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Rahul Mulani

Founder & CEO at Tameta Tech | Helping eCommerce founders turn their vision into scalable, tech-powered brands | SaaS & automation for modern businesses.

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How We Finally Chose Our 2026 Tech Stack (After Way Too Much Research) I'll be honest- I spent weeks going down rabbit holes. Every founder knows this feeling: you're comparing feature matrices at 2 AM, reading contradictory reviews, and wondering if you're about to lock yourself into the wrong ecosystem for the next two years. Stop optimizing for "best on paper." Start optimizing for "proven in practice." Here's what we're running at Tameta Tech in 2026: • Storefront: Shopify • Post purchase surveys: KnoCommerce   • Reviews: Judge.me • Affiliate program: Superfiliate • Customer service: Gorgias • Landing pages: Replo • Subscriptions: Stay AI • Pixels: Blotout • Analytics: Triple Whale • Email and SMS: Klaviyo Why these specific tools? Working with 30+ ecommerce brands over the years gave us something invaluable: pattern recognition. We've seen what actually works at scale, not just what looks good in demos. These aren't the flashiest choices. They're the reliable ones. The lesson that saved me weeks of analysis paralysis: Real-world validation beats feature lists every time. When you've watched a tool handle Black Friday traffic for 20 different brands without breaking, that data point matters more than any comparison chart. Here's the framework we used: 1. Longevity test - Do brands still love it after 12 months? 2. Scale test - Does it work for $100K/month AND $10M/month brands? 3. Support test - Can you actually reach a human when things break? 4. Integration test - Does it play nice with the rest of your stack? 5. ROI test - Does it save more time/money than it costs? This framework eliminated 90% of the noise and gave us confidence in our decisions. But here's what I know for sure: The e-commerce tech landscape evolves fast. There are incredible solutions emerging that we haven't discovered yet. New tools are solving problems we didn't even know we had. Staying curious and open to better solutions is how we keep making e-commerce better every day. So I'm asking the community: What tools should be on our radar for 2026? What's working exceptionally well for you that we might be missing? Especially interested in: • Attribution and analytics beyond Triple Whale • Customer retention tools • AI-powered personalization • Post-purchase experience optimization Drop your recommendations below- let's learn from each other's real-world experience. #EcommerceTech #TechStack #FounderLessons #Ecommerce
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Rahul Mulani

Founder & CEO at Tameta Tech | Helping eCommerce founders turn their vision into scalable, tech-powered brands | SaaS & automation for modern businesses.

linkedin logo
How We Finally Chose Our 2026 Tech Stack (After Way Too Much Research) I'll be honest- I spent weeks going down rabbit holes. Every founder knows this feeling: you're comparing feature matrices at 2 AM, reading contradictory reviews, and wondering if you're about to lock yourself into the wrong ecosystem for the next two years. Stop optimizing for "best on paper." Start optimizing for "proven in practice." Here's what we're running at Tameta Tech in 2026: • Storefront: Shopify • Post purchase surveys: KnoCommerce   • Reviews: Judge.me • Affiliate program: Superfiliate • Customer service: Gorgias • Landing pages: Replo • Subscriptions: Stay AI • Pixels: Blotout • Analytics: Triple Whale • Email and SMS: Klaviyo Why these specific tools? Working with 30+ ecommerce brands over the years gave us something invaluable: pattern recognition. We've seen what actually works at scale, not just what looks good in demos. These aren't the flashiest choices. They're the reliable ones. The lesson that saved me weeks of analysis paralysis: Real-world validation beats feature lists every time. When you've watched a tool handle Black Friday traffic for 20 different brands without breaking, that data point matters more than any comparison chart. Here's the framework we used: 1. Longevity test - Do brands still love it after 12 months? 2. Scale test - Does it work for $100K/month AND $10M/month brands? 3. Support test - Can you actually reach a human when things break? 4. Integration test - Does it play nice with the rest of your stack? 5. ROI test - Does it save more time/money than it costs? This framework eliminated 90% of the noise and gave us confidence in our decisions. But here's what I know for sure: The e-commerce tech landscape evolves fast. There are incredible solutions emerging that we haven't discovered yet. New tools are solving problems we didn't even know we had. Staying curious and open to better solutions is how we keep making e-commerce better every day. So I'm asking the community: What tools should be on our radar for 2026? What's working exceptionally well for you that we might be missing? Especially interested in: • Attribution and analytics beyond Triple Whale • Customer retention tools • AI-powered personalization • Post-purchase experience optimization Drop your recommendations below- let's learn from each other's real-world experience. #EcommerceTech #TechStack #FounderLessons #Ecommerce
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Eli Bar-Din

