Why these mistakes matter
This page covers online brands and retailers, including those using AI for merchandising, pricing, marketing or customer service.
Most rounds do not fail on one big problem. They stall because an investor finds something the founder should have fixed or explained earlier, and confidence drops. Each mistake below says why it happens, how investors tend to react and what to do instead.
Mistake 1: Using equity to buy stock
Why it happens: Stock is the biggest cash need and equity feels simplest.
How investors react: Investors dislike dilution spent on inventory that stock finance or revenue-based finance could fund.
What to do instead: Use equity for growth capability and explore inventory and revenue-based finance for stock.
Mistake 2: Blended margins that hide weak channels
Why it happens: Totals look healthier than channel-by-channel figures.
How investors react: Investors break margins down themselves and lose confidence when they find a problem.
What to do instead: Show contribution margin by channel and product line, after fulfilment and marketing.
Mistake 3: Ignoring returns
Why it happens: Returns are recorded late or netted off.
How investors react: High returns in some categories can erase the margin investors thought they saw.
What to do instead: Report return rates by category and customer group, and what you are doing about them.
Mistake 4: Growth bought with rising ad spend
Why it happens: Paid channels scale quickly at first.
How investors react: Investors ask what happens to growth if spend pauses.
What to do instead: Show acquisition cost trends, repeat purchase by cohort and organic share of revenue.
Mistake 5: Ageing stock left unexplained
Why it happens: Slow lines are kept in the hope they sell.
How investors react: Old stock suggests poor buying and future write-downs.
What to do instead: Track stock ageing and have a clear clearance policy.
Mistake 6: Calling a store an AI company
Why it happens: AI labels seem to attract investor interest.
How investors react: Investors value the business as retail anyway and question credibility.
What to do instead: Describe AI as a way you run the business better, with the measurable effect.
Mistakes every sector shares
Alongside the sector-specific points, these general errors come up in almost every round:
- Raising without a clear milestone the money is meant to reach.
- A messy cap table or missing IP assignments found late in diligence.
- Pitching investors who do not back your sector or stage.
- Starting to raise with too little runway left to negotiate calmly.
Ecommerce: common mistake versus better approach
| Mistake | Better approach |
|---|---|
| Using equity to buy stock | Use equity for growth capability and explore inventory and revenue-based finance for stock. |
| Blended margins that hide weak channels | Show contribution margin by channel and product line, after fulfilment and marketing. |
| Ignoring returns | Report return rates by category and customer group, and what you are doing about them. |
| Growth bought with rising ad spend | Show acquisition cost trends, repeat purchase by cohort and organic share of revenue. |
| Ageing stock left unexplained | Track stock ageing and have a clear clearance policy. |
| Calling a store an AI company | Describe AI as a way you run the business better, with the measurable effect. |
Questions to prepare before you pitch
- What is our margin by channel after returns?
- How do repeat rates look by cohort?
- What would we fund with stock finance instead of equity?
- What happens to sales if paid ads pause for a month?
How KJ Enterprises evaluates ecommerce businesses
KJ Enterprises assesses ecommerce businesses on channel economics, customer repeat behaviour and sensible use of stock finance, drawing on the brands we operate across the group.
If that describes your company, you can apply for investment. Related reading: the complete funding guide and the step-by-step how-to and costs and terms and the readiness checklist and marketplace mistakes to avoid.