MediumI Studied 50 Indian Freelancers’ Fiverr Profiles. The Ones Making ₹2L/Month All Had One Weird Thing in Common. | by Ajinkya Lakhara | Medium
Sitemap
Ajinkya Lakhara

Ajinkya Lakhara

Software engineer sharing insights on AI, backend systems, and tech.

I Studied 50 Indian Freelancers’ Fiverr Profiles. The Ones Making ₹2L/Month All Had One Weird Thing in Common.

8 min readJun 26, 2026

--

Press enter or click to view image in full size

It started as a Saturday afternoon rabbit hole.

I was procrastinating on something important — as one does — and ended up deep inside Fiverr’s search results, clicking through Indian freelancer profiles one by one. Web designers. Video editors. Copywriters. SEO specialists. Logo designers.

Some profiles had 4 reviews. Some had 4,000. Some had delivery times of 7 days listed on a gig that any competent person could finish in two hours. Some had pricing so low I genuinely wondered if they were making anything after Fiverr’s cut.

But a handful of them — and I kept seeing this same thing — had order queues backed up for weeks, packages priced at $150, $300, $500 a pop, review counts climbing month over month, and profile bios that made me stop scrolling and actually read.

I ended up going through 50 profiles in total. Some making almost nothing. Some clearly pulling in what works out to ₹1.5–2.5 lakh a month or more, based on their visible order volume and pricing.

The difference between the two groups wasn’t skill level. It wasn’t years of experience. It wasn’t even the quality of their portfolio — some of the highest earners had surprisingly sparse portfolios.

It was something that sounds almost too simple when you say it out loud. But once you see it, you can’t unsee it on every profile you look at.

The Obvious Thing Everyone Told You (That Nobody Actually Does)

Before I tell you what the pattern was, let me tell you what it wasn’t.

It wasn’t “be professional.” It wasn’t “respond fast.” It wasn’t “get more reviews.” Every freelancing guide on the internet tells you those things and they’re all true and almost completely useless as advice because everyone already knows them.

The pattern was this:

Every single high-earning profile had a gig title that named a specific type of person — not a specific skill.

Not “I will design your logo.”

Not “I will edit your video.”

Not “I will write SEO content.”

Instead: “I will design a Shopify storefront for skincare brands.”

“I will edit short-form Reels for fitness coaches.”

“I will write LinkedIn ghostwritten essays for SaaS founders.”

Skill + Outcome + Audience. That last part — the audience — was the thing almost everyone on the platform was leaving out. And it was the thing separating the profiles making ₹15,000 a month from the ones making ₹2 lakh.

Why This Works — The Numbers Behind It

This isn’t just an observation from 50 profiles. Research on niche positioning demonstrates that specialization increases perceived value by up to 400%. Not 40%. Four hundred percent. For work that might be structurally identical.

Think about that from the buyer’s side for a second. You run a skincare brand. You need a Shopify store. You open Fiverr and search. You see two profiles:

Profile A: “I will design a professional Shopify store. 5 stars, 200 reviews, ₹8,000.”

Profile B: “I will design a Shopify storefront for skincare and beauty brands. 5 stars, 60 reviews, ₹22,000.”

Profile B has fewer reviews and costs nearly three times more. And yet, if you run a skincare brand, Profile B feels like the obvious choice — because they seem to already understand your world. You don’t have to explain your aesthetic. You don’t have to worry they’ll hand you something that looks like a generic electronics store template with your logo slapped on it.

The pattern played out consistently in 2025: generalists struggled, specialists thrived. “I build websites” lost repeatedly to “I build Framer websites for SaaS companies.”

And Fiverr’s own Q1 2026 data confirms the shift at the platform level: while the number of active buyers dropped by 17.8% year-over-year, the amount each buyer spent went up 15.4%. Fewer buyers, spending significantly more — which directly benefits established specialists over low-priced generalists.

The platform itself is moving in one direction. The buyers who remain are more serious, have bigger budgets, and are looking for someone who gets them specifically — not someone who does everything for everyone.

The Profiles That Were Quietly Dying

The struggling profiles — the ones with 3 reviews from 18 months ago, no new orders in the queue, pricing at ₹500 per gig — almost all had the same structure.

Get Ajinkya Lakhara’s stories in your inbox

Join Medium for free to get updates from this writer.

A generic headline. A bio that read like a CV (“I am a passionate and dedicated freelancer with 3+ years of experience in graphic design and content creation”). A portfolio of 4–5 samples covering completely different industries — a tech logo, a food menu, a wedding invitation, a gaming thumbnail.

The samples weren’t bad. Some were genuinely good. But they told a buyer nothing about whether this person understood their specific industry, their aesthetic, their customer.

The biggest mistake new sellers make is being a generalist. If you try to serve everyone, you serve no one.

