A first-time buyer and your best customer shouldn’t get the same email.
Everyone on your list gets the same message, so new buyers, regulars and lapsed customers all hear the same pitch. That leaves money on the table.
We build segments from real purchase behavior, product categories, customer value and engagement. Each email then speaks to customers in a way that matches their relationship with your brand. We keep it helpful and product-focused, so it never feels like spying.
Segments based on purchase behavior and customer value
Dynamic content blocks that change by segment
RFM segments, which rank customers by recency, frequency and spend
Predictions and suppression rules that protect your engagement
We look at purchases, product categories, customer value and engagement to see which groups really behave differently.
New customers, repeat buyers, VIPs, lapsed customers and category groups come first, because they change how you communicate.
RFM scoring shows your best customers, those at risk of leaving and those who need a nudge, then feeds flows and campaigns.
Dynamic blocks and product data let each email reflect what someone viewed, bought or left in their cart.
We work across Shopify, BigCommerce, WooCommerce and ERPs, so we understand Klaviyo in the context of the broader ecommerce operation. That helps us build segments on the customer data your other systems hold, rather than treating email as a silo.
Fewer than you’d think. A handful of meaningful segments beats dozens of overlapping ones. We focus on those that change how you communicate: new customers, repeat buyers, VIPs, lapsed customers and category-specific groups.
RFM stands for recency, frequency and monetary value. It’s a simple way to spot your best customers, those at risk of leaving and those who need a nudge. Our RFM segments feed targeted flows and campaigns.
Yes. Klaviyo has strong product feed integration with Shopify and other platforms, so content can reflect what customers viewed, bought or left in their carts.
By staying helpful. We focus on product-level relevance and value, avoid overly specific personal details, and respect customer preferences at every step.
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