Bishal

How Email Became 43.79% of Their Revenue £172,058.62 in email-attributed revenue over the last 30 days. That’s 43.79% of their total sales. Up 54% compared to the previous period. I’m not sharing this to brag. I’m sharing it because the path to getting here isn’t what most marketers expect. We didn’t run hyper-detailed segmentation. We didn’t test 29 variations of the same subject line. We didn’t implement “AI-powered personalization”. We focused on 4 principles. And all of them are what actually move the needle. Let me break them down. Problem #1: They weren’t sending enough emails Before we partnered, they were sending maybe 4 campaigns a month. Not by strategy — by bandwidth. Marketing had too much on their plate, and email only got attention when everything else was done. But here’s the truth: If your competitors show up in the inbox more than you, they win — even if their product is worse. Because when the moment to buy comes, people buy from whoever is top of mind. And people remember who emails them. So the first thing we did? Increase frequency — strategically, not randomly. Problem #2: They were missing the Trust Layer Every email was beautifully designed. Which is great for conversions… But terrible for Trust. Designed emails trigger the “this is a brand selling to me” response. What they didn’t have was a human voice. Something real. Someone subscribers could connect with. So we built what I call the Inbox Host. A person, not a logo. A personality. A voice. A guide. And we used this voice exclusively in text-only emails. No graphics. No buttons until the end. Just real communication. These emails build Trust in a way designed emails simply cannot. And trust always compounds. Problem #3: They had “Fiverr Flows” You know the type: Templatized. Generic. Copy/paste. “Welcome to the family!” “Here’s 10% off!” Technically correct. Strategically useless. Flows should work like ads — always converting in the background. Theirs weren’t converting at all. So we rebuilt everything from scratch: • Welcome • Browse • Cart • Post-purchase • Winback Every flow was rebuilt around psychology, timing, and intent — not templates. Suddenly, they weren’t losing money in the cracks. They were capturing it. Problem #4: Everything relied on logic instead of emotion The old emails were spec sheets. Feature → Benefit → Technology. All logic. Very little emotion. But people never buy with logic. Logic just justifies the decision they already made emotionally. So we shifted everything to a Conviction-Building Framework: Trust: “I believe this will work for me.” Desire: “I want this.” When both are high, buying becomes the obvious next step. The Result 📈 £172,058.62 in email revenue in 30 days 📈 43.79% of total store revenue 📈 54% growth vs. previous period Not because of hacks. Not because of AI magic. Not because of some secret trick. Because we applied principles. Principles scale. Principles last. Principles win. And they’re exactly how we took email from a secondary channel… To a primary growth driver. — Bishal P.S. If you run a 7–9 figure brand and want me to rebuild your email channel the right way, book a call here: calendly.com/alloy_nc/happy…

38% from email & SMS. Not a spike. Not a “good month.” Not luck. A 6-month average. Most brands chase campaigns. We build systems. Flows doing 70%+ of the work. Segmentation that actually means something. Timing based on behavior, not guesses. That’s how you turn retention into a real revenue channel , not just a side thing. If your Klaviyo is sitting at 10–15%, you don’t need more sends. You need a better system.

Built the complete $2M+ DTC Retention Diagnostic System we use for every client audit. Most would charge $1,997 for this I'm giving it away for free Here's what's inside: The 5-Metric Diagnostic Framework - Repeat rate by product category calculator - Time to 2nd purchase velocity tracker - Revenue per subscriber trend analysis - Platform cost per active subscriber formula - Cancellation source breakdown template The 4-Layer Implementation Roadmap - Month 1: Stop the bleeding checklist - Month 2: Gap-filling flow templates - Month 3: Segmentation strategy maps - Month 4+: Velocity optimization playbook The Klaviyo Setup Files - Copy-paste segment definitions - Flow trigger logic (all 12 core flows) - Suppression rules (save platform costs) - Campaign frequency by tier Real Client Breakdowns - $3.2M supplement brand: 18% → 31% repeat rate in 90 days - $5.8M apparel brand: Saved $47K/year in platform costs - $2.1M subscription brand: Recovered $70K/month from payment failures If you're doing $2M+/year and stuck at the same retention metrics for 6+ months: Like + Comment "DIAGNOSTIC" + Follow I'll DM the complete system DTC brands doing $2M-20M/year only. Must have Klaviyo + 6+ months of data. No agencies. No consultants. Founders only.

@NotZainAgain took the soul of it

effect of 3 years of running a d2c brand

@codyplof @codyplof what are you guys using at the moment for Jones's klaviyo Claude or Gpt?

