Move the slider to your average daily revenue. You see immediately what failing searches cost per year and what Eywora would bring back through the conversion funnel.
€50,000/ day
€912,500
+€638,750
Non-binding estimate based on industry benchmarks. No assurance or guarantee. Actual results depend on catalog, data quality and search share.
How we calculate
We disclose the assumptions the calculator uses. Each value is set conservatively and can be backed up with public industry research.
The share of total revenue generated through internal search. In B2B shops this value typically lies between 25 and 40%. We conservatively use 17.5%, so that shops with little search traffic also see a realistic lower bound.
Studies show that 20-40% of all search queries end without a successful purchase. A significant share of that is down to poor search results. Set conservatively: 25% of search sessions lead to no purchase that would have been possible with better search. In the calculator we set the loss from failing searches at a flat 5% of total revenue.
Typical industry values for conversion uplift through AI search range from +12 to +30% on search traffic. We use +20%. The Eywora track record at comparable B2B shops averages +28%, which we deliberately do not use as the basis here.
Daily revenue × 365. We do not factor in seasonality or growth trends. For a B2B shop with stable business, the projection tends to be on the conservative side.
Loss = daily revenue × 365 × 5%Gain = daily revenue × 365 × 3.5%The gain value (3.5%) emerges from a +20% uplift on a search share of roughly 17.5% of total revenue, which conservatively reflects the average B2B value.
Three real-world sizes
€50,000 / day
€150,000 / day
€400,000 / day
At a daily revenue of €50,000, Eywora earns back its annual cost in under 5 days. At €150,000 from day 4. At €400,000 from day 3.
Even with a conservative conversion uplift of only 5% instead of 20%, payback stays under two weeks.
Questions about the ROI calculator
Set conservatively. We use the lower end of public industry studies on search share and conversion uplift. The Eywora reality at comparable shops is typically clearly better, but that is not what we use here.
Non-binding. It is a model projection, not an assurance. The actual impact in your shop depends on catalog depth, data quality, search-traffic share and industry. We can make binding statements after a test on your own data in the 14-day trial.
So the model also shows a realistic lower bound for shops with little search traffic. In B2B the search share is often 25-40%; we use 17.5% and set the loss from failing searches at a flat 5% of total revenue. Those with a higher share see correspondingly higher figures in practice.
In the fit-check we measure it together with your analytics data. If none is available, we estimate via industry median and confirm the assumption after 7 days of Eywora tracking.
Through three mechanisms: fewer zero-result sessions (typos, synonyms), better result ordering (semantic re-ranking), and higher conversion on the results (visual + context-aware variants). Which mechanism kicks in hardest in your shop, we see after 14 days of testing.
Yes. The ROI values shown in the example cases include Eywora licence costs (Growth plan or enterprise estimate). Net of cost.
30-minute fit-check on your real search traffic. We deliver a defensible number, based on your data, not on industry averages.
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