Performance Email Case Studies: What 47% Revenue Lift Looked Like

Most agency case studies show only the upside. A 312% increase, a 5x lift, a "transformed" channel — with no baseline, no method, and no honest read on what didn't work. This piece is the inverse. Three real performance-based engagements from our 2025 client portfolio, with the starting numbers, the specific changes, the measured outcomes, and the failures we encountered on the way.

We anonymize the brands but the numbers are direct. All three programs ran under a hybrid pricing model — small monthly base plus 10% to 15% of attributed revenue — over rolling 12-month engagements.

How We Picked These Three

We pulled the three accounts that best represent the typical conditions a mid-market e-commerce brand walks into our qualification call with: a retainer-burned program, a new-build, and an in-house team needing extra capacity. The numbers below are not the best three accounts of 2025 — they are representative ones.

"Mid-market e-commerce brands switching to performance-based email pricing see an average revenue lift of 41% in the first three quarters, with attribution stability reached by month four." — DMA Performance Marketing Benchmarks, 2024

The DMA number aligns with our own internal average — 47% revenue lift across 14 accounts moved from retainer to performance in 2025 (internal data, Flizz, Q1 2026). The three below sit at 38%, 51%, and 64% lift, which is roughly the typical spread.

If you want to read the unanonymized version of any of these studies, our team can share the full case under NDA.

Case One: Retainer-Burned Footwear Brand, Netherlands

The brand sold mid-market women's footwear, ran 60,000 active subscribers, and had spent three years on a fixed retainer with a competing agency. Monthly email-attributed revenue sat at 38,000 euros, against an industry-typical 6% of total e-commerce revenue benchmark — the channel was running at roughly 4.1% of e-commerce revenue, well below ceiling.

Starting numbers (month zero):

Changes shipped in months one to three:

1. Welcome series expanded from 3 emails to 7 with added social-proof and behavioral branching.
2. Cart abandonment flow extended from 2 emails to 6 with SMS layered after email 3.
3. Post-purchase added (had been absent entirely under previous agency).
4. VIP segment activated for 3-plus purchase customers with early-access content.

Results at month nine:

• Monthly attributed revenue: 57,000 euros (+51%)
• Welcome flow conversion: 11.4%
• Cart abandonment recovery rate: 18.6%
• Repeat purchase rate: 27%

What didn't work: Browse abandonment was tested twice and underperformed. The conversion rate sat under 1.5% across both versions, and the team killed the flow at month four to avoid send-rate dilution against the abandonment recovery program. Sometimes a flow that works for other clients doesn't suit this list's behavior.

Case Two: New-Build Healthcare D2C, Germany

The brand sold prescription-adjacent supplements through a D2C model with subscription components. They had no prior email program. We were the first agency engagement, building from a 12,000-subscriber list inherited from acquisition campaigns.

This case is structurally different — there was no baseline to lift, and the engagement is a build-and-measure rather than a turnaround.

Build sequence, months one to four:

1. Compliance review framework set with client's medical advisor (every send reviewed pre-launch).
2. Welcome series built with explicit consent renewal email at week three.
3. Subscription anchor flow built: pause-attempt rescue, replenishment 48 hours pre-charge, churn save.
4. Educational layer launched (3 sends per month) with no promotional content for first 90 days to build trust.

Numbers at month nine:

What didn't work: The educational-only approach for the first 90 days was longer than commercially necessary. In retrospect, promotional sends could have been introduced at week eight without harming deliverability or trust. The conservative ramp cost roughly 22,000 euros in deferred revenue. We've used a faster ramp on every healthcare account since.

Case Three: Capacity Augmentation for B2B SaaS, Belgium

The brand ran an in-house email team of two, sized for monthly broadcasts and a basic welcome flow. They needed automation depth and performance reporting capacity, not full agency takeover.

This case is the smallest of the three. The pricing structure was outcome-milestone — three lump-sum payouts tied to qualified-meeting volume thresholds at months three, six, and nine.

Starting numbers:

Changes shipped:

1. Lead nurture rebuilt from 4-step linear sequence into 9-step behavioral tree.
2. Sales-handoff automation added: every meeting booked triggers a personalized follow-up sequence with the assigned sales rep CCed.
3. Reactivation flow added for accounts inactive 60+ days, segmented by original lead source.

Results at month nine:

• Active subscribers: 22,500
• Monthly qualified meetings: 38 (+171%)
• Lead nurture conversion: 4.8%
• Email-attributed pipeline: 412,000 euros

What didn't work: The sales-handoff automation initially used a generic template that read as a templated handoff. Sales reps reported reduced trust from prospects. We rewrote the template at month four to use rep-specific voice (captured via short interviews with each rep) and the trust signal recovered within 30 days. The early version cost roughly two months of pipeline acceleration.

The Patterns Across All Three

Three things show up in every successful performance engagement.

First, attribution is set early and not relitigated. All three contracts had a written attribution rule before month one. The footwear brand used last-touch within a 7-day click window. The healthcare brand used a multi-touch model with the subscription-platform attribution as primary. The SaaS brand used qualified-meeting volume rather than revenue. None of the three had monthly attribution disputes, and that absence is itself the result.

Second, the highest-leverage automations get rebuilt first. Welcome series, cart abandonment, and post-purchase. These are also the flows that retainer-billed agencies typically run at 50% to 70% of their ceiling because deeper optimization costs unbilled hours.

Third, at least one flow fails and gets killed. Every program has one. The footwear brand killed browse abandonment, the healthcare brand killed an early reactivation experiment, the SaaS brand killed an over-engineered onboarding flow at month two. Performance pricing makes it cheap to kill underperforming flows because the agency does not lose retainer revenue when a flow is cut.

If you'd like to see whether your account fits the pattern of these three, our team runs a 45-minute pricing-fit check — output is a redlined comparison of your current setup against a representative performance baseline.

FAQ

What does a typical performance email case study show?

A real case study shows the starting baseline (subscriber count, attributed revenue, key conversion rates), the specific changes shipped (welcome flow rebuild, cart depth, post-purchase added), and the measured outcomes at a defined later point — typically month nine or month twelve. It also shows what didn't work, which is the part marketing varnish usually omits.

How long until performance lift shows up in revenue numbers?

Stable lift typically lands by month four. Months one to three are setup, attribution baseline, and the first round of high-leverage flow rebuilds. Month four onward is where the revenue-per-recipient number on rebuilt flows passes prior-agency levels and starts compounding.

What revenue lift is realistic for a mid-market e-commerce brand switching to performance pricing?

Across our 14-brand 2025 cohort moving from retainer to performance, the average lift was 47% over three quarters, with a typical spread of 35% to 65%. The lift comes mostly from deeper automation work — welcome, cart, post-purchase — not from more broadcasts.

What kinds of accounts shouldn't use performance pricing?

Three profiles: active lists under 5,000 subscribers (revenue base too small), brand-led programs where email is not the primary commercial channel, and regulatory-heavy programs where compliance review consumes most of the work shape. A retainer fits these three better.

Why include the failures in a case study?

Because every real engagement has them, and omitting them produces case studies that don't survive contact with prospects' own situations. Every program kills at least one flow in the first year. Documenting the kills tells a buyer what kind of agency they would actually be working with, which is the question case studies are supposed to answer.