Ecommerce marketing automation
- cart recovery + win-back, at 90% open rate
Ecommerce marketing automation that turns Shopify, BigCommerce, and WooCommerce events - abandoned cart, browse abandonment, post-purchase, replenishment, 60-day dormant, BFCM - into segment-triggered WhatsApp Business API + Instagram DM + Website widget flows. Recovers 20-35% of carts vs 3-5% on email-only. Runs subscribe & save, replenishment, win-back, and BFCM surge drips with dynamic product feed. Klaviyo alternative on the channels your shoppers actually reply on.
Stone Clothing
Replied in 30 min · 21:48 Tue
Powered by seekadu
Email cart-recovery opens at 18%
Klaviyo + Mailchimp average ecommerce open rate is 18-22% - the 30-min recovery window closes long before most shoppers see it
Browse abandonment is invisible
Shoppers view a product 2-3 times across 2 days without adding to cart - your email tool has no trigger for that
8,000+ dormant customers, no win-back
Past one-time buyers from 60-180 days ago - sitting in Shopify doing nothing, no re-engagement on a channel that converts
BFCM means a manual scramble
Every year the team builds the BFCM email sequence by hand, sends it, watches the open rate slide to 14%, and hopes the doorbuster lands
Trusted by businesses already using Seekadu
What a DTC lifecycle week looks like with ecommerce marketing automation on the line.
The same cart events, browse signals, and post-purchase windows fire. The difference is what happens when a $148 cart drops at 21:48 Tue and your email tool waits an hour.
Without Seekadu
Cart dropped → email at 22:48
Shopify abandoned_checkout fires. Klaviyo waits an hour, sends an email at 22:48. Open rate 18%, click 2%. By Wed AM the cart is cold.
Without Seekadu
Cart dropped → email at 22:48
Shopify abandoned_checkout fires. Klaviyo waits an hour, sends an email at 22:48. Open rate 18%, click 2%. By Wed AM the cart is cold.
With Seekadu
WhatsApp at 22:18, recovered by 22:30
WhatsApp Business API fires 30 min post-ATC with dynamic product feed of the exact SKUs + first-time-buyer offer. Shopper replies in 4 min.
Without Seekadu
Browse abandonment never fires
Shopper views the $89 sneaker 3 times across 2 days, never adds to cart. Email tool has no trigger. Shopper buys from a competitor on Fri.
Without Seekadu
Browse abandonment never fires
Shopper views the $89 sneaker 3 times across 2 days, never adds to cart. Email tool has no trigger. Shopper buys from a competitor on Fri.
With Seekadu
On-site → WhatsApp handoff
Behavioural trigger on 2+ product views fires the on-site message → DM handoff. Sizing answered, cart created.
Without Seekadu
Post-purchase silence → no subscribe & save
Order delivered, shopper goes silent. Email subscribe & save offer at day 30 opens at 14%, converts at 9%.
Without Seekadu
Post-purchase silence → no subscribe & save
Order delivered, shopper goes silent. Email subscribe & save offer at day 30 opens at 14%, converts at 9%.
With Seekadu
WhatsApp conversational subscribe & save
Day 21 WhatsApp with portion math + cancel-anytime framing. Subscribe & save adopted 33% of the time vs 9% email.
Without Seekadu
11,000 dormant customers, no win-back
Customers from 14-22 months ago. Email win-back at 0.6% reactivation. Pipeline gone.
Without Seekadu
11,000 dormant customers, no win-back
Customers from 14-22 months ago. Email win-back at 0.6% reactivation. Pipeline gone.
With Seekadu
WhatsApp win-back at 6.8% reactivation
Segmented by category + AOV + UTM source. 750 reactivated, 230 second purchases inside 60 days.
Want this lifecycle week for your DTC brand?
What your ecommerce marketing automation actually knows.
Plug into Shopify, BigCommerce, WooCommerce, or Magento. Ecommerce marketing automation reads abandoned_checkout, order_placed, order_delivered, customer_created, browse-abandonment, and refund_issued events - segments by AOV band, LTV decile, repeat-vs-new, and original UTM source - and triggers WhatsApp Business API, Instagram DM, Facebook Messenger, website widget, and Business Page flows. Honours transactional vs marketing message rules. Ties every send back to UTM + attributed revenue.
Store events + webhooks
Live read from Shopify / BigCommerce / WooCommerce / Magento - abandoned_checkout, order_placed, order_delivered, customer_created, refund_issued, subscription_paused.
Customer + segment table
AOV bands, LTV deciles, repeat-vs-new, original UTM source, last-order category, dormant cohort timestamp - drives every trigger and offer logic.
Dynamic product feed
Live SKU price + stock + variant inventory per shopper segment. Drives cart-recovery + browse-abandonment + replenishment + BFCM doorbuster messages.
Behavioural triggers
Browse-abandonment (2+ product-page views without ATC), replenishment due-date per consumable category, post-purchase upsell window, 60-day dormant detection.