DTC brands call me when Meta ads stop working | $75M+ in ad spend | Director of Paid Social @ Avenue Z

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Most brands don’t have a CAC problem. They have a tracking problem. We’re still seeing it in 2025: → Meta optimized for Purchase, not New Purchase → Reporting looks great. ROAS is solid. → But your CAC is secretly tanked by returning customers who would've bought anyway. This one switch alone can change your whole P&L: ✅ Optimize for New Purchase (With Blotout) ✅ Filter returning customers out of key CAC metrics ✅ Build real prospecting performance Here’s what we’re seeing in some accounts: - 2.7x ROAS (Purchase) drops to 1.7x when filtering only new customers - Cost per purchase looks $15 cheaper than it really is - Blended CAC rises, no one knows why The fix is simple: → Track New Purchase in Events Manager → Build CAC/ROAS benchmarks from that → Let returning customers be a bonus, not a crutch It’s the first thing we implement when onboarding a new brand. Because you can’t scale what you can’t see clearly.
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Eli Bar-Din

DTC brands call me when Meta ads stop working | $75M+ in ad spend | Director of Paid Social @ Avenue Z

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Most brands don’t have a CAC problem. They have a tracking problem. We’re still seeing it in 2025: → Meta optimized for Purchase, not New Purchase → Reporting looks great. ROAS is solid. → But your CAC is secretly tanked by returning customers who would've bought anyway. This one switch alone can change your whole P&L: ✅ Optimize for New Purchase (With Blotout) ✅ Filter returning customers out of key CAC metrics ✅ Build real prospecting performance Here’s what we’re seeing in some accounts: - 2.7x ROAS (Purchase) drops to 1.7x when filtering only new customers - Cost per purchase looks $15 cheaper than it really is - Blended CAC rises, no one knows why The fix is simple: → Track New Purchase in Events Manager → Build CAC/ROAS benchmarks from that → Let returning customers be a bonus, not a crutch It’s the first thing we implement when onboarding a new brand. Because you can’t scale what you can’t see clearly.
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Max Langlois

Founder & CEO at HYPE10

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The exact DTC tech stack we’re using to grow our in-house brand in 2026: - Storefront: Shopify - Post purchase surveys: KnoCommerce - Reviews: Judge.me - Affiliate program: Superfiliate - Customer service: Gorgias - Landing pages: Replo - Subscriptions: Stay AI - Pixels: Blotout - Analytics: Triple Whale - Email and SMS: Klaviyo Working with 80+ incredible brands in the last few years at HYPE10 has let us familiarize ourselves with solutions we’re confident in using. But, I’m sure there’s awesome tech out there we should be thinking about. So, if there's something you think should be on our radar for next year, don't hesitate to drop it in the comments.
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Max Langlois

Founder & CEO at HYPE10

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The exact DTC tech stack we’re using to grow our in-house brand in 2026: - Storefront: Shopify - Post purchase surveys: KnoCommerce - Reviews: Judge.me - Affiliate program: Superfiliate - Customer service: Gorgias - Landing pages: Replo - Subscriptions: Stay AI - Pixels: Blotout - Analytics: Triple Whale - Email and SMS: Klaviyo Working with 80+ incredible brands in the last few years at HYPE10 has let us familiarize ourselves with solutions we’re confident in using. But, I’m sure there’s awesome tech out there we should be thinking about. So, if there's something you think should be on our radar for next year, don't hesitate to drop it in the comments.
ZB

