Five years ago, running an ecommerce brand was hard...

Five years ago, running an ecommerce brand was hard.
In 2025–2026, it’s a different game: global online sales keep growing, but margins are getting squeezed from every side.

A few pieces of the macro picture:
Globally, ecommerce is on track for roughly 6–6.5 trillion USD in online sales by 2025, but “good” profit margins are now considered to be in the 10–20% net range in many verticals.
Costs are up everywhere: shipping, fulfillment, labor, ads. Margin reports for 2025 all say the same thing a 3–5 point margin improvement is often the difference between thriving and shutting down.
Trade conditions and supply chains remain choppy: higher landed costs, shifting tariffs, and logistics issues mean brands that can’t re‑price or renegotiate quickly get crushed, while those that move too fast see conversion drop.

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At the same time, consumer behavior has shifted hard into social commerce.
People discover and buy on TikTok, Instagram, and livestreams where entertainment and shopping are fused into one endless scroll.

In markets like Vietnam, TikTok Shop grew triple digits in 2025 and now takes a huge slice of social commerce, with click‑through and conversion rates high enough to become a real “sales engine,” not just a branding channel.

What does that do socially?
It creates a generation of founders who grew up with TikTok and Meta ads, very good at buying revenue fast.
But financially, many of them are sitting on businesses with impressive top‑line and followers, and paper‑thin margins underneath. Burnout, financial stress, and anxiety around cashflow are very real.

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From an FP&A lens, I see a gap:
The ecosystem is over‑optimized for growth metrics (traffic, reach, ROAS, followers).
Founders are under‑tooled on profit clarity – profit per SKU, CAC vs LTV, and the unit economics that actually decide who survives a margin squeeze.

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Okiela sits exactly at that intersection:
It respects the macro reality of 2025–2026 (margin pressure, rising costs, social commerce dominance).
But it zooms all the way down to one simple, human question: “Which products are truly feeding this business, and which ones are quietly bleeding it?”
And it tries to answer that within ~30 seconds of connecting Shopify or uploading a CSV/excel.

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I don’t believe any AI tool can magically “fix” the macro environment.
But I do believe that if founders can see true profit clearly and often enough, they’ll make better, deeply human decisions: kill one SKU, nudge price, change packaging, drop a channel and keep their business alive in a cycle that’s nowhere near as forgiving as it was five years ago.

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If you feel stuck between:
The pressure to grow via social commerce, and
The reality of shrinking margins,
take an evening, pull your Shopify data, and look at it once with an FP&A lens.

If you’d like, I can run one sample file through Okiela - anonymized - just so you can see what your model really looks like underneath the revenue.
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