@codyplof Bit of both. Automation handles speed, but we’re building the systems. The analyzer finds the gaps, claude compresses execution and we’re still the ones building the flows at the end.

Expect to see a lot more of this. We’re literally posting a Job opening for this role this week. The times are changing. And they’re exciting.

We built a Klaviyo analyzer that connects to multiple accounts (doing 30% to 40% of email revenue) and shows us how each brand’s lifecycle is actually performing. Every week, we use it to find where revenue is leaking and focus on fixing the highest-impact areas first. So instead of guessing which flows to build, we prioritize what will actually drive revenue and apply what’s already working across other brands.

@beingecom What exactly are you doing for the flow builder

most brands have 1 welcome flow that's like having 1 sales pitch for every person who walks in your store here's what actually works in klaviyo rn: - split by acquisition source (paid vs organic vs referral) - different messaging for each - first email within 4 min of signup we did this for a skincare brand last month went from 18% to 31% email attributed revenue the secret isn't more emails it's the right email to the right person at the right time

the "charge less every year" thing is lowkey the best positioning in the agency space rn every other agency is trying to lock clients into 12 month contracts at higher rates meanwhile brands are figuring out they can do 80% of the work with better systems the ones who lean into efficiency instead of fighting it are gonna win

More isn't always better. Better is better. Forecast more accurately, grow contribution more consistently all while saving money with the Prophit Engine from CTC. Big love to the boys: @Seanfrank @iamshackelford @Jaredorkin @stevenborrelli @steviej @SJohnson_89 for the acting brilliance. This one is a love letter to the DTC x community.

step 2 is where most people mess up tbh the big idea has to connect to a real pain point not just be clever we ran a campaign last month with a dead simple concept "you're leaving money in abandoned carts" nothing fancy but it hit 4.2% click rate because the idea was rooted in something the reader actually felt

Our 7-Step Process to Create Effective Big Ideas:

Most DTC brands lose 40-60% of their potential email revenue in the first 14 days after purchase. The fix: Split your post-purchase flow by customer lifecycle. First-time buyers → education + trust building Repeat buyers → upsells + loyalty offers We've seen this change alone lift 30-day post-purchase revenue by 25-35%. Stop sending the same flow to everyone.

The acquisition-to-retention continuity gap is where most of the money leaks. We see it constantly — paid ads promise one thing, welcome flow says something completely different, and by email 3 the subscriber has no idea what the brand even stands for. Fixing that single disconnect usually lifts welcome flow revenue 25-40%.

A founder told me their retention account was “doing fine.” Campaigns were going out. Flows were live. Revenue looked decent. Then we opened the hood. Paid ads were pushing one angle. The welcome flow opened with another. Zero continuity. They had 180-day engaged segments. But no real buyer logic. No split between first-time buyers and repeat buyers. No control over who saw offers and when. And their post-purchase flow was basically: “thanks for your order.” That account was decent. On the surface. After rebuilding the logic, retention got serious. Acquisition-to-retention continuity fixed. Segmentation cleaned up. Offers stopped cannibalizing full-price buyers. Flow depth expanded. More relevant sends. Less noise. Within 90 days, retention revenue jumped 37%. Same brand. Same product. Same traffic. Better system. That is the difference. Decent accounts send messages. Serious accounts print consistency. If you want an account audit checklist, reply “AUDIT”.

This is huge for retention too. Staggered launches = more flow triggers = more lifecycle touchpoints. We've seen apparel brands 2x their post-purchase flow revenue just by giving each drop its own dedicated email sequence instead of one "new arrivals" blast. Each product becomes a re-engagement event.

Many apparel brands bundle product launches for efficiency. Which is exactly why their marketing runs out of things to say.   When you launch multiple products at once, everything gets compressed into a single moment.   One drop. One email. One campaign.   Looks efficient... but quietly kills a lot of marketing opportunities.   If you launch five products together, you might send three emails about it.   If you launch those same five products separately, each one becomes its own event. Each launch gives you a new reason to email, post, and create attention.   So instead of cramming everything into one announcement, you get multiple moments of urgency.   One drop Tuesday. Another Thursday. Another next week.   Each one creates its own wave of attention.   When everything launches at once, the email turns into a catalog.   When products launch separately, every email has one clear idea and one clear product. It’s more focused — and usually more interesting for the subscriber.   There’s also a timing advantage people overlook: Some people get paid Tuesday. Some people get paid Friday.   Splitting launches increases the odds your product shows up when someone is actually ready to buy or has extra cash.   Most brands bundle launches because it’s easier operationally. But with apparel brands, the product is the marketing.   Optimizing for operational convenience instead of marketing leverage is the wrong tradeoff.

