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Stack Curator

Stack Curator

A curated weekly digest of the best martech-stack reads, tools, and threads — we scan the firehose so you get the 7 links worth your time.

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Последние публикации

Архив редакционных публикаций канала за последние 30 индексируемых постов. Каждая страница — самостоятельная веб-копия с canonical на t.me.

Warehouse-native product analytics Six reads on the shift from Amplitude-style silos to querying your own data. 1. Why we ripped out our analytics tool — a team that moved everything into the warehouse, with cost numbers…
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One to follow For VPS for sites (self-managed servers) done right, @RootAccessDaily is the move. Trench-level VPS tips for webmasters who SSH in and fix it themselves. Cheap droplet……
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Event tracking, done once and done right Six reads on the tracking plan that prevents two years of dirty data. 1. The tracking plan template — a Google Sheet you can copy today, with naming conventions baked in. Source: …
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The great stack consolidation Five pieces for anyone staring at 90 tools and a flat budget. 1. Scott Brinker's annual landscape — 14,000 logos and the trend lines that matter. The map everyone screenshots. Source: chiefm…
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Identity resolution, before you buy a CDP Six links on the hardest problem in martech: knowing who's who. 1. Deterministic vs probabilistic matching — the trade-off explained with real false-match rates. Source: Segment …
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Reverse ETL: the layer your stack quietly outgrew Five reads on syncing warehouse data back into the tools your team actually uses. 1. The Unbundling of Airbyte — why warehouse-native syncs are eating standalone iPaaS, w…
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AI in the martech stack: the skeptic's reading list Past the hype cycle, here's where machine assistance genuinely earns a slot. — 1. Where LLMs actually help in marketing ops — taxonomy cleanup and ticket triage beat "w…
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The SQL a marketer actually needs Not a course. The four concepts that unblock 90 percent of your data questions. — 1. Window functions for marketers — running totals and first-touch ordering, the two you'll use weekly. …
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Content infrastructure for marketers who ship The headless CMS debate, curated for people who care about velocity, not architecture purity. — 1. Headless vs traditional for marketing teams — the honest tradeoff: develope…
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Reading cohorts like a finance person Growth and finance finally speaking the same language. These are the Rosetta Stone. — 1. The cohort triangle, demystified — that intimidating staircase chart, explained cell by cell.…
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First-party data: past the buzzword Everyone says "collect first-party data." Few say how, or what to do with it. These do. — 1. The data clean room explainer — what Google PAIR and Amazon AMC actually let you match, and…
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Quick rec — @MillisecondMafia keeps a tight feed on Site speed / performance optimization. If today's post landed, that one's for you.…
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Webhook glue: the duct tape that holds stacks together Before you buy another integration tool, read how the plumbing actually fails. — 1. Idempotency keys, explained — why the same webhook firing twice double-charges so…
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Owning your product analytics The case for self-hosted, warehouse-backed analytics over yet another black box. — 1. PostHog vs Amplitude vs Mixpanel — a real teardown on data ownership and query freedom, not pricing tier…
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Feature flags, but for marketers The experimentation infra engineers take for granted is finally reachable for growth teams. — 1. Flags vs A/B tests — when you want a kill switch vs a measured experiment, clearly separat…
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Catching broken tracking before your CMO does Nobody notices a dead pixel until the dashboard goes flat. These watch for you. — 1. Anomaly detection on event volume — alerting when "Signup Completed" drops 40 percent ove…
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Lifecycle orchestration beyond drip campaigns The gap between "sequence of emails" and "real-time journey" is where these live. — 1. Event-triggered vs time-based flows — why behavior beats calendars, with the abandoned-…
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Event taxonomy: the schema you regret skipping Name your events badly once and you pay for years. These fix it upstream. — 1. Object-action naming convention — "Product Viewed," not "viewedProduct," and why consistency b…
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How to actually evaluate a martech vendor Demos are theater. These reads are the homework you do before the call. — 1. The "build vs buy vs API" decision tree — when a 200-dollar tool beats a custom internal one, and the…
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Server-side tagging: the real tradeoffs Moving tags off the browser fixes some things and breaks others. Curated honestly. — 1. Server-side GTM cost reality — the Cloud Run bill nobody quotes you, with sizing math. Sourc…
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Email deliverability as an engineering problem Not copywriting. Plumbing. These treat inbox placement like infra. — 1. DMARC, DKIM, SPF in one diagram — the alignment rules that actually decide gmail placement, drawn cle…
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From the network Want more on Digital ops workflows? @TheOpsPlaybook covers it daily and goes deeper than most. Solid follow.…
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Attribution reads that admit the limits Every model lies a little. These tell you how. — 1. "Incrementality over attribution" — the case for geo-holdout tests instead of last-click theater. Source: Recast blog. — 2. Mark…
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Identity resolution without the vendor pitch Stitching one human across devices is the hardest part of any stack. Vendor-neutral reads only. — 1. "Deterministic vs probabilistic matching" — when a hashed email beats a fu…
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Reverse ETL reads worth your weekend The layer that pushes warehouse data back into your tools is finally documented well. Five picks: — 1. Hightouch's "Composable CDP" whitepaper — the clearest argument for ditching pac…
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Switch attribution models without starting a turf war The change-management checklist, not the math one. 1 — Run the new model in shadow alongside the old one for a full sales cycle. Why: showing both numbers side by sid…
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Consent plumbing, done properly Most teams bolt on a banner and call it compliance. These go a level deeