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Demo case · illustrative — fictional brand, scenario figures

Demo case · illustrative · 03

E-commerce · Email retention

Cart and dormant-lead recovery: +12% orders, no extra ad spend

A 4-email sequence that recovers what acquisition already paid for

Atelier Sauge has been selling natural cosmetics online for three years. Traffic is there, the monthly newsletter goes out, the email base grows. And revenue is flat. 2,940 customers add a product to the cart, 882 buy: the other 2,058 close the tab and nobody writes to them. Meanwhile 3,450 people left their email over twelve months and were never contacted again. Two agencies proposed a loyalty programme and a site rebuild. Nobody had opened the automated sequences.

BrandAtelier Sauge (fictional)
SectorNatural cosmetics · e-commerce
SizeSME, 6 people
Period analysed90 days
Work12 days · 4.5 person-days
ToolingSelf-hosted listmonk

Traffic wasn't the problem. Follow-up was

Diagnosis

Email lifecycle audit in four passes: purchase and abandonment journey replayed on mobile and desktop, review of the quarter’s 2,058 abandonments, inventory of the email base (sources, consent, age) and review of existing sends. The 11% open rate does not indict the subject lines: it indicts the absence of sorting. An unsegmented base gets the same email, at the same time, whether it bought last week or visited in 2024.

The funnel before treatment (90 days)
StepVolumePass rate
Visits42,000
Add to cart2,9407.0%
Checkouts initiated1,76460% of carts
Orders88250% of checkouts
Cart abandonments2,05870%
Overall conversion2.1%
Average order€62€54,684 / quarter revenue
Emails captured without an order3,450 (12 months)0 contacted
Single monthly newsletter11% open · 0.3% click
The five follow-up leaks
#LeakWeightWhere it breaks
1No cart recovery41%2,058 abandonments per quarter, zero email sent
2Dormant leads never re-contacted26%3,450 emails captured in 12 months, no reactivation scenario
3Single, unsegmented newsletter14%One send a month to the whole base: 11% open rate
4No buyer exclusion11%The −10% code went out after the order: lost margin, customers trained to wait
5No email revenue measurement8%Impossible to say what email earns, so impossible to arbitrate
  • Two leaks invisible to the owner, and yet decisive: the cart was never recovered at the right moment (the first email went out 5 days after abandonment, when the need had passed), and the base held 3,450 consenting contacts nobody had reopened the file on.

Treatment

Four waves, 12 days, 4.5 person-days. Nothing to rebuild on the site: it all happens in scenarios and instrumentation.

01

Wave 1 — Instrument and exclude (days 1 to 3)

  1. Clean events: cart_abandoned, checkout_started, order_placed, email_captured, unsubscribe, with reliable timestamps.
  2. Automatic exclusions: any order cancels the recovery, any buyer leaves acquisition scenarios, any unsubscriber leaves everything.
  3. Double opt-in and consent traceability: source, date, form. The existing base is sorted by interaction recency.

02

Wave 2 — Cart recovery branch, 4 emails (days 4 to 8)

  1. Trigger: abandonment confirmed after 45 minutes of inactivity, sends at D+1, D+3, D+5 and D+8, in the 10am–12pm and 6pm–8pm windows, never on Sunday.
  2. Segmentation by amount: carts under €150 in the short branch (3 emails), €150 and above in the long branch (4 emails, with the 3-instalment payment argument).
  3. Contained discount: no discount before email 4, single code valid 72 hours, one use per customer. Given too early, the discount becomes the price.

03

Wave 3 — Dormant leads branch, 2 emails (days 9 to 11)

  1. Reactivation at D+30 and D+45: useful content in the first email, a binary choice in the second (stay or leave), −10% discount valid 7 days on exiting the branch.
  2. Quarterly reactivation for contacts with no open in 60 days: content, never a promotion.

04

Wave 4 — Measure (day 12)

  1. Revenue per email, credited to the last click over a 7-day window, de-duplicating orders touched by several emails.
  2. Systematic A/B on subject lines: 50% of the flow, 10,000 sends minimum before concluding.
  3. Review at D+30 and D+90: opens, clicks, recovery, unsubscribes, complaints per 1,000 emails.

Results

Results

Comparison: 90 days before / 90 days after go-live.

1.9%

of carts recovered by email, against 0 — demo scenario

+12%

orders with not one extra euro of ads — demo scenario

€2,190

monthly revenue attributed to email — demo scenario

Before / after
MetricBeforeAfterDelta
Visits42,00043,100+2.6%
Add to cart2,9403,017+2.6%
Cart abandonments2,0582,111+2.6%
Carts recovered by email040 (1.9%)+40
Dormant leads re-contacted03,450+3,450
First orders from dormant leads066 (1.9%)+66
Orders882988+12%
Average order€62€62
Quarterly revenue€54,684€61,256+€6,572
Cart sequence open rate46%
Cart sequence click rate11%
Unsubscribes per email0.32%
What email earnsnot measured€2,190/month

Project yield: €3,900 excl. tax (demo pricing) for €2,190 of extra monthly revenue, paid back in under two months, without touching the site. The gain does not come from a better-written email: it comes from 2,058 carts and 3,450 contacts waiting for a scenario, not a rebuild.

How to read these numbers

These figures are simulated. Three rules we apply on a real client:

  • Assumed low baseline. A single, well-written email recovers 0.6% of abandonments. The full sequence targets 1.9% because it stacks four moments and three arguments. On a shop that already has recovery in place, the realistic expectation is +0.4 to +0.8 points, not 1.9%.
  • The long game. 1.9% on 3,450 dormant leads means 66 orders over a quarter, not in a week. Dormant-lead recovery is assessed over 90 days minimum.
  • Public stop thresholds. Open rate below 30% on the first email, unsubscribes above 0.5% per email, any complaint: cadence or argument is revised before continuing.

The Nexperio method — email lifecycle in five steps

01

Journey replayed

Abandonment, return to the site, order, with a test account and a real address.

02

Abandonment reading

By step, by device and by cart value.

03

Base inventory

Sources, consent, age, open rate per segment. We do not contact what we cannot prove consented.

04

Branch scenarios

From the most profitable to the finest: cart, dormant leads, post-purchase, reactivation.

05

Proof before rollout

Then review at D+30 and D+90, with stop thresholds written in advance.

Illustrative demo case. Fictional brand “Atelier Sauge”, no real customer data, no real email was sent. Figures come from a demo scenario calibrated on public cart-recovery benchmarks.

Internal ticket : NEX-39 · All success stories /cas-de-guerison

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