Zach Jacob - CMO Thursday Boots

At the recommendation of the Meta Disruptors team, we started working with Blotout and it quickly became one of the most impactful technology partners in our marketing stack. Mandar and his team have been great — not just in what the platform does, but in how far they’re willing to go to help. Implementing custom event pixels to Meta, like our New Customer event and category-specific purchase events, fundamentally changed our marketing strategies and reporting, and it has significantly improved performance. And whenever we’ve needed something custom, including configurations that helped us qualify for and participate in Meta betas, the Blotout team has shown up fast and gone out of their way to support Thursday Boots.
ZB

Zach Jacob - CMO Thursday Boots

At the recommendation of the Meta Disruptors team, we started working with Blotout and it quickly became one of the most impactful technology partners in our marketing stack. Mandar and his team have been great — not just in what the platform does, but in how far they’re willing to go to help. Implementing custom event pixels to Meta, like our New Customer event and category-specific purchase events, fundamentally changed our marketing strategies and reporting, and it has significantly improved performance. And whenever we’ve needed something custom, including configurations that helped us qualify for and participate in Meta betas, the Blotout team has shown up fast and gone out of their way to support Thursday Boots.
Hovhannes Mkhitaryan

Hovhannes Mkhitaryan

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Love working with you guys, always in the fields learning things
Hovhannes Mkhitaryan

Hovhannes Mkhitaryan

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Love working with you guys, always in the fields learning things
Zeb Pirkey

Zeb Pirkey

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Blotout team is great to work with too. Really good dev support.
Zeb Pirkey

Zeb Pirkey

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Blotout team is great to work with too. Really good dev support.
Alexis

Alexis

Blotout turned our data chaos into clarity and control

Before Blotout, we struggled with high CPMs, inflated CPAs, and skewed platform spend. What truly stood out was Blotout’s ability to optimize based on accurate first-party data, enabling us to be proactive rather than reactive when allocating Meta budgets.

Their support and care have been unlike anything we’ve experienced. The team’s depth of knowledge, attention to detail, and follow-through are unmatched. Instead of taking a one-size-fits-all approach, Blotout genuinely tailors strategies until everything runs smoothly and results align with our goals.

 — Alexis from Meche Wellness

Alexis

Alexis

Blotout turned our data chaos into clarity and control

Before Blotout, we struggled with high CPMs, inflated CPAs, and skewed platform spend. What truly stood out was Blotout’s ability to optimize based on accurate first-party data, enabling us to be proactive rather than reactive when allocating Meta budgets.

Their support and care have been unlike anything we’ve experienced. The team’s depth of knowledge, attention to detail, and follow-through are unmatched. Instead of taking a one-size-fits-all approach, Blotout genuinely tailors strategies until everything runs smoothly and results align with our goals.

 — Alexis from Meche Wellness

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Alex Sanivsky

Best Team, Best Practices, Hard Work | Grow Your Google Ads @ GrowMyAds

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You can't grow what you can't measure. And right now, you have no idea how many new customers you're actually acquiring. Every e-commerce brand says they want to grow. But when we ask: "How many NEW customers did you acquire last month?" Silence.. They know: • Total revenue • Total orders • ROAS • MER • CAC But they don't know the only number that actually predicts growth: How many NEW customers you're acquiring and what you're paying to acquire them. Here's why this matters: John Moran ran a $40K/day test using Google's "new customer only" setting (link in comments). Google reported: 100% new customers Reality: 68% were returning customers Google can't tell the difference. And if Google can't, you can't either. Which means you're making decisions based on fiction: → Scaling campaigns that aren't actually acquiring new customers → Optimizing for metrics that don't drive growth → Hitting your "targets" while revenue stays flat To grow, you need two numbers: 1. How many NEW customers did we acquire? 2. What did we pay to acquire them? (nCAC) Without these, you're guessing. With them, you can actually scale. So how do you actually track this? The problem: Google can't see your order history. It only sees browser activity. So it calls returning customers "new" all the time. You need: 1. Backend attribution (like Wicked Reports / Scott Desgrosseilliers) that matches conversions to your actual customer records - showing who's truly new vs. returning. 2. Server-side tracking (like Blotout) that captures ALL conversions - bypassing ad blockers and iOS restrictions that hide 30-40% of purchases. Together: You finally know which campaigns acquire real new customers, and what you're paying for them. Want help fixing this in your account? Drop a comment or DM me.
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Alex Sanivsky

Best Team, Best Practices, Hard Work | Grow Your Google Ads @ GrowMyAds

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You can't grow what you can't measure. And right now, you have no idea how many new customers you're actually acquiring. Every e-commerce brand says they want to grow. But when we ask: "How many NEW customers did you acquire last month?" Silence.. They know: • Total revenue • Total orders • ROAS • MER • CAC But they don't know the only number that actually predicts growth: How many NEW customers you're acquiring and what you're paying to acquire them. Here's why this matters: John Moran ran a $40K/day test using Google's "new customer only" setting (link in comments). Google reported: 100% new customers Reality: 68% were returning customers Google can't tell the difference. And if Google can't, you can't either. Which means you're making decisions based on fiction: → Scaling campaigns that aren't actually acquiring new customers → Optimizing for metrics that don't drive growth → Hitting your "targets" while revenue stays flat To grow, you need two numbers: 1. How many NEW customers did we acquire? 2. What did we pay to acquire them? (nCAC) Without these, you're guessing. With them, you can actually scale. So how do you actually track this? The problem: Google can't see your order history. It only sees browser activity. So it calls returning customers "new" all the time. You need: 1. Backend attribution (like Wicked Reports / Scott Desgrosseilliers) that matches conversions to your actual customer records - showing who's truly new vs. returning. 2. Server-side tracking (like Blotout) that captures ALL conversions - bypassing ad blockers and iOS restrictions that hide 30-40% of purchases. Together: You finally know which campaigns acquire real new customers, and what you're paying for them. Want help fixing this in your account? Drop a comment or DM me.
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Kohl Henry

Kohl Henry

“The NC Conversion event has been a total game-changer.”

 Like most advertisers, we were dealing with major signal loss and attribution gaps after iOS changes. We wanted to make sure the data we were sending back to Meta was as accurate and high-quality as possible. I came across Blotout on Twitter and decided to book a call. Within minutes, it was clear this wasn’t another sales pitch — their team genuinely geeks out over their tech. The transparency and technical depth stood out immediately. Since implementing Blotout and optimizing around the NC Purchase event, our new customer ROAS has increased by roughly 10%, with far more consistent performance across campaigns. Favorite feature: NC Conversion event — it’s outperformed the standard Purchase event every single time.

Kohl Henry

Kohl Henry

“The NC Conversion event has been a total game-changer.”

 Like most advertisers, we were dealing with major signal loss and attribution gaps after iOS changes. We wanted to make sure the data we were sending back to Meta was as accurate and high-quality as possible. I came across Blotout on Twitter and decided to book a call. Within minutes, it was clear this wasn’t another sales pitch — their team genuinely geeks out over their tech. The transparency and technical depth stood out immediately. Since implementing Blotout and optimizing around the NC Purchase event, our new customer ROAS has increased by roughly 10%, with far more consistent performance across campaigns. Favorite feature: NC Conversion event — it’s outperformed the standard Purchase event every single time.

Ankit Patel

Ankit Patel

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You do gods work Mandar Shinde Blotout
Ankit Patel

Ankit Patel

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You do gods work Mandar Shinde Blotout
Eli Esagoff

Eli Esagoff

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Best in the game! Excited for the story we get when you hit 10k ;)
Eli Esagoff

Eli Esagoff

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Best in the game! Excited for the story we get when you hit 10k ;)
Ben Diamond (Yahalom)
Ben Diamond (Yahalom)
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We love Blotout (and you Mandar Shinde!) 🙏🏻💜 

Ben Diamond (Yahalom)
Ben Diamond (Yahalom)
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We love Blotout (and you Mandar Shinde!) 🙏🏻💜 

Andrew Clay
Andrew Clay

Founder of Clay Entertainment & CE Digital

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You’ve helped solve a number of problems for us and our friends. Grateful for you Mandar Shinde and the Blotout team.
Andrew Clay
Andrew Clay

Founder of Clay Entertainment & CE Digital

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You’ve helped solve a number of problems for us and our friends. Grateful for you Mandar Shinde and the Blotout team.
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Jake Casto

Founder @ Layers, a Search & Merchandising Platform for Shopify Plus | Co-Founder @ Proton, a ghost agency for Ecommerce Brands

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Back in February I (again) reported on Bot Traffic in Shopify Analytics. Traffic surged across multiple storefronts all originating in Ashburn VA and Boardman OR. Did you know both of these cities have a low population and host massive data centers? Thankfully back in February many of our merchants used Cloudflare O2O via EDGEMESH allowing us to set up additional firewall rules and see the real bot traffic. Again over the past week I’ve observed bot traffic surging across more than a dozen merchants. Half of them had 15% of sessions or more that were bots. The % we could attribute were not from Cloudflare but intense analysis and the traffic originated again in those cities and viewed a single page. Imagine what the real percent of bot sessions are? The malicious scrapers and other bots coming from different regions… I’d confidently say more than 15% of sessions in analytics are illegitimate. When is this being addressed? Who knows, it’s been years unaddressed. Luckily for our merchants this time around they use Blotout which automatically excludes bot traffic from ALL platforms (GA, Meta, Google, etc).
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Jake Casto

Founder @ Layers, a Search & Merchandising Platform for Shopify Plus | Co-Founder @ Proton, a ghost agency for Ecommerce Brands

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Back in February I (again) reported on Bot Traffic in Shopify Analytics. Traffic surged across multiple storefronts all originating in Ashburn VA and Boardman OR. Did you know both of these cities have a low population and host massive data centers? Thankfully back in February many of our merchants used Cloudflare O2O via EDGEMESH allowing us to set up additional firewall rules and see the real bot traffic. Again over the past week I’ve observed bot traffic surging across more than a dozen merchants. Half of them had 15% of sessions or more that were bots. The % we could attribute were not from Cloudflare but intense analysis and the traffic originated again in those cities and viewed a single page. Imagine what the real percent of bot sessions are? The malicious scrapers and other bots coming from different regions… I’d confidently say more than 15% of sessions in analytics are illegitimate. When is this being addressed? Who knows, it’s been years unaddressed. Luckily for our merchants this time around they use Blotout which automatically excludes bot traffic from ALL platforms (GA, Meta, Google, etc).
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Jayesh Easwaramony

Customer Data Platforms and Advertising Sales Leader | Telecom Media and Digital Transformation Expert

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Building customer data infrastructure for analytics has gone from Client-Side ➝ Server-Side ➝ Edge-Side — What’s Really Changing? Started with client-side tracking (pixels, JS snippets everywhere). Then came server-side (Facebook CAPI, GA server-side tagging) Now, it’s moving edge-side. Pros and Cons • Client-side = fragile, slows the site, browser rules change every quarter, IDs mismatch • Server-side = more reliable, but centralized + latency heavy, better tracking and integration with internal systems Great article : lnkd.in/gkbDzdSE • Edge-side = data decisions made closest to the user, nascent tech but growing , leverages client side storage and events together , prevents signal loss to ad blockers and increases retargetability.. Permutive started this in the cookiecalypse phase and players like Blotout have taken it to next level… The real question data and analytics leaders should ask: how should I balance my infra - browser, server, or edge — for signals, quality , resilience, compliance, and growth? Not sure of the answer, but don’t want to leave revenue on the table ? Check with Spectra Global ! lnkd.in/dvub7pj7 #data #analytics #cdp
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Jayesh Easwaramony

Customer Data Platforms and Advertising Sales Leader | Telecom Media and Digital Transformation Expert

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Building customer data infrastructure for analytics has gone from Client-Side ➝ Server-Side ➝ Edge-Side — What’s Really Changing? Started with client-side tracking (pixels, JS snippets everywhere). Then came server-side (Facebook CAPI, GA server-side tagging) Now, it’s moving edge-side. Pros and Cons • Client-side = fragile, slows the site, browser rules change every quarter, IDs mismatch • Server-side = more reliable, but centralized + latency heavy, better tracking and integration with internal systems Great article : lnkd.in/gkbDzdSE • Edge-side = data decisions made closest to the user, nascent tech but growing , leverages client side storage and events together , prevents signal loss to ad blockers and increases retargetability.. Permutive started this in the cookiecalypse phase and players like Blotout have taken it to next level… The real question data and analytics leaders should ask: how should I balance my infra - browser, server, or edge — for signals, quality , resilience, compliance, and growth? Not sure of the answer, but don’t want to leave revenue on the table ? Check with Spectra Global ! lnkd.in/dvub7pj7 #data #analytics #cdp
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Nirish Parsad

Data ops: fixing what the web broke.

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It’s about damn time. For companies like Amplitude, Mixpanel, and Heap | by Contentsquare with serious data ambitions, Blotout’s server-side CDP is the upgrade to dream-stack status. Real-time ID, consent management, server-side tagging, no-code, and built to scale. Already supporting $40B+ in revenue—this is the future of SaaS infrastructure. If you’re in attribution, retention marketing, or a dev agency, connect with Blotout and Mandar Shinde, the hardest working data wrangler I know, and see how this can level up your stack (or DM me and I'll intro you!).
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Nirish Parsad

Data ops: fixing what the web broke.

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It’s about damn time. For companies like Amplitude, Mixpanel, and Heap | by Contentsquare with serious data ambitions, Blotout’s server-side CDP is the upgrade to dream-stack status. Real-time ID, consent management, server-side tagging, no-code, and built to scale. Already supporting $40B+ in revenue—this is the future of SaaS infrastructure. If you’re in attribution, retention marketing, or a dev agency, connect with Blotout and Mandar Shinde, the hardest working data wrangler I know, and see how this can level up your stack (or DM me and I'll intro you!).
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Blotout
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With privacy changes reshaping how D2C e-commerce brands advertise on platforms like Meta & TikTok, the ability to activate real-time first-party data, instantly personalize experiences, and test creative has never been more crucial. We connected with Lauren Lyster, group director of paid social at Wpromote to explore how her team leverages Blotout to deliver personalized ad experiences in milliseconds, while enhancing identity resolution and attribution.
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Blotout
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With privacy changes reshaping how D2C e-commerce brands advertise on platforms like Meta & TikTok, the ability to activate real-time first-party data, instantly personalize experiences, and test creative has never been more crucial. We connected with Lauren Lyster, group director of paid social at Wpromote to explore how her team leverages Blotout to deliver personalized ad experiences in milliseconds, while enhancing identity resolution and attribution.
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Eric Ver Ploeg

Seed Stage Venture Firm — Helping Our Companies Raise Best Possible Series A

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Blotout is forward-integrating to deliver a Vertical AI solution that addresses the whole job-to-be-done rather than just another piece of software that creates more work for the marketer.
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Eric Ver Ploeg

Seed Stage Venture Firm — Helping Our Companies Raise Best Possible Series A

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Blotout is forward-integrating to deliver a Vertical AI solution that addresses the whole job-to-be-done rather than just another piece of software that creates more work for the marketer.

Blotout - How to Integrate Amped with Blotout

Blotout’s Ad Boost Secret: Beat iOS 16 & Bots!