J'ai fait 1.5M€ cette année en e-commerce à 22 ans, voici comment

Overview

The presenter outlines a Google Shopping–led dropshipping strategy that he says generated more than €1.5 million in annual revenue at roughly 30% margin. He says the business might exceed €2 million for the year and sets a longer-term ambition of eight-figure annual revenue.

The approach centers on choosing a sufficiently large niche, listing many relevant products, building a credible storefront and offer, and scaling Google campaigns gradually.

Strategy and Playbooks

Choose a Niche for Market Size and Viability

• Prioritize niches with a large TAM (total addressable market). Building and maintaining a store can take similar effort regardless of market size, but smaller markets offer less room to grow.
• Validate that sellers are active in the niche and that some competitors appear to be scaling. Competitor traffic estimates and store and product research can provide useful signals.
• Assess seasonality and launch one to two months before the demand peak so campaigns can gather data and establish Shopping history.
• Evaluate product economics:
  • Target at least 3× markup on lower-priced products, ideally 4–5× where feasible.
  • Higher-ticket products can support a lower multiple. The presenter gives a €2,000 selling price and approximately 2.5× markup as an example.
• Consider the trade-off between market size and time to profitability. Lighting is cited as a large, seasonal niche that may be difficult for beginners, while piggy banks are given as an example of a niche with limited market potential.

Build a Broad Catalog

Suggested launch catalog:

• High ticket: 20–30 products
• Mid ticket: roughly 30–50 products
• Low ticket: 120–150 products

After launch, add roughly 5–10 products per day.

The presenter treats each product listing as an additional entry point from Google Shopping. He argues that a large catalog increases the chances of finding bestsellers and expanding reach, citing a competitor with about 5,000 products.

Find promising items through high-traffic competitors and product-research tools, then organize candidates in a spreadsheet before importing them.

Use Competitor Research to Improve the Storefront

Study leading stores—including established brands, not just dropshippers—for product presentation, merchandising, reassurance elements, page structure, and offers. Adapt proven patterns rather than designing from scratch, and compare multiple competitors instead of copying only the market leader.

The presenter also recommends using product imagery and AI tools to improve perceived value. One example compares an item sourced for about $108 with a competitor’s $267 selling price, suggesting that better imagery could support stronger perceived value and pricing.

Launch and Scale Google Ads

The presenter distinguishes Google’s largely purchase-intent traffic from the more awareness-led traffic of social platforms.

• For high- and mid-ticket campaigns, he recommends Shopping with “Maximize conversion value” to keep spend on Shopping inventory.
• For Europe or lower-ticket products, he prefers Performance Max feed-only, while noting that PMax can sometimes spend on Display or YouTube.
• Start at about $40 per day and leave the campaign untouched for one week. He describes early results as volatile while the campaign learns.
• If results are promising in week two, raise budgets gradually—for example, $40 → $60 → $90 → $120. After that, increase by about 10–20% every two or three days. Larger increases may retrigger learning and destabilize results.
• After 50 conversions, set a target ROAS. His example is aiming for $250 in revenue per $100 spent.

As the catalog grows, segment products by performance:

• Heroes: products driving the bulk of results
• Bestsellers
• Testing
• “Zombie” products: low-budget listings retained for possible seasonal performance, then moved back to testing if conditions change

Add a brand-search campaign to defend brand queries and capture returning shoppers. The presenter says these campaigns can show ROAS of 5–10, but frames their main purpose as defending the brand and recapturing traffic.

Add full Performance Max and broader awareness channels only after the store is established. Use them to expand demand when Shopping search volume becomes a constraint.

Improve Conversion, Offers, and Retention

• Use Microsoft Clarity session replays and heatmaps to identify where visitors leave and improve product pages and offers.
• Avoid generic discounts or irrelevant bundles. Offer complementary products or discounts to customers buying multiple items.
• Ask customers directly—through calls and email—why they purchased and what they liked or found confusing. Use reviews, Reddit, and YouTube as supplementary customer-research sources.
• Develop multiple positioning angles for products that already sell while keeping the underlying product the same.
• Treat customer service as a core operational function: use it to resolve issues, gather insights, encourage reviews, and support upsells.
• Track refunds and their causes. Address issues such as sizing or product quality; high refunds, disputes, and chargebacks can damage margins, payment processing, and cash flow.

Entrepreneurial Operating Principles

• Document repeatable work as processes, automate repetitive tasks with AI where appropriate, and delegate low-leverage work.
• Reinvest cash generated by the business to support growth.
• Reuse what has already been shown to work rather than reinventing every part of the business.

Metrics and Timelines Cited

Area Figure or recommendation Reported annual revenue More than €1.5M Reported margin About 30% Possible current-year revenue More than €2M Longer-term ambition Eight figures annually Low-ticket markup At least 3×, ideally 4–5× Example high-ticket markup About 2.5× Initial ad budget About $40/day Initial learning period One week Budget increases 10–20% every 2–3 days Target-ROAS threshold After 50 conversions Example target ROAS $250 revenue per $100 ad spend Product additions 5–10 per day Seasonal launch timing 1–2 months before the peak

Presenter and Sources

Presenter: Enzo Mahoudeaux.

He refers to Google Ads/Shopping, Semrush, TrendTrack, AliExpress, ChatGPT, Microsoft Clarity, and customer feedback from calls and email. Reddit and YouTube are additional research sources. He also mentions an associate who takes consultation calls but does not identify them in the subtitles.