All-in-one digital marketing and CRM platform that combines email campaigns, SMS, WhatsApp, automation, and sales pipeline management into a single tool.
@markdmei Timing note: run this before the BFCM volume ramp, not after. Deliverability damage from dead profiles compounds fastest when daily send volume spikes, and the cleanup trims the list-count bill right before the most expensive sending month.
@JaneschAndreas Buyers diligence the list like a revenue line: share of revenue from email and SMS, repeat purchase rate, and how much of the list engaged in the last 90 days. Subscriber count is easy to inflate; per-subscriber revenue is not.
@IdrisEcom_email One measurement note: score the middle emails on clicks, not revenue. They hand the order to the final 'ends tonight' email, so last-click credit lands on the closer and the middle looks flatter than it really is.
@Mailvora Two small upgrades: send the resend at a different hour, since timing is often why the first one got missed, and change the preview text along with the subject. And exclude first-send clickers - they saw it, so a 'you missed this' lands wrong.
@EffectiveAppsHQ Extend the test to the flows behind it. Place the order and watch what fires: the confirmation timing, whether a cross-sell lands on top of the BFCM offer, and whether cart reminders stop once you've bought. Customers notice the collisions first.
@THristov_ Not retroactively. Attribution window changes apply to future conversions only; existing conversions keep the window they were recorded with. Comparing periods across a change mixes two windows, so label the change date in your reports. https://t.co/Y28hj6j1gF
@roshltv The ZPD point is where most setups stop short. If someone tells you their skin concern in the popup, the first welcome email should speak to that concern, not a generic brand intro. The data only pays when a flow uses it.
@kushj7777 The tradeoff with that filter: it also drops genuine Apple opens, so real readers on iPhone land back in the resend and get a 'you missed this' for an email they saw. Worth excluding recent clickers too; a click is the one signal Apple can't fake.
@wiz_pz The check after a good submit rate: how those signups convert to first order in the welcome flow, by popup and offer. A 15% submit on a heavy discount can fill the list with people who never buy at full price.
@39Sazzan The 'who never came back' list is the one I'd start with. Check what they bought first and how long ago, then test one win-back tied to that product against the Friday discount for a month. Cheaper than reacquiring them through Meta.
@itsjawadahmed The signal I'd watch: second-order rate among customers who never engaged with email. If that's healthy, the product works and email can amplify it. If it's weak even there, no flow will fix it.
@BsalBeing The quickest separator is where the drop starts. Orders down with steady clicks points to the offer or landing page. Clicks down on one email only points to that email. Clicks down across the whole account: check deliverability before rewriting any flows.
@SferlicRadu I'd test a small restock too: 5 units returning with 200 people waiting. Who gets notified, in what order, and what happens when those 5 sell? The flow can work perfectly on a big restock and still send shoppers straight back to a sold-out page on a small one.
@Mailvora I'd save what they bought and which offer brought them in, too. Next November, a refill reminder and a gift guide may suit different buyers from that same cohort. Keep the purchase history, then check consent and recent engagement before choosing who to email.
@storiesbyohama For that A/B test, I'd change one objection at a time and keep the offer and timing the same. A sizing guide versus reviews is a useful test; changing the discount too makes the result harder to read. Judge the winner on orders per recipient, not just clicks.
@markdmei The handoff is a good time to save a baseline: which flows are live, campaign frequency, list size and revenue per recipient. Then log what changes each week. Otherwise it's hard to tell what improved the program versus what came from a bigger list or a stronger sale.
@SuhritMamidi10 The sale-window flows need an exit plan too. I'd put the offer end time and the person restoring evergreen content on the calendar now, then test what someone entering late will receive. Nobody wants a Monday reminder promising a Friday-only price.
@Ada___obi Win-back timing needs its own check. Someone buying a sofa isn't inactive on the same schedule as someone buying shampoo. Start with the usual time between orders, then test a delay just beyond it rather than copying a 60-day default across every brand.
@bojesomo_samson I'd check how those flows hand off to each other. Once someone starts checkout, the browse reminders should stop; once they buy, checkout reminders should stop too. Test the whole journey with one profile, not just each flow in isolation.
@NAndriievskyi For /qa, I'd keep a real inbox-and-checkout test alongside the AI review. Klaviyo's in-app unique coupon preview isn't a usable code. Send a test email, follow the links and try the discount on an eligible cart; a clean design can still hide a broken purchase path.