Reports that Australian customer data startup Paperbark has signed Unilever brands to tackle ecommerce sales gaps highlight a problem most retailers know but rarely measure: products that sell well in stores or on marketplaces often underperform on a brand's own channels, and nobody can say exactly why. The direct answer is that sales gaps are usually a data problem before they are a marketing problem.
What is an ecommerce sales gap?
An ecommerce sales gap is the difference between the online sales a product should achieve, given its demand, and what it actually achieves. It shows up as strong search interest but weak conversion, high basket abandonment, or products that are out of stock or poorly listed at the moment a customer looks.
For Australian brands, gaps are widened by a concentrated retail landscape, long shipping distances and heavy reliance on a few marketplaces and grocery platforms, each holding its own slice of customer data.
Why It Matters Now (2025–2026 Context)
Third-party tracking is shrinking, and advertising costs keep rising. Brands that cannot see which customers buy, where and why are paying more to reach the same people. First-party and partner-shared data is becoming the main source of insight.
Contrarian view: most brands do not need more data. They need fewer, cleaner questions. A gap analysis built around three or four decisions beats a data lake nobody queries.
How AI Is Changing This
Machine learning can match fragmented customer records, flag listings whose content or price underperforms similar products, and forecast where availability problems will cost sales. What used to be a quarterly analyst report can become a weekly alert.
The non-obvious idea is that AI helps most at the boring step, data matching and cleaning, rather than at flashy personalisation. Bad joins between systems quietly distort every dashboard downstream.
Real-World Examples
The Paperbark and Unilever news is one signal that large consumer goods companies are buying customer-data capability instead of relying only on retailers' reports. We do not have the commercial details, so treat it as a direction of travel rather than a benchmark.
A realistic scenario: a Melbourne skincare brand sells through its own store and two marketplaces. Its hero product converts at half the rate on its own site. Comparing listings shows missing size options and slower delivery estimates, both fixable within a week.
Practical Insights / Actions
Use the GAP-3 Framework: Gather sales, traffic and stock data by channel; Analyse where demand exists but conversion or availability fails; Prioritise the three gaps with the largest revenue at stake.
The common founder mistake is buying a customer data platform before deciding which sales questions matter. The hidden opportunity is often in existing customers: reorder timing and bundle offers can close gaps faster than new acquisition.
Future Outlook
Expect more data-sharing arrangements between brands and retailers, and tighter privacy expectations under Australian Privacy Act reforms. Brands with consent-based, well-organised data will negotiate from a stronger position.
Conclusion
Ecommerce sales gaps are fixable when you can see them. Start with unified product data and a short list of revenue questions. If you want a practical audit of your data flows and quick-win gaps, RP SoftTech can help Australian businesses map and automate the process.
