How to Get Dropshipping Ads on Facebook for Product Research (Spying)
Choosing the right winning product is the key factor in optimizing costs for the Facebook dropshipping ad testing phase, thereby increasing impressive revenue on the Shopify dashboard. In this content, BlackHatWorld will share the methods that are currently effective to help you find high-potential products for your Shopify store. Additionally, we will introduce detailed tools, strategies, and practical tactics that I have applied to build and scale e-commerce stores, generating millions of dollars in revenue.
The Biggest Secret in the Dropshipping Industry that few people share with you
If you have ever done dropshipping or are preparing to start, we believe you have heard many tips, such as “find unique products,” “sell things no one has sold,” or “the more different, the easier to win.” However, the truth behind this industry is completely the opposite. In this section, we will share with you the most practical secrets that long-time dropship advertisers clearly understand, but few speak about publicly.
Prioritize lightweight and easy-to-ship products to preserve profits
The first thing we always emphasize to dropshipping advertisers on Facebook is to strictly avoid heavy, bulky, or difficult-to-ship products. In reality, there have been many cases where shipping costs were higher than the product value. In such cases, even if you make a sale, profits are still “eroded” day by day.
For example, if you sell a heavy product such as mini gym equipment or large household appliances, the international shipping fee alone can skyrocket. Not to mention the risks of delayed delivery, loss, or returns. Bulky products like furniture, glassware, or fragile items are also a “nightmare” due to the high damage rate and extremely expensive complaint handling costs.
We recommend that you prioritize compact, lightweight products that are easy to pack and can be shipped quickly. This helps you control costs well, reduce risks, and optimize cash flow from the start.
The Minimum Profit Margin must reach 3x to be eligible for scaling.
A vital principle in dropshipping that we always follow is that the minimum profit margin must be 3 times the total cost. This is not a random number, but the result of many actual advertising campaigns.
For a specific example, if a product costs you about 10 USD for goods and an additional 10 USD for shipping, the total cost falls around 20 to 25 USD. In that case, the ideal selling price of the product should be 60 USD or higher. If you sell below this level, you will be in an extremely risky position.
The reason is that when you start scaling Facebook ads, CPM and CPA costs will almost certainly increase. If the profit margin is too thin, just a slight increase in advertising costs can shift you from breaking even to making a loss. In most cases, dropship advertisers fail because they choose products with a profit margin that is too low.
Choosing products with natural Upsells and Cross-Sells to increase AOV
Another secret that helps our Facebook dropshipping ad campaigns remain sustainably profitable is always prioritizing products with natural upsell and cross-sell potential. This helps increase the average order value without adding too much to advertising costs.
For example, if you sell eyewear, you can easily upsell glasses cases, cleaning cloths, or extended warranty packages. These complementary products are easy to sell because they are directly related to the customer’s needs. When AOV increases, you have more “room” to run ads, test creatives, and scale without excessive profit pressure.
Don’t try to sell a “revolutionary” product when the market doesn’t need it.
Many dropshipping beginners make the serious mistake of trying to sell “revolutionary” products, things that have never appeared on the market. The issue here is that you have no idea whether that product can actually be sold. We have seen many advertisers choose products based on personal feelings, such as “I like this product,” “my family finds it interesting,” or “my friends say it is unique.” However, the actual market does not care and may not even understand what the product is for.
You are not participating in Shark Tank, and dropshipping is not the place to test vague ideas. “Revolutionary” products are also not found on page 159 of AliExpress. Trying to sell unverified products usually only causes you to lose ad spend faster.
The Real Secret is selling products that have already won in the market
The biggest secret in the e-commerce industry, and also something few people admit directly, is to sell products that have been proven to sell. You can use the Facebook ad library to track your competitors’ winning products.
Many of you worry that these products are saturated. However, in reality, saturation is a positive signal because it proves that demand is real. What matters is not whether the product is new or old, but how you differentiate in marketing, advertising messages, and customer angles. As long as you tell a better product story, run ads with a different angle, or target the right customer segment better than your competitors, you can completely make “familiar” products continue to bring in stable and sustainable profits.
