How I decide if a D2C category is worth entering

A D2C category is worth entering when three things are already true: people search for a solution, people already pay for products that solve it, and enough margin is left after product, delivery, and marketing costs. I test this with seven free signals and score each one from 1 to 5 before I spend anything on branding, sourcing, or inventory.

I'm starting from zero. My biggest fear is spending months on something nobody wants to buy. Many founders pick a category because it's popular on Instagram or talked about on podcasts. But attention is not demand. A category can look impressive and still be a poor business.

The 7 signals at a glance

I don't look for categories with no competition. Competition means money is already changing hands. My goal is a clear gap inside a proven market.

How do I check if people are searching for it?

I start with Google Trends, but I search the phrases people use when they have a problem, not the broad category name. For example, [problem phrase] rather than [category name].

I check four things: the five-year trend, seasonality, location, and related searches. Has interest held steady or grown? Is demand year-round? Are searches coming from places I can deliver to at a reasonable cost? What words do people use when they're close to buying?

Google Trends scores are relative to the time period and location you pick. A score of 80 in one state doesn't mean the same number of searches as 80 in another. It shows interest, not sales.

Then I use Google Keyword Planner for monthly search ranges and approximate cost per click. These are planning estimates. Real results depend on the ad, the offer, and the competition.

How do I check if people are already buying?

Search shows interest. Purchases show willingness to pay. On Amazon.in, Flipkart, and Myntra, I check:

• top-selling products and their price ranges
• pack sizes
• review counts, and how recent the reviews are
• stock availability
• whether people buy once or need to replace the product

I don't use a marketplace rank to guess a company's revenue. I use it to understand what's selling and why.

What do 3-star reviews tell me?

Reviews are often the most useful data I find. Five-star reviews tell me what customers expect. Three-star reviews tell me where brands fall short: poor packaging, confusing sizes, slow results, leaking containers, weak support. A complaint that keeps coming up across several brands is a possible opening.

How do I read competitor ads?

In Meta Ad Library, an ad that has run for only a few days tells me very little. But if several brands keep running ads for months, in different formats, the category is worth enough for them to keep testing. It suggests customer acquisition works for at least some of them.

For each long-running ad, I study the opening idea, the customer shown, the proof used, the offer, and the landing page. I don't copy their creative. I ask one question: what customer doubt is this company paying to address?

Ad activity is directional evidence. It doesn't prove a company is profitable.

Does investor interest matter?

A little. If several investors and specialist funds keep pointing to the same problem or behaviour shift, the category may have long-term potential in India. But investor interest isn't proof customers will buy. I treat it as a tiebreaker, never as a primary signal.

Will customers need to buy again?

A business with no repeat purchase has to find every customer from scratch, and that exhausts a solo founder. So I ask:

• Is the product consumed, used up, or worn out?
• Is it gifted regularly?
• When will a happy customer need the next unit?
• Does solving the first problem create a second need?

A one-time purchase isn't a dealbreaker. But then the order value and gross margin need to be strong enough to cover marketing on every single sale.

What is my wedge?

I don't need a new invention. I need a clear reason a specific customer picks me over a generic option: simplicity, local context, tight curation, better education, or a bundle built around one routine. Often that means one strong product for first-time buyers instead of a 40-product catalogue.

I force myself to complete this sentence:

“For [specific customer] who is frustrated by [specific problem], my brand offers [clear outcome] through [distinct approach], unlike [usual alternative].”

If the sentence could describe ten existing brands, the idea isn't clear enough yet.

How do I score a category?

I score each criterion from 1 to 5. Tap a score on each row to total your own category.

My rule: [your threshold, e.g. no score below 2 on operations, and 28+ out of 40 overall]. A strong demand score never gets to hide a serious operations problem. High returns, fragile delivery, heavy compliance, or complicated quality checks can sink a small team.

Worked example: [category]

• Search: [problem phrase], five-year trend [up / flat / down], Keyword Planner range [X–Y] a month, CPC ₹[X]
• Marketplace: [N] listings with 1,000+ reviews, price band ₹[X]–₹[Y]
• Top 3-star complaint: [complaint]
• Ads: [N] brands running Meta ads for 60+ days
• Repeat cycle: every [N] weeks
• Wedge sentence: [filled sentence]
• Score: [X] out of 40. Decision: [test / drop]

What do I do once a category passes?

I still don't buy a lot of stock. I test first with a landing page, a preorder, or a small batch. The scorecard doesn't create certainty; it removes weak ideas quickly.

The best category for a solo founder is rarely the loudest one. It's usually the one where customers already spend money, the problem comes back, and I can offer a focused solution that's easier to understand or use.

Which category are you exploring right now, and what evidence shows customers are already paying to solve that problem?