What I noticed across the struggling profiles was that they were all trying to minimize risk — cast a wide net, take any client, do any type of work. The logic makes complete sense when you’re starting out and scared. But on a search-based marketplace, a wide net is invisible. Specificity is what gets you found.

The Second Thing I Noticed (That Surprised Me More)

About 20 profiles into my rabbit hole, I noticed something else that I hadn’t expected.

The high earners weren’t just naming their audience in their gig title. They were writing their entire profile as if they were talking to one specific type of person.

The bio didn’t say “I work with all kinds of clients across many industries.” It said something like: “I’ve spent the last three years building content specifically for DTC skincare founders on Shopify. I know what converts in that space and what looks generic. My clients come back because I already understand the world they’re selling to.”

This created an immediate feeling — even as an outsider reading the profile — that this person had walked in the shoes of their clients. That they’d seen the problems their clients face so many times that they’d developed genuine intuition about them.

The writers earning real money on Fiverr in 2026 picked one industry and went deep. The three highest-margin categories right now — ghostwriting, AI prompt engineering, and UGC video — all reward subject-matter expertise more than design polish.

It wasn’t about having a flashier portfolio or more reviews. It was about making a specific type of buyer feel, within 10 seconds of landing on your profile, that you were built for them.

The AI Angle That Nobody Is Talking About

Here’s where it gets interesting for 2026 specifically.

Freelancers are increasingly using AI for writing, coding, and image generation — leading to high demand for specialized “AI-human hybrid” services. Those who ignored AI lost ground fast.

But the way most Indian freelancers are using AI on Fiverr is backwards.

They’re using AI to produce more work faster in a generic category — churning out more logo designs, more blog posts, more social media captions. And because everyone else is doing the same thing, the generic categories are getting flooded with AI-assisted work that all looks roughly the same.

AI-related services grew roughly 200% year-over-year on Fiverr, but generic prompts and basic AI art are commoditizing fast — buyers want specialists who add real judgment, not button-pushers.

The high earners are using AI differently. They’re using it to deliver specialized work faster. The skincare Shopify designer uses AI to generate first-draft mockups that she then refines with her industry-specific knowledge. The SaaS ghostwriter uses AI to do research and create outlines that he then shapes with his understanding of what SaaS founders actually care about.

AI didn’t change the rule. It amplified it. The rule was always: specificity beats volume. AI just made volume cheap for everyone, which means specificity is now worth even more than before.

How To Actually Apply This — Not The Generic Version

Every freelancing article tells you to “find your niche.” None of them tell you how — specifically — to find the right one. Here’s what the data from those 50 profiles actually suggests:

Step 1: Start with an industry you already know something about.
Not a skill. An industry. If you studied pharmacy, fintech companies are interesting to you in a way they aren’t to a random generalist. If you grew up in your family’s textile business, fashion e-commerce brands will feel familiar. That prior knowledge — even informal knowledge — becomes the “subject matter expertise” that lets you write a profile bio that sounds like you’ve lived in their world.

Step 2: Name the audience before you name the skill.
Flip your gig title formula. Don’t start with what you do — start with who you do it for. “For D2C food brands, I design…” reads completely differently than “I design for food brands.” The “for” at the beginning signals instantly that this person thinks about their clients first.

Step 3: Build your first three portfolio samples for that specific audience — even if you have to create them unpaid.
A student who created a Fiverr gig offering LinkedIn banner designs used templates and automated follow-ups — within six months he scaled to 20 monthly orders and moved from ₹5,000 to ₹30,000 a month. Two things helped: clear packages and fast delivery. But the setup — making it clear exactly who the gig was for — was what got him the first order. You cannot get reviews before you get orders, and you cannot get orders if your portfolio speaks to everyone and therefore no one.

Step 4: Price like a specialist from day one — not like someone trying to buy reviews.
New sellers underprice by default. Once you have 10–20 reviews at any price point, raising the Standard package by 25–50% almost always increases revenue — higher-priced gigs attract better-fit buyers and fewer scope-creep nightmares. The sooner you price like a specialist, the sooner the algorithm and the buyers treat you like one.

The ₹2L/Month Profiles in One Sentence Each

After 50 profiles, if I had to summarize every high-earner in a single sentence, it would be this:

They made their ideal client feel, in the first 10 seconds, that every other freelancer on the platform was a generalist and this one person actually understood their world.

That’s it. That’s the pattern.

Not the best design skills. Not the most reviews. Not the lowest price. Not even the most experience.

The feeling — specific, immediate, and unmistakable — that this person was made for exactly the type of work you need done.

Everything else — the pricing power, the repeat clients, the full order queue — follows from that one thing.

--

--

Ajinkya Lakhara
Ajinkya Lakhara

Written by Ajinkya Lakhara

0 followers

Software engineer sharing insights on AI, backend systems, and tech.