Thank You
"Your Order" -- order confirmation
From $130 avg LTV to $250 -- redesigning what happens after someone buys
235,550 customers have only ever bought from one category (beard care). They're sitting at ~$60 avg LTV. Customers who buy from a second category jump to $469 avg LTV. Our post-purchase email flows are the #1 lever to drive that second purchase -- and right now, they're not doing the job.
Our current post-purchase flow is a 38-day linear sequence that hits every buyer with the same generic product recommendations regardless of what they bought, what they're interested in, or whether they've even received their order yet. It generates some revenue but leaves massive value on the table.
We believe the post-purchase window (Days 0-30) is the single highest-leverage moment in the customer lifecycle. The buyer is excited, engaged, and open to deepening their relationship with LB. The question is: what's the best strategy to use that window?
This document lays out two new approaches and tests them against each other.
We decide what they see. Purchase data determines which category flow they enter. Every buyer gets product recommendations starting Day 1. Higher volume, lower relevance.
Philosophy: "We know what you need."
They tell us what they want. 6 bridge emails woven into trust content. Customers self-select into product flows by clicking. No click = no product push. Higher relevance, lower volume.
Philosophy: "You tell us what you want."
The category LTV multiplier is the most important number in our business. Every customer we move from 1 category to 2 categories is worth 7x more over their lifetime. But we can't force it -- customers who feel sold to early will disengage, unsubscribe, and never come back.
This test answers a fundamental question: Is it better to push products aggressively to everyone (Group A), or earn permission first and only sell to hand-raisers (Group B)?
Both new groups separate emails into Part 1 (before product arrives) and Part 2 (after delivery webhook fires). Current flow ignores delivery timing entirely.
Instead of generic product recs, both groups have dedicated flows for Body Care, Beard Growth, Apparel, Trimming/Accessories, and Subscribe & Save.
A parallel 45-60 day reorder loop runs independently of the main flow. Current system has a single Subscribe & Save email at Day 28.
Cross-sells are matched to the customer's purchased scent (Executive, American, 1880, etc.) -- not generic product blocks.
Revenue Per Recipient (RPR) at 60 days. Total revenue generated divided by total recipients in each group. This is the only number that decides the winner.
Second category purchase rate, conversion rate on category flows, unsubscribe rate, click rate, repurchase rate. These tell us why one group won.
Non-Sample First-Time Buyer flow (ppn-original path). Two separate Klaviyo flows -- post-purchase + post-delivery.
"Your Order" -- order confirmation
"Hey {{ first_name }}, quick note..." -- personal message from Spencer + Mink
"You've gotta see this!" -- 365-day guarantee intro
"Order Update" -- shipping/status info
"Product Demo" -- how to use what they bought
"What to expect" -- timeline for results
"The ultimate beard care guide"
"The perfect Nightcap!" -- product pitch
"Avoid The Artificial Ooze" -- body care cross-sell
"Does size matter?" -- growth category push
"Ready for an upgrade?" -- upsell
"How you doing?" -- relationship touchpoint
"Secret Savings!" -- subscription pitch
"Freee Moneyyy" -- $10 store credit
"$10 Store Credit" -- credit reminder
"Your Store Credit Expires Soon"
"Say Goodbye Your $10 Store Credit" -- urgency
"That fresh feeling!" -- final cross-sell, A/B test
Purchase history determines which category flow they enter. No self-selection.
Shipping, how to use, what's coming
Founder story, community
Scent-matched body care push
Oil --> 3-step kit upsell
Tutorial now that they have it in hand
Customer before/after -- "this could be you"
FB group, engagement
Social proof cross-sell -- they're using it now
Body care kit offer
Direct links to scent-matched products
System decides. Customer has no input.
Education push
Scent-matched
Social proof
Bundle CTA
Education
Product intro
Stack intro
CTA
Identity play
Top item spotlight
Combo offer
15-20% off pitch
Savings breakdown
Final CTA
One-click reorder, exact scent
Consistency social proof
Subscribe & save pitch
"We saved your [scent]"
6 bridges across 21 days. Customers self-select into SPP flows via clicks. No click = no product push.
Shipping timeline, how to use, what's coming next
Founder story, community, why LB exists
How-to for their products. Ends with: "Most guys don't realize their body wash works against their beard oil. Tap here."
Why matching scents matters
#1 seller, narrative arc
Customer story (tension)
Reveal: complete kit
Resolution: offer
Real customer before/after story + results
Internal + external approach
Customer growth story
Boost + Activator stack
Reveal: full stack
Resolution: bundle CTA
Growth story. Ends with: "Curious what he used to fill in his weak spots? Tap here to see his growth stack."
Full system overview. Ends with: "Want to match your [Executive] scent across your whole routine? See the full collection."
If already entered via Bridge 1, skips to next unseen SPP in the stack
Neckline, cheek line, lip line
Blade quality, guard precision
Spencer's actual tools, styled
Derma roller, shaping tool, bib
Tutorial on neckline, cheek line, mustache trim. Ends with: "Want to see the exact tools our team uses to get these lines at home? Tap here."
Spencer in "Do Better" tee, Mink in "Rent Due" hat. Story about being a leader of men. Ends with: "If this hits home, we made gear for guys who think like this. Tap to see the collection."
Story, values, not product
Brotherhood members wearing gear
Customer photos, social proof
Tees, flannels, hats -- CTA
Yearly spend math without sub
Pause, cancel, swap anytime
Real savings, real customer
One-click subscribe, bi-monthly
Value-first angle. "See how subscribers save $140+/year on the products they already use. Tap to learn more."
Final bridge -- links to every category they haven't clicked yet. Body care, growth, trimming, apparel, subscribe. Last chance before trunk ends.
"Your [Executive] routine is half-built. Tap to complete it." Short, urgent, bridge link.
One-click reorder, exact scent
Consistency social proof
Subscribe & save pitch
"We saved your [scent]"
Same trigger, same replenishment loop, fundamentally different philosophy
| Dimension | Group A -- Auto-Route | Group B -- Bridge / Self-Select |
|---|---|---|
| Core Philosophy | We know what they need based on purchase data | They tell us what they want via clicks |
| First Product Email | Day 1 -- immediate cross-sell | Day 5 -- bridge embedded in tutorial content |
| Who Gets Product Flows | Everyone -- auto-assigned by purchase history | Only hand-raisers who clicked a bridge link |
| Audience Seeing Offers | 100% of buyers see category product recs | ~20-40% self-select into product flows (est.) |
| Expected Conversion Rate | 1-3% on category flow emails (industry avg) | 10-22% on SPP flows (Chaperon benchmarks) |
| Revenue Per Recipient | Lower RPR, higher total volume | Higher RPR, lower total volume |
| Unsubscribe Risk | Higher -- some get irrelevant product recs | Lower -- only see what they asked for |
| Deliverability Impact | Risk of engagement drop from unwanted sends | Protects engagement metrics and sender reputation |
| Non-Interested Customers | Still get product emails anyway | Stay on value track -- get more trust content |
| Long-Term List Health | Potential fatigue at scale over 6-12 months | Healthier list, compounding engagement over time |
| Structural Tension | No -- products presented directly | Yes -- SPP builds desire before revealing offer |
| Personalization Source | Purchase data (we infer intent) | Behavioral data (they declare intent) |
| Complexity to Build | Moderate -- conditional splits on purchase data | Higher -- bridge links, click tagging, SPP automation |
| Chaperon Alignment | Low -- violates "Permission Before Promotion" | High -- follows all 3 strategic upstream decisions |
Total revenue generated / total recipients in group. The only number that matters.
% of customers who buy from a 2nd category within 60 days
Group A: CR on auto-routed branch emails. Group B: CR on SPP emails (post-bridge).
Total unsubs / total recipients over 60 days. List health indicator.
Engagement quality. Expect Group B higher on a per-email basis.
Are they coming back for what they already bought? Baseline health check.
Group B will generate higher revenue per recipient and lower unsubscribe rates than Group A. Group A may generate more total short-term revenue due to higher volume. At 90+ days, Group B will overtake Group A on total revenue as the 85% rule kicks in and self-selected audiences compound.