Attribution + UTM
Per-flow + per-segment + per-channel revenue attribution. Klaviyo / Mailchimp read-side so existing email segments stay the source of truth. Transactional vs marketing template lanes hard-coded.
Seekadu AI
Trained
Cart events
Shopify + 3 more
Order lifecycle
ATC → delivered
Customer segments
AOV + LTV bands
Product feed
Live SKU + stock
Behavioural triggers
Browse + replenish
Dormant cohorts
Per UTM source
Attribution + UTM
Per-flow ROI
Template lanes
Transactional + marketing
Every lifecycle moment - triggered + attributed.
From a 21:48 cart drop to a 14-month dormant win-back - ecommerce marketing automation handles every lifecycle moment with full UTM attribution + Shopify customer-record sync.
30-min WhatsApp + IG DM recovery beats email by 8-15x.
Shopify abandoned_checkout fires at 21:48 - a shopper drops a $148 cart with two SKUs from the new collection. The classic Klaviyo flow waits an hour, then sends an email; open rate 20%, click-through 2%. Ecommerce marketing automation reads the cart event in real-time, segments by AOV band + new-vs-returning + cart-category, and sends a WhatsApp Business API message inside the 30-min recovery window with the dynamic product feed of the exact two SKUs.
- Shopify / BigCommerce / WooCommerce abandoned_checkout webhook → 30-min WhatsApp / IG DM
- Segments by AOV band, new-vs-returning, cart category, customer LTV decile
- Dynamic product feed renders the exact SKUs from the cart inside the message
- 24h + 72h follow-up with progressive dynamic discount for higher-AOV carts
- 20-35% recovery rate vs 3-5% for email-only (Charles / Wati pilot data)
Cart recovered · $148 → $126 net · First-time-buyer LTV started · UTM attributed
Where does your ecommerce marketing automation live?
How ecommerce marketing automation moves cart recovery + subscribe & save + win-back.
Illustrative - outcome ranges modelled on our pilot DTC brands and published benchmarks (Baymard, Charles, Wati, Shopify, Klaviyo). Individual results vary.
Total cart recovery on WhatsApp + IG DM (vs 3-5% email-only baseline)
Subscribe & save adoption lift when offered conversationally vs in-email-only
60-day-dormant customer win-back reactivation rate (vs 0.6% email-only)
30 min
Median cart-recovery message (vs 60-min email baseline)
+$120k-$480k
Attributed quarterly revenue lift at pilot brands
8-15x
Revenue-per-send vs email cart-recovery baseline
4.2x
BFCM revenue-per-send vs email-only baseline
What DTC brands on Seekadu typically see.
Illustrative profiles modelled on real outcome ranges across our pilot ecommerce brands - names and exact figures composite, not individual customer quotes.
Maya Cohen
Founder, Stone Clothing · 320 SKUs · Brooklyn
Klaviyo cart-recovery emails opened at 18%, recovered 3.4% of carts. We layered Seekadu's WhatsApp cart-recovery on top, no email flow changes - recovered another 24% of engaged shoppers inside 30 minutes. The first month paid back the platform 11x.
+32%
Total cart recovery
WhatsApp + email combined
<30 min
Median recovery message
vs 60-min email baseline
8.4x
Revenue-per-send vs email
WhatsApp cart-recovery flow
15 min
Setup
to first recovered cart
Inês Oliveira
Head of Growth, Glow Beauty Co · 1.2k SKUs · Lisbon
We knew subscribe & save adoption was capped on email - people don't engage with subscription offers in their inbox. We moved the post-purchase offer to WhatsApp at the 21-day mark. Adoption moved from 9% to 33%. LTV doubled inside two quarters.
+24%
Subscribe & save adoption
9% → 33% post-launch
+38%
Replenishment repeat rate
60-day cohort
2.1x
LTV lift
first two quarters
0
Transactional / marketing template breaches
since launch
Lucas Müller
MD, Aero Athletic · 180 SKUs · Berlin
BFCM 2024 we ran the standard email drip - three sends, decent revenue. BFCM 2025 we layered the Seekadu surge drip on WhatsApp + IG DM with a dynamic product feed. Revenue-per-send 4.2x our email baseline. Day-of doorbuster sold out two SKUs in 90 minutes.
4.2x
BFCM revenue-per-send
vs email baseline
+62%
BFCM total revenue
2025 vs 2024
90 min
Doorbuster sellout time
two SKUs gone
+€340k
Attributed BFCM revenue
WhatsApp + IG drip
Aisha Patel
Founder, Patel Pets · 2.4k SKUs · Birmingham AL
Pet-food replenishment ran on a fixed 30-day email schedule. People bought a bag of food and ghosted us. We moved replenishment to WhatsApp with the actual SKU + portion math. Repeat purchase moved from 41% to 79% inside 60 days. Single biggest LTV lever we've ever pulled.
