Clear ownership and accountability
KeepCard is operated by Zologic, with Almin Zolotic named on the key product and guide pages. That means the business behind the product is visible, contactable, and accountable for how it presents the workflow. If something here is unclear or misleading, merchants can raise it directly at hello@keepcard.io.
Legitimate issues follow the normal route
KeepCard is designed to sit before the return portal, not to interfere with legitimate customer issues. Damaged items, defective products, wrong shipments, and other merchant-defined sensitive cases are routed into the normal return path without an offer or an added detour.
That standard matters because fast resolution only works when the customer experience still feels fair. KeepCard does not use incentives to suppress defect claims or policy-sensitive returns. Preference-based cases such as sizing regret, changed mind, or expectation mismatch are the only category where a merchant can choose to offer an earlier resolution.
Even in those cases, the merchant decides the rules and the customer can still decline the offer and continue into the standard return workflow.
Merchant rules stay in control
KeepCard does not replace return policy, override merchant decisions, or improvise its own outcomes. Merchants configure which reasons are eligible, what incentive to offer, how repeat claims should be handled, and where a session goes if an offer is declined or flagged. The product enforces the configured workflow; it does not substitute for it.
Results are reported with context
Return economics vary widely by product category, margin profile, resale value, and reason mix. A fashion store, a homeware seller, and a supplement brand do not experience the same return problem and should not expect the same recovery profile.
For that reason, KeepCard does not present one merchant's outcome as a universal benchmark. When examples are published, they are described in context: what kind of store it was, what return reasons were involved, what offer logic was used, and what the workflow actually changed. Case studies are evidence of behavior in a specific store, not promises about another merchant's results.