology & ITES	85.2	14.8%
3	Telecom & consumer durables	83.7	16.3%
4	FMCG (modern trade focus)	82.5	17.5%
5	Pharma	81.8	18.2%
6	Auto & 2-wheeler	79.4	20.6%
7	QSR & multi-outlet retail	78.7	21.3%
8	FMCG (general trade focus)	76.2	23.8%
9	Edtech	74.5	25.5%
10	Real estate & construction	72.8	27.2%
11	Cement & paint	69.4	30.6%
12	D2C brands	67.9	32.1%

Why BFSI leads industry rankings

Driver	Impact on score
Internal audit team strength	Highest in any sector
Regulatory compliance culture	RBI / IRDAI / SEBI oversight extends to vendor relationships
Procurement governance maturity	3-way matching applied across categories
CFO engagement on marketing	Highest among industries
BRSR Core readiness	Most listed entities, earliest mover

Why D2C brands rank lowest

Driver	Impact on score
Lean teams	Limited bandwidth for verification
Recent entry to BTL	No legacy verification infrastructure
Fragmented vendor mix	Multiple small agencies, no standardised governance
Heavy promoter dependence	Format with second-lowest accountability
Cash-burn culture	Verification often deprioritised

Cross-section: best city x medium combinations

City	Best-performing medium	Medium-specific score
Mumbai	Visual merchandising	92.4
Bangalore	Shop name boards	91.2
Delhi NCR	OOH hoardings	89.8
Hyderabad	Technician verification	89.3
Pune	Bus & cab branding	91.6
Chennai	Retail visibility audits	88.5
Kolkata	Pole boards	86.7
Ahmedabad	Wall painting	85.4

Cross-section: worst city x medium combinations

City	Worst-performing medium	Medium-specific score
Agartala	Mobile van routes	47.3
Varanasi	Lead generation	51.6
Patna	Field sales visits	53.4
Bhubaneswar	Promoter activations	55.7
Guwahati	Sampling drives	57.2
Ranchi	Wall painting	58.1
Raipur	Mobile van routes	58.9
Kanpur	Field sales visits	59.6

Cross-section: industry x city heatmap

Industry	Mumbai	Bangalore	Delhi NCR	Pune	Patna
BFSI	91.2	90.8	89.4	87.5	71.4
IT & ITES	88.4	92.1	87.3	89.6	69.8
Telecom & durables	87.9	87.3	85.7	84.2	67.5
FMCG (modern trade)	86.5	85.4	84.1	83.7	66.2
Pharma	85.8	84.7	84.2	83.1	72.1
Auto & 2-wheeler	83.6	83.2	82.5	87.4	68.5
FMCG (general trade)	81.4	80.3	78.9	78.2	62.3
D2C brands	76.2	78.5	74.1	72.8	58.6

Cities sorted by sample size

City	Submissions analysed	Share of dataset
Mumbai	3,540	15.7%
Bangalore	3,350	14.9%
Delhi NCR (incl. Gurgaon, Noida)	3,120	13.9%
Hyderabad	2,070	9.2%
Pune	1,890	8.4%
Chennai	1,690	7.5%
Kolkata	1,345	6.0%
Ahmedabad	1,310	5.8%
Other tier-1 (Chandigarh, Coimbatore)	945	4.2%
Tier-2 cluster (Surat, Jaipur, Indore, etc.)	1,820	8.1%
Tier-3 cluster (Patna, Ranchi, Raipur, etc.)	1,420	6.3%

Most common anomaly type by city tier

City tier	Most common anomaly	Share of anomalies
Tier-A (10 cities)	WhatsApp metadata-stripped submissions	32%
Tier-B (12 cities)	Recycled photo / image hash duplicate	28%
Tier-C (7 cities)	GPS spoofing / mock-location apps	34%
Tier-D (1 city)	Route deviation in mobile van	41%

Industry-specific accountability findings

Industry	Top accountability strength	Top accountability weakness
BFSI	Internal audit oversight strong	Lead generation fabrication at branch events
IT & ITES	Tech-savvy procurement	Limited BTL volume creates control gaps
Telecom & durables	Dealer-level structured audits	Mall promoter idle time
FMCG (modern trade)	Photo-verifiable shelf execution	Quick-commerce dark store coverage gaps
Pharma	MR call reporting structure	Doctor visit timestamp manipulation
Auto & 2-wheeler	Dealership branding control	RWA activation duplicate submissions
FMCG (general trade)	Distributor network maturity	Ghost retail coverage in tier-3 distribution
D2C brands	Digital-first measurement instinct	BTL infrastructure under-developed

Anomaly types ranked by frequency in 2026

Anomaly type	% of flagged submissions
GPS coordinate mismatch with EXIF	13.1%
Server timestamp deviation	12.3%
Mock-location app active	7.4%
Image fingerprint duplicate	6.6%
Accelerometer inconsistency	6.1%
Geo-fence violation	5.2%
Clustering anomaly	4.5%
Quantity mismatch	3.7%
Image quality below threshold	3.3%
Sequence anomaly	2.8%

Year-on-year forecast for the 2027 Index

City	2026 Score	2027 Forecast	Direction
Mumbai	88.6	91–93	Rising (PBP adoption)
Bangalore	87.9	91–93	Rising (tech adoption)
Delhi NCR	86.3	89–91	Rising (enterprise BRSR pressure)
Hyderabad	85.7	88–90	Rising (pharma cluster)
Pune	84.8	87–89	Rising
Ahmedabad	82.6	83–85	Steady (ghost retail correction in progress)
Patna	68.9	72–74	Rising (tier-3 catch-up cycle)
Agartala	59.4	62–65	Slowly rising

