// Services

Inside the
lab.

This is what running a Klaviyo experiment lab actually looks like. What we do, how we do it, and why treating your email account as an ongoing experiment produces better results than treating it as a calendar obligation.

Certified Klaviyo Partner
We know the platform at depth. Extracting signal from noise inside a complex Klaviyo account is a familiar problem. It is what our founder did with atmospheric datasets at NASA, applied to a different domain.
Klaviyo Partner
01 // The lab mindset
Your account as an experiment.
Most agencies treat your Klaviyo account like a production line. Build the flows, press go, send the campaigns, repeat. We treat it like an experiment. Every change is deliberate. Every result is observed. Every finding feeds the next decision. The account gets smarter every month because someone is running it like a lab, not a conveyor belt.
  • Methodical account analysis before any changes are made
  • Data-driven decisions rather than intuition or best practice
  • Continuous iteration based on what is actually working
  • Honest assessment of what the numbers are telling you
  • Nothing set and forgotten, just everything monitored and improved
  • Compounding improvements over time
// account_analysis · first look

abandoned_cart: trigger at 4hrs
  benchmark: should be 30-60min
  recovery_rate: well below average

welcome_series: 1 email · 3 years old
  RPR: significantly below benchmark

win_back: not configured
post_purchase: not configured
segmentation: date filters only

// estimated monthly gap: significant
02 // The lab data
Decoding Complex Systems.
Our founder spent years working with large-scale atmospheric data on supercomputers. Complex, noisy, chaotic systems are familiar territory. Your Klaviyo account - however messy, however large, however tangled the data – is a tractable problem. We find the patterns other agencies miss and build segments that reflect how your customers actually behave.
  • RFM modelling and cohort analysis
  • Behavioural segmentation beyond date-based filters
  • Predictive lifetime value identification
  • Win-back opportunity mapping
  • Cross-channel data unification
  • Reporting that tells you something useful
// segmentation · rfm_model

cluster_1: Champions
  recency: <30d · freq: 5+ · ltv: £400+
  size: 8% of list · 41% of revenue

cluster_2: At Risk
  recency: 60-90d · showing churn signals
  action: retention sequence

cluster_3: Lost
  recency: >180d · last purchase low value
  action: win-back or sunset

// each segment: different message
03 // The lab work
Flows, campaigns, experiments, all ongoing.
The ongoing work of the lab: flows built and continuously improved, campaigns planned and executed, segments refined as we learn more about your audience. Nothing treated as finished. Everything treated as the current best version, pending the next experiment.
  • Welcome, cart, post-purchase, win-back flows
  • Continuous improvement based on performance data
  • Campaign planning informed by what the data shows
  • Copywriting that reflects your brand and your customers
  • Send time and frequency based on behavioural patterns
  • Honest performance reporting with real context
// flow: abandoned_cart · iteration log

v1: trigger at 4hrs
  recovery_rate: below benchmark

v2: trigger moved to 45min
  recovery_rate: meaningful improvement

v3: second email added at 24hrs
  recovery_rate: further improvement

v4: SMS added at step 3
  currently: monitoring · early positive

// keeps improving. that's the point.

Ready to open
the lab?

Start with the diagnostic audit. We will tell you exactly what is happening in your account: the gaps, the opportunities, and what addressing them is worth. Delivered in writing within 72 hours.

Book the diagnostic audit