Influencer Marketing Fraud in India: How Brands Are Losing Money and How to Stop It

India's influencer marketing industry crossed ₹2,500 crore in 2024. By 2028, estimates put it above ₹5,000 crore. Every major brand is allocating meaningful budget here, mid-size D2C brands are building influencer programs, and agencies are fielding more influencer briefs than ever.

And somewhere between 20–40% of that spend is producing no real value. Not because influencer marketing doesn't work — it does — but because the metrics brands are buying are, in a significant number of cases, manufactured.

This isn't a fringe problem. It's structural. And most brands don't have a process to catch it.

The Three Main Types of Influencer Fraud

Fake Followers

This one is well known but still rampant. You can buy 10,000 followers for a few hundred rupees. The accounts that follow you might be bots, inactive profiles, or real people in account farms who follow thousands of accounts for payment.

The result is an inflated follower count that makes a creator look bigger than they are. Their actual reach can be a fraction of their follower count.

Engagement Pods

This is more sophisticated and harder to catch. Pods are private groups — usually on Telegram — where creators exchange engagement. Every member likes and comments on every new post within minutes of it going live. No bots involved. Just real people artificially inflating each other's numbers.

The engagement looks real because it is real — just not organic. A creator with 80,000 followers in an active pod might get 3,500 likes per post (4.4% ER), but the majority of those engagements came from other creators who have zero interest in buying your product.

Reach Inflation

Some creators screenshot their best-performing posts' insights and send those as their "average" numbers. Or they run a contest post right before pitching brands, knowing engagement will spike.

None of this shows up in the follower count or engagement rate. It only shows up if you look at post-level performance over time.

The Scale of the Problem in India

India has specific dynamics that make fraud more prevalent here than in some other markets.

The influencer supply is enormous — Instagram alone has millions of Indian content creators — and brand demand has been growing faster than brands' ability to properly vet creators. Agencies that should be doing due diligence are often moving too fast, prioritizing campaign velocity over verification.

The cost of buying followers and engagement in India is also low. The supply chains for fake engagement are often domestic, making them cheaper and more accessible than in Western markets.

How Brands Actually Lose Money

The direct loss is straightforward: you pay for a post, the reach is fake, the campaign underperforms.

But there's a secondary cost that's harder to measure. Brands that get burned on influencer marketing often write off the channel entirely. They miss out on genuine performance from legitimate influencers because one fraudulent experience poisoned the approach.

The other cost is opportunity cost. The ₹2 lakh you spent on an influencer with a fabricated audience could have gone to five micro-influencers with real, engaged niche followings and generated meaningful results.

Screen influencers before you pay with Asli →

What Due Diligence Actually Looks Like

Most brands do some version of this: check follower count, glance at engagement rate, look at whether the creator's aesthetic matches the brand. That's not due diligence. That's vibes.

Real due diligence for influencer selection looks like this:

Check engagement rate against their follower tier. Use benchmarks: micro-influencers (10K–50K) should be at roughly 3.5% ER. Mid-tier (100K–500K) should be around 1.8%. Significantly above these numbers warrants investigation.

Look at engagement patterns, not just totals. Does engagement spike in the first hour and flatline? Are comments generic and interchangeable? Is engagement consistent across posts regardless of content quality? These are pod signals.

Verify audience geography. If you're a brand targeting metros in India and 35% of a creator's followers are from Southeast Asia or Eastern Europe, something's wrong.

Check the last 12 posts, not just recent ones. Creators sometimes clean up their act before pitching a brand. A look at six months of performance tells you more than the last two weeks.

Use a verification tool. Asli analyzes engagement patterns algorithmically to detect pod activity. For any collaboration above ₹10,000, it's negligence not to run the check.

Run any influencer through Asli before committing budget →

Protecting Your Influencer Budget Going Forward

A few structural changes that will materially reduce your fraud exposure:

Make data submission mandatory. Before any paid collaboration, require the creator to share Instagram Insights screenshots covering the last 90 days. Look for reach-to-follower ratio, audience demographics, and impression sources.

Negotiate performance components. Structure a portion of the fee around actual outcomes — link clicks, promo code usage, story swipe-ups. Creators with genuine audiences will accept this.

Prefer micro over macro for conversion campaigns. A creator with 15,000 highly engaged followers in your niche will typically outperform a creator with 300,000 vaguely relevant followers.

Build a verified shortlist over time. When a creator performs genuinely, note it. When they underperform despite apparent metrics, note that too. Your own performance data is the best signal you have.

Run a pod check as standard practice. For every influencer, before every collaboration, run them through Asli. It takes two minutes and costs less than a coffee.

The brands that will win at influencer marketing over the next three years aren't the ones with the biggest budgets. They're the ones with the best verification process.

Start with a check on Asli →