Synckony Intelligence
Know when every customer will buy again.
Your order history already knows which products get repurchased, on what rhythm, by whom. Intelligence reads those signals — from your store on Neto, Shopify, or GoDaddy Online Store — and turns them into perfectly timed campaign triggers in Klaviyo, SmartrMail, Omnisend, or Nitrosend, so your flows fire when a customer is ready to buy, not when a generic timer runs out.
Eight predictive automations
Campaigns your email platform can't time on its own.
Intelligence turns customer, product, return, voucher, shipping, and gift signals into smarter marketing moments — each one delivered as a trigger your existing flows can act on.
Reorder reminders
Trigger timely reminders when a shopper is likely to need a product again, instead of guessing the follow-up window.
Cross-sell journeys
Promote the next best product based on how customers actually buy from your catalogue, not broad category assumptions.
Churn-risk win-back
See when a customer drifts outside their normal buying rhythm and send a win-back campaign before they go cold.
Review request timing
Ask for reviews when an order is old enough to have been used, but fresh enough for the customer to respond.
Voucher expiry reminders
Bring shoppers back before unused voucher value expires, with timing and product suggestions already lined up.
Post-return recovery
Follow a return with a service-led recovery campaign that rebuilds confidence instead of letting the customer drift.
Gift buyer reminders
Use gift-purchase history to trigger anniversary-style follow-ups when the same buying window comes around again.
Price-drop alerts
Tell shoppers who viewed, carted, or bought a product when its price drops — suppressed if they only just purchased it.
…plus first-order nudges for new signups, early-adopter alerts when new products land, and subscribe-and-save prompts for rhythm buyers — eleven prediction types in all.
Under the hood
Predictions you can actually trust.
It learns every product's rhythm
The engine reads your order history and works out each product's real repurchase cadence — per product, not a store-wide average. A 30-day supplement and a 9-month filter are timed differently.
It watches every signal your store has
Orders, customers, products, returns, vouchers, gift purchases, shipping choices — on Shopify via native APIs, on GoDaddy Online Store via the GoDaddy Commerce public API, and on Neto including the admin-only data Synckony unlocks, like wishlists and subscriber activity.
It fires at the right moment
Each prediction is scheduled to the shopper's own buying window and most-engaged hour, then delivered into your email platform as a campaign trigger.
It shows its working
Every prediction carries a confidence score, a reason code, and the supporting numbers — so you can see exactly why a customer entered a flow.
Example — what a prediction looks like
Reorder due — Daily Greens 500g
This product gets repurchased every ~34 days. Ava last ordered 31 days ago.
confidence 0.86 · reorder_rate_threshold
Confidence score and reason code attached, with the supporting numbers.
→ Klaviyo flow, 9:00am her time
Delivered as a campaign trigger at the shopper's most-engaged hour.
Where predictions land
Triggers inside the tools you already use.
Predictions are delivered as events into Klaviyo, SmartrMail, Omnisend, and Nitrosend — mapped to metrics and custom triggers your flows react to like any other event. No new sending tool to learn, no list to maintain.
- Klaviyo: predictions arrive as custom metric events, ready for flow triggers and segments.
- SmartrMail: each prediction type maps to its own custom-trigger automation endpoint.
- Omnisend & Nitrosend: predictive events land as custom events that start flows.
- Deletion-aware handling keeps enriched audiences clean as records change.
Included in the plan
Every prediction trigger ships with the one Synckony plan — $9 AUD/month plus 1¢ per order, 1¢ per customer profile, and 1¢ per product synced. Commissions and referrals can bring it to $0.
See what your order history already knows.
Book a call — we'll look at your store together and show you the first predictions Intelligence would fire.