How to Get Dropshipping Ads on Facebook for Product Research (Spying)
Before spending money on ad testing or stocking goods, the most important thing for dropshipping advertisers is to identify the right product with real demand. Instead of choosing products based on intuition or blindly copying, we recommend starting with data, AI, and user behavior on Facebook. Below is the product research process we are applying to track market demand and find potential products systematically.
Step 1: Using AI to identify potential niches
The first thing we do is access Scopic AI, ChatGPT, or any LLM capable of deep research. After creating an account, you just need to enter the basic chat section without linking a credit card. The starting prompt we usually use is:
“You are a market research expert in the pet care DTC sector with over 30 years of experience. Please provide 5 pet niches with high product potential, uniqueness, profitability, and originating from real-world problems.”
If you are not in the pet niche, you can replace it with beauty, fitness, healthcare, home goods, or any niche you are interested in.
AI will often return very clear sub-niches, such as sustainable pet care, pet anxiety relief, mobility support for senior pets, smart interactive toys, or personalized nutrition.
Step 2: Deep dive into pain points to find buying reasons
After choosing a sub-niche, we continue to ask AI about the most common issues that make customers willing to spend money. The goal at this step is to understand the real pain points, not just surface-level needs. For example, with the senior pet mobility support niche, pain points usually revolve around pets having joint pain, difficulty walking, reduced quality of life, and causing owner anxiety.
From here, we ask AI to suggest strong marketing angles, focusing on specific body parts such as hips, knees, elbows, or the spine. Targeting a specific body part makes Facebook ads much easier to convert compared to generic messaging.
Step 3: Identify product groups for testing
Once the focus area is selected, for example, knees and elbows, AI will suggest suitable product groups such as joint supplements, knee braces, elbow guards, therapy mats, massage devices, or heat pads.
At this stage, we do not rush to sell immediately, but only use these products for demand research. You can find similar products on AliExpress to understand the supply, then find an equivalent version on Amazon and get the link. The reason is that AI often analyzes Amazon links more in-depth and accurately.
Step 4: Deep market research using real data
Next, we paste a deep research prompt along with the Amazon product link into the AI. The AI will perform a profound analysis of market size, competition level, buying behavior, and consumer trends. After receiving the results, we continue to ask:
“Based on the problem, product, and target audience, how do you evaluate the commercial potential of these products?”.
The AI will provide detailed answers regarding market demand, competitive gaps, saturation levels, and appropriate marketing strategies. This is a step that helps advertisers avoid testing products in red ocean markets.
Step 5: Verification with Facebook Ads Library and spy tools
After obtaining the related keyword list, we check directly on Facebook Ads Library. You filter by country, language, and platform to see if there are many running ads.
If you see many continuously active ads, it is a clear signal that the market is profitable. For those who want to go deeper, you can use Winning Hunter to view detailed spending, estimated revenue, ad score, and the most effective creative. Additionally, we use Cal Data to check trends on TikTok and compare markets such as the US, UK, Australia, or Europe to select a suitable testing country.
Step 6: Cross-checking the entire research process
We return to the Miro board or product research checklist to cross-check if we have followed the correct structure. This helps avoid missing important steps or being misled by AI. Additionally, you can use the Trending Products section of Scopic AI to view products already validated by AI, along with potential forecasts, saturation levels, and the success probability.
This method of combining AI, Facebook ad data, and practical market analysis has helped us achieve over 200,000 USD in revenue in just one month, instead of testing products based on intuition as before.
Dropshipping product research using Facebook ads is no longer a matter of guesswork or following temporary trends. When we combine AI, real ad data, and user behavior, advertisers can identify the right pain points, the right products, and the right markets before spending big budgets. If the process is followed correctly, Facebook ads are not just a sales channel but also the most powerful and accurate product research tool for dropshipping.
Frequently asked questions
No. We usually start with a small budget to gather market signals, check the level of interest, and user behavior before deciding to scale.
Yes. Whether it is pets, beauty, fitness, or lifestyle, the research structure based on AI and Facebook ads can be customized to fit different markets and customer segments.
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