The build in one paragraph: trigger on Viewed Product with filters that require real interest (a repeat view of the same item, or several views in one category), wait 4 to 24 hours depending on the category's purchase speed, and send one to two emails written as service: the item remembered, the questions a considering buyer actually has, an easy way back. No discounts, minimal urgency, hard exclusions for anyone who carted, checked out, or purchased. Done right it is the widest-reach flow in the account; done as a pushy cart-flow clone it is the fastest unsubscribe generator.
Why browse abandonment is the sleeping giant
The intent ladder has three rungs: viewed product, added to cart, started checkout. Each rung up is smaller and hotter, and most accounts only work the top rung (the split is covered in our cart versus checkout explainer). But the bottom rung is many times larger, and repeat views are the tell: two or more product-page views, or a return to the same category within a day, are among the strongest browse signals an account produces, so a browse-only visitor on their third view of the same item is often closer to buying than a cart abandoner in a cheap category. The flow exists to catch that intent while it is warm, without scaring it off.
The trigger: repeat views, not any view
Triggering on a single product view emails window shoppers, which burns the audience. The filters that make the flow honest:
- Same-product signal: viewed the same product 2+ times within 7 days, the strongest single browse signal there is, or
- Category signal: viewed 3+ products in one category within a few days, the mid-project signal (the home and decor version of this powers the room segments in our home goods guide)
- Exclusions, non-negotiable: anyone with Added to Cart or Checkout Started in the window (they belong to those flows), recent purchasers of the viewed item, and active subscribers where the viewed product is subscription-covered
- Frequency cap: once per profile per 14 to 30 days, because browse behavior recurs and the flow must not become a stalker
Reality check on reach: browse events require Klaviyo's onsite tracking and a cookied profile, so the flow only sees identified visitors. That is normal; it is also one more reason the welcome flow's job of identifying people early matters.
The email(s): service, not pursuit
Email 1: 4 to 24 hours after the signal
Job: be the helpful shop assistant, not the mall kiosk guy. Show the product they were considering, then answer the questions a considering buyer has: the details that matter in your category (materials, dimensions, ingredients, fit), the social proof that fits (reviews matched to their segment where you have the data), and the policies that de-risk (shipping, returns, guarantee). One click back to the product. The tone test: would this email be welcome from a knowledgeable store clerk who noticed you looking? If it reads like being followed around the store, rewrite it.
Email 2, optional: 2 to 4 days later, category-dependent
For considered categories, a second touch earns its place with new information: the item styled in context, a comparison guide, the education content that moves the decision. For fast consumables, skip it; the moment passed, and campaigns will reach them anyway. Never a discount in either email: paying people for looking is the most expensive habit an account can teach, and it undercuts every full-price conversion the flow would otherwise produce.
Timing by category
- Consumables (supplements, CPG, beauty): first touch at 4 to 8 hours, one email, done. Purchase decisions are fast; the flow should be too.
- Fit and variant categories (apparel, color cosmetics): 12 to 24 hours, with the email answering the variant anxiety (size guidance, shade matching) that caused the hesitation.
- High-AOV considered (home, leather, jewelry, gear): 24 hours, two touches across a week, education-led, per the considered-purchase playbook.
- Seasonal categories: the calendar modulates pressure, per the seasonal architecture: the same viewed rod carries different urgency in July than January.
What to measure
- Placed-order rate and revenue per recipient, judged on clicks (Apple MPP inflates opens 15 to 35%)
- Unsubscribe and complaint rate, the flow's specific failure signature: browse flows that trigger too easily or push too hard show it here first, against the 0.1% working ceiling
- Incrementality sanity check: compare converters who received the flow against the carted-anyway baseline; a browse flow that only catches people who were about to cart is decoration
- Trigger volume vs list identification rate, which tells you whether the constraint is the flow or how few visitors are identified
Frequently asked questions
What should trigger a browse abandonment flow?
Repeat interest, not any view: the same product twice in a week, or several products in one category. Single-view triggers email window shoppers and burn the list.
Should browse abandonment emails offer a discount?
No. It is the earliest-intent audience; discounting it trains the entire list to browse for coupons. Service content converts the genuinely interested at full price.
How many emails should the flow send?
One for fast categories, two for considered ones, capped per profile per month. The browse audience recurs; the flow must not.
Why is my browse flow's audience so small?
Only identified (cookied) visitors enter. Growing it means identifying more traffic earlier: signup units, the welcome flow, and click-through identification from campaigns.
Where does browse abandonment sit relative to cart and checkout flows?
Bottom of the intent ladder, widest audience, gentlest touch, with hard handoffs upward: the moment someone carts or checks out, they exit this flow and enter those.
Sources
- Tie. Browse abandonment strategy and repeat-view triggers.
- Klaviyo Community. Event and intent-tier guidance.
- Klaviyo. Email marketing benchmarks.