+93%
Repeat purchase rate
41% → 79% in 60d
+38%
Replenishment lift
consumable SKUs
+$120k
Attributed quarterly revenue
first 90 days
0
Unsubscribes on transactional template
since launch
Adrien Lambert
Founder, Lumière Skincare · 640 SKUs · Lyon
11,000 customers in the customer table who bought once 14-22 months ago and went silent. The AI segmented them by skin-type + last-order category + AOV band. WhatsApp win-back hit 6.8% reactivation - 750 customers back, 230 second purchases. That's a full year of LTV recovered in 60 days.
6.8%
Win-back reactivation
vs 0.6% email baseline
750
Reactivated customers
from 11k dormant cohort
230
Second-purchase orders
60-day post-reactivation
+€180k
Attributed win-back revenue
first year
Maya Cohen
Founder, Stone Clothing · 320 SKUs · Brooklyn
Klaviyo cart-recovery emails opened at 18%, recovered 3.4% of carts. We layered Seekadu's WhatsApp cart-recovery on top, no email flow changes - recovered another 24% of engaged shoppers inside 30 minutes. The first month paid back the platform 11x.
+32%
Total cart recovery
WhatsApp + email combined
<30 min
Median recovery message
vs 60-min email baseline
8.4x
Revenue-per-send vs email
WhatsApp cart-recovery flow
15 min
Setup
to first recovered cart
Inês Oliveira
Head of Growth, Glow Beauty Co · 1.2k SKUs · Lisbon
We knew subscribe & save adoption was capped on email - people don't engage with subscription offers in their inbox. We moved the post-purchase offer to WhatsApp at the 21-day mark. Adoption moved from 9% to 33%. LTV doubled inside two quarters.
+24%
Subscribe & save adoption
9% → 33% post-launch
+38%
Replenishment repeat rate
60-day cohort
2.1x
LTV lift
first two quarters
0
Transactional / marketing template breaches
since launch
Lucas Müller
MD, Aero Athletic · 180 SKUs · Berlin
BFCM 2024 we ran the standard email drip - three sends, decent revenue. BFCM 2025 we layered the Seekadu surge drip on WhatsApp + IG DM with a dynamic product feed. Revenue-per-send 4.2x our email baseline. Day-of doorbuster sold out two SKUs in 90 minutes.
4.2x
BFCM revenue-per-send
vs email baseline
+62%
BFCM total revenue
2025 vs 2024
90 min
Doorbuster sellout time
two SKUs gone
+€340k
Attributed BFCM revenue
WhatsApp + IG drip
Aisha Patel
Founder, Patel Pets · 2.4k SKUs · Birmingham AL
Pet-food replenishment ran on a fixed 30-day email schedule. People bought a bag of food and ghosted us. We moved replenishment to WhatsApp with the actual SKU + portion math. Repeat purchase moved from 41% to 79% inside 60 days. Single biggest LTV lever we've ever pulled.
+93%
Repeat purchase rate
41% → 79% in 60d
+38%
Replenishment lift
consumable SKUs
+$120k
Attributed quarterly revenue
first 90 days
0
Unsubscribes on transactional template
since launch
Adrien Lambert
Founder, Lumière Skincare · 640 SKUs · Lyon
11,000 customers in the customer table who bought once 14-22 months ago and went silent. The AI segmented them by skin-type + last-order category + AOV band. WhatsApp win-back hit 6.8% reactivation - 750 customers back, 230 second purchases. That's a full year of LTV recovered in 60 days.
6.8%
Win-back reactivation
vs 0.6% email baseline
750
Reactivated customers
from 11k dormant cohort
230
Second-purchase orders
60-day post-reactivation
+€180k
Attributed win-back revenue
first year
Ready to put ecommerce marketing automation to work on your Shopify or BigCommerce store?
Start free trialSeekadu works for every local service business.
Explore how other industries use Seekadu.
SaaS AI assistant
Adjacent industry - trial-to-paid conversion, expansion-revenue triggers, churn-risk DMs
Real estate automation software
Adjacent industry - portal-lead nurture, long-cycle buyer follow-up, dormant-CRM reactivation
White-label AI chatbot for agencies
Adjacent industry - multi-client ecommerce ops, white-label dashboard, per-brand attribution
DTC brand questions, answered.
Everything founders + growth leads ask before switching on ecommerce marketing automation.
Book a demo for your DTC brand →Recover every cart. Reactivate every dormant. Run BFCM on autopilot.
Ecommerce marketing automation - runs natively on Shopify, BigCommerce, WooCommerce, Magento. Recovers carts on WhatsApp in 30 minutes, triggers browse-abandonment DM handoff, post-purchase subscribe & save, 60-day-dormant win-back, BFCM surge drip with dynamic product feed. Sits on top of Klaviyo / Mailchimp / HubSpot - never replaces them. Transactional vs marketing template rules hard-coded. Live in 15 minutes.
14-day free trial, credit card required.
14-day free trial · Cancel anytime · Ready in 15 minutes
Compare plans and features - view pricing.