The module most brands will skip is segmentation — and it's the one that moves the needle most. We've seen brands go from 20% to 35%+ email-attributed revenue just by splitting flows by buyer lifecycle stage instead of running one-size-fits-all automations. The playbook is the easy part. Execution without segmentation is just noise.

I can't believe we're releasing this. Inside is everything we did to generate $50M in email revenue for 100+ DTC brands. And now we're giving it away...FOR FREE The Ultimate Email Marketing Playbook is here. 10 modules breaking down the exact systems we use to consistently hit 30-50% of total revenue from email. Inside you'll find: 1. Auditing Your Account 2. List Growth & Pop Up Mastery 3. Flows Mastery 4. Campaign Mastery 5. Deliverability Secrets 6. Segmentation Success 7. Campaign Calendars 8. Email Design 101 9. Copywriting 101 10. Done-For-You Email Apply everything you learn in these modules and your brand will fly. If your email channel isn't your most profitable channel, this will show you what's missing. Want it? Like & Repost this post Reply "PLAYBOOK" and I'll send it over (must be following) You can't say I don't treat you.

100%. The biggest red flag in the first 60 seconds: check their suppression logic. If they're blasting 100% of the list on every campaign, nothing else matters — deliverability is already eroding and they're training Gmail to send them to spam. Architecture starts with who you DON'T email.

Most retention accounts tell on themselves in the first few minutes of an audit. I’m looking for immediate operator signals that show whether the account was strategically built or just patched together over time. A lot of brands don’t have an execution problem. They have an account architecture problem. Want the audit checklist & audit template? Comment AUDIT. #Ecommerce #emailmarketing #ecom

Solid list. The one thing I'd add — most brands stack tools but never connect the data layer. We've seen Klaviyo accounts with 5+ integrations where none of them actually feed lifecycle segments. The stack doesn't matter if your segmentation logic is still "opened email in 90 days."

The 2026 Ecommerce Retention Tech Stack 🧑💻 After working with 110+ DTC brands and generating over $75M+ in revenue for clients, here's the complete tech stack that drives predictable retention revenue. Organized by category so you know exactly what tools to use (and when). 🧵

Here's everything I know about fixing retention for $2M+ DTC brands Scroll below Most agencies would gatekeep this I'm giving it away for free because I'm tired of seeing brands waste money on template solutions The 4-Layer Retention Stack Layer 1: Stop the Bleeding (Month 1) Before you build fancy flows, fix what's actively hurting you: - Suppress profiles inactive 120+ days (save platform costs + deliverability) - Fix payment recovery for subscriptions (recover 45-60% of failed payments) - Add suppression logic to campaigns (stop emailing recent purchasers) - Set up basic post-purchase (thank you, shipping, delivery) This alone typically adds $8K-15K/month in recovered revenue. Layer 2: Fill the Gaps (Month 2) Build the flows everyone's missing: - Post-purchase education (days 7-60, not just day 1) - Consumption-based restock reminders (based on supply duration, not arbitrary 30 days) - Browse abandonment for high-AOV products - Back-in-stock automation Revenue impact: +$12K-28K/month Layer 3: Segment Everything (Month 3) Stop treating everyone the same: - VIP tier (3+ purchases): Low frequency, high exclusivity - Active buyers (1-2 purchases): Standard frequency - One-and-done (90+ days): Aggressive win-back - Never purchased: Convert or suppress Revenue impact: +$15K-35K/month Layer 4: Optimize Velocity (Month 4+) Now you can get sophisticated: - Lifecycle stage-specific messaging - Product category-based cross-sells - Engagement scoring and intervention - Predictive churn prevention Revenue impact: +$18K-45K/month The Timeline Reality Month 1: +$10K/month (stop bleeding) Month 2: +$22K/month (filled gaps) Month 3: +$38K/month (segmentation working) Month 4+: +$55K+/month (velocity optimized) Most agencies try to do Layer 4 first. Wonder why nothing works. You can't optimize flows when your deliverability is destroyed by 60K dead profiles. You can't segment effectively when you don't have post-purchase data because there's no flow. The sequence matters. Fix what's broken. Fill what's missing. Segment what exists. Optimize what works. In that order.

