The 7 Klaviyo Flows Every Store Above €50,000 in Revenue Needs
Which email and SMS automations deliver the largest share of revenue, the order in which to set them up and what matters most for tracking.
Most stores burn budget on new customers while leaving their most profitable revenue channel untouched: automated email and SMS sequences. Set up well, they generate 20–30 % of store revenue, fully automated and without additional ad spend.
In this guide you get the seven flows that truly matter, their typical revenue shares and the right order for implementation.
Why automation is the underrated lever
Paid Advertising brings visitors. What happens next decides profitability. A well-timed flow reacts to the behavior of every individual visitor: did someone abandon their cart, view a product or buy nothing for weeks? There is a fitting message for every situation, automated and personalized.
Good to know: Once set up, Klaviyo flows run around the clock. They scale with your traffic without the cost per message rising.
The 7 flows at a glance
These seven automations cover the most important moments of the Customer Journey, from the first sign-up to reactivation:
- Welcome flow – greets new subscribers and guides them to their first purchase.
- Cart abandonment – wins back buyers who dropped off during checkout.
- Browse abandon – reminds visitors of products they viewed without buying.
- Post-purchase – strengthens the relationship right after the purchase and paves the way to a repeat order.
- Win-back – activates customers who have been inactive for 60–90 days.
- Replenishment – reminds buyers of consumable products to reorder in time.
- Review request – collects reviews and delivers social proof for new buyers.
Which flow delivers how much?
The revenue shares vary by assortment and margin. As a rough guide for a store with a healthy share of repeat purchases:
| Flow | Trigger | Typical revenue share |
|---|---|---|
| Welcome | Newsletter sign-up | 3–6 % |
| Cart abandonment | Checkout abandoned | 5–10 % |
| Browse abandon | Product viewed | 2–4 % |
| Post-purchase | Purchase completed | 2–5 % |
| Win-back | 60–90 days inactive | 1–3 % |
Important: Without clean Server-Side-Tracking, flows run on incomplete data. Triggers then fire late or not at all, and exactly the highest-revenue moments are lost.
How to set up the flows correctly
1. Tracking first
Before the first flow goes live, the tracking has to be in place. Server-side events deliver reliable signals, even when cookies are blocked or iOS limits tracking.
2. Order by impact
Start with the two flows that carry the biggest leverage: cart abandonment and welcome. Browse abandon and post-purchase follow. Win-back, replenishment and review request round out the system.
3. Test and refine
Every flow is optimized over weeks: subject lines, timing, discount logic. Small adjustments with a large impact on the contribution margin.
Remember: Tracking first, then the flows. Every automation is only as good as the data that triggers it.
Conclusion
Anyone running above €50,000 in monthly revenue without well-designed flows is giving away their most profitable revenue channel. The seven automations above are the foundation, and combined with clean tracking they become a reliable growth driver.
Frequently asked questions
How much revenue do Klaviyo flows realistically generate?
Set up well, automated email and SMS sequences typically deliver 20–30 % of total store revenue, without any additional ad spend.
Which flow should be set up first?
The cart abandonment and welcome flows carry the biggest leverage. The prerequisite is always clean server-side tracking that captures the triggers reliably.
Do I need Klaviyo or is my store system enough?
Shopify's built-in tools cover the basics, but only a specialized platform like Klaviyo enables behavior-based segmentation, A/B tests and the flow logic required for predictable revenue.
How long does the setup take?
The core flows are usually live within 2–3 weeks including the tracking setup. After that, they are optimized continuously based on real performance data.
