What we are building next, in the order trust requires. No dates promised: when an item ships, it moves down into the log below.
Budget moves, proposed
The employee spots budget trapped in underperforming campaigns across Meta and Google and proposes the reallocation for your approval, with the math attached.
Brand-search right-sizing
When paid brand ads are buying clicks your organic results already had, the employee proposes the reduction and shows what it expects to save.
The weekly report, from the employee
A weekly email reporting what was watched, found, and fixed, receipts included. Opening the app becomes optional.
Autonomy you grant, gradually
After you have approved the same kind of fix again and again, the employee can stop asking, inside guardrails you define. You stay in charge of when.
v1.2.0
The employee starts fixing: approve-to-fix with receipts
•Findings now arrive with a proposed fix: approve with one tap and Ripplux executes it on the platform
•Action receipts: every executed fix records what changed, when, and on whose approval
•Approval inbox: review, approve, or dismiss proposed fixes in one place, including in batches
This is the loop Ripplux is built around: find the waste, ask permission, fix it, show the receipt. Nothing changes without your approval.
v1.1.0
Live on the Shopify App Store
•Ripplux is approved and publicly installable from the Shopify App Store
•One-click install, 14-day free trial on every plan
v1.0.0
Ripplux is Live
•Ad Waste Audit: see estimated waste across brand cannibalization, creative fatigue, and channel overlap
•Confidence badges: every finding shows ESTIMATED or TESTED to show how certain we are
•Google Ads holdout experiments: prove findings with real data, not guesses
•Two plans: Pro ($149/mo with experiments) and Growth ($299/mo unlimited)
•Weekly digest emails: waste summary and recommendations delivered to your inbox
•Data export and account deletion: your data, your control
Ripplux analyzes your Shopify orders alongside Meta and Google ad data to find wasted spend. Unlike attribution tools that tell you what's working, we tell you what's not, and help you prove it.