Expected new entrants to the 2027 Index

Expected entrant city	Region	Reason for inclusion
Vijayawada	Andhra Pradesh	Rising distribution hub
Madurai	Tamil Nadu	Tier-2 retail growth
Ludhiana	Punjab	Manufacturing belt
Mangalore	Karnataka	Coastal trade hub
Dehradun	Uttarakhand	State capital activity
Mysore	Karnataka	FMCG hub
Nashik	Maharashtra	Agro-FMCG hub
Aurangabad	Maharashtra	Industrial activation cluster

Citation guidance for press, research, and analyst use

All findings are free to cite for press, research, and analyst use. Cite the report title, sample size, and analysis window. Full PDF download includes raw tables for downloadable use.

Citation requirement	Format
Report name	"India BTL Fraud Index 2026"
Publisher	gOGig Labs
Sample size	22,500+ submissions
Analysis window	October 2025 to April 2026
Methodology	9-dimension verification engine, conservatively tuned, 1.4% false positive rate
Anonymisation	City, medium, industry-level aggregation only
Update frequency	Annual (next: 2027 Index in May 2027)
Source format	"gOGig Labs India BTL Fraud Index 2026"

What the 2026 Index tells us about India

Theme	Quantified insight
Geographic accountability divergence	29.2 points between Mumbai and Agartala
Format accountability divergence	25.5 points between Bus & cab branding (best) and Lead generation (worst)
Industry accountability divergence	18.5 points between BFSI (best) and D2C (worst)
Regional pattern strength	11.5 points between West India (best) and East & NE India (worst)
Best city x medium combination	Mumbai visual merchandising (92.4)
Worst city x medium combination	Agartala mobile van routes (47.3)
Largest year-on-year forecast gain	Bangalore, Mumbai (+3 to 4 points)
Most accountable industry	BFSI (86.4)
Most accountable medium	Bus & cab branding (87.9)
Most accountable city	Mumbai (88.6)

The India BTL Fraud Index 2026 is not about which city is "bad." It is about where verification infrastructure has reached, and where it has not. Every laggard city is an investable opportunity for the next decade.

FAQ

Frequently Asked Questions

Glossary

India BTL Fraud IndexAnnual ranking published by gOGig Labs measuring execution accountability across Indian cities, mediums, and industries. First published 2026.

Execution Accountability Score100-point measure of verification integrity for a city, medium, or industry. Higher = lower anomaly rate, more reliable proof, stronger procurement controls.

Anomaly ratePercentage of submissions failing one or more verification checks. Inverse-correlated with Accountability Score.

Tier classificationA+ (90–100), A (80–89), B (70–79), C (60–69), D (below 60). Used to group cities, mediums, or industries into accountability bands.

Field Execution IntelligenceThe category of verification platforms that produces the dataset for the Index. WhatsApp-native capture, AI-verified at submission.

Blind TrustOperating standard the Index measures against. Paying for on-ground work based on the executor's self-report.

Ground TruthWhat actually happened on the ground, independently verified. The reference state the Accountability Score moves cities toward.

Proof Before PaymentProcurement clause tying invoice approval to verified execution. The mechanism by which Index scores improve year-on-year.

BRSR CoreSEBI sustainability reporting framework. Drives audit-grade verification adoption, accelerating Index improvement among listed companies.

Verification dimensionsNine independent checks applied to each submission: GPS, EXIF, timestamp, mock-location, image fingerprint, accelerometer, geo-fence, clustering, image quality.

Sample weightingMethodology decision to not over-weight high-fraud submission types. Headline scores reflect natural mix on platform.

False positive rate1.4%. The platform's verification engine flags fewer authentic submissions as anomalous than competing approaches.

Download the India BTL Fraud Index 2026

Sixty-page PDF. All 30 city profiles. All 16 medium rankings. All 12 industry rankings. Full methodology. Forward-looking trends. Free for industry research, press, brand teams, and investors.

Cities ranked

Mediums ranked

Industries ranked

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← Back to all posts

The India BTL Fraud Index 2026: city-by-city rankings of execution accountability

Methodology in five steps

The headline ranking: India BTL Fraud Index 2026

Tier breakdown of the 30 cities

Regional accountability patterns

Regional spread highlights

Profile cards: top 5 cities

Mumbai -- Rank 1

Bangalore -- Rank 2

Delhi NCR -- Rank 3

Hyderabad -- Rank 4

Pune -- Rank 5

Profile cards: bottom 5 cities

Agartala -- Rank 30

Varanasi -- Rank 29

Bhubaneswar -- Rank 28

Guwahati -- Rank 27

Raipur -- Rank 26

Cities by tier classification

The medium ranking: 16 BTL formats by accountability

Most accountable mediums (top 5)

Least accountable mediums (bottom 5)

The industry ranking: 12 industries by accountability

Why BFSI leads industry rankings

Why D2C brands rank lowest

Cross-section: best city x medium combinations

Cross-section: worst city x medium combinations

Cross-section: industry x city heatmap

Cities sorted by sample size

Most common anomaly type by city tier

Industry-specific accountability findings

Anomaly types ranked by frequency in 2026

Year-on-year forecast for the 2027 Index

Expected new entrants to the 2027 Index

Citation guidance for press, research, and analyst use

What the 2026 Index tells us about India

Frequently Asked Questions

gOGig Editorial

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