The $2M-20M Revenue Retention Diagnostic (how we find the exact leak in under 30 minutes) Most agencies spend weeks "auditing" your account. Then give you a generic report saying "let's optimize your flows." Here's our actual process: We look at 5 metrics in this exact order. Takes 20-30 minutes. Tells us exactly what's broken. Metric 1: Repeat Purchase Rate by Product Category Not overall repeat rate. That's useless. We segment by: - Product type (consumable vs durable) - Price point ($50-100 vs $100-200 vs $200+) - Purchase frequency (monthly vs quarterly vs annual) Example from last week: Brand overall: 24% repeat rate (looks fine) Broken down: - Consumables ($50-75): 38% repeat rate (good) - Tools ($150-200): 11% repeat rate (terrible) - Accessories ($30-50): 41% repeat rate (excellent) The problem: They were sending the same flows to everyone. Consumable buyers need restock reminders at 28 days. Tool buyers need education + accessories upsells, not tool repurchase. Fixed segmentation → 24% overall became 31% overall in 90 days. Metric 2: Time to Second Purchase by Cohort Not average across all customers. Month by month cohorts. January customers: 47 days average February customers: 52 days average March customers: 58 days average That's velocity declining. Each cohort takes longer to come back than the last one. Something changed in January that's killing momentum. Pull the flows, campaigns, product launches from that period. Find what broke. Fix it. Metric 3: Email Revenue per Subscriber per Month Not total email revenue. That grows as your list grows. Revenue per subscriber shows if you're actually getting better or just bigger. 6 months ago: $1.18/subscriber/month Today: $0.87/subscriber/month List grew 40%. Revenue per subscriber dropped 26%. Classic deliverability death spiral or engagement decay. Pull suppression data, deliverability scores, engagement trends. Metric 4: Platform Cost per Active Subscriber Total Klaviyo/Attentive bill ÷ Active subscribers (90-day opens) Not total subscribers. Active subscribers. Example: Total bill: $4,200/month Total subscribers: 87,000 Cost per total subscriber: $0.048 Looks fine. Actually: Active subscribers (90-day opens): 31,000 Cost per active subscriber: $0.135 You're paying 2.8x more than you think per engaged person. Because you're carrying 56,000 dead profiles. Metric 5: Cancellation Source Breakdown (Subscription Brands) Where is churn actually coming from? Voluntary cancellation: 42% Payment failure: 38% Support-initiated: 20% Most brands don't track this. They just see "18% monthly churn" and panic. But 38% is payment failures. That's not a retention problem. That's a payment recovery problem. Completely different fix. The Diagnostic Output: After 30 minutes looking at these 5 metrics, we know: 1. Which product category has the retention problem 2. Whether velocity is improving or declining 3. If it's a deliverability issue or engagement issue 4. How much you're wasting on dead profiles 5. If churn is product-related or mechanical Then we fix the actual problem. Not "optimize flows" generically. Most agencies charge $2K for a "comprehensive audit." Then give you 40 pages of screenshots and recommendations. We give you 5 numbers and the exact fix. This isn't magic. It's process.

80% of your email revenue doesn’t come from everything you send. It comes from a small percentage of flows and campaigns. But most brands treat every email the same. That’s the mistake. The best accounts focus on the 20% that actually drives results: • Core flows (Welcome, Abandoned Cart, Post-Purchase) • High-performing segments • Proven campaign angles that convert Then they double down on what works. Instead of: Sending more emails Testing random ideas Hoping something sticks They optimize the few things that move the needle. Because in email marketing: More doesn’t win. Better allocation does. Focus on the 20%… and scale it. #emailmarketing #klaviyo #shopify #ecommerce #dtc #retentionmarketing #ecom #shopifytips #emailflows #marketingstrategy

I've been running Allometrics for over 3 years now. After working with 150+ DTC brands doing $2M-$20M/year, here are some of my biggest lessons about retention marketing: > Most brands are paying $3K-6K/month for platform fees (Klaviyo + Attentive) when 60-70% of their profiles are dead weight. That's $1,800-4,200/month wasted on profiles that hurt deliverability. > The brands stuck at 18-22% repeat rate all have the same problem: They're using template flows from 2019. Welcome > Cart > Win-back at 60 days. That's it. Meanwhile brands at 30%+ have 8-12 custom flows built around their specific product consumption cycle. > Email frequency doesn't kill retention. Bad segmentation kills retention. We have clients sending 6x/week to engaged buyers and 1x/week to VIPs. Same brand, different strategies, better results. > Most agencies won't tell you this: Post-purchase flows generate 3-4x more revenue per email than cart recovery. But everyone obsesses over cart abandonment because it's easier to optimize. > Your biggest retention leak isn't in Klaviyo. It's between day 7-60 after purchase. That's where 40% of customers silently churn because you went dark on them. > Discounts don't fix retention problems. They hide them. If your repeat rate only goes up when you're running 20% off, you don't have retention. You have a pricing problem. Add your own thoughts below and let me know if you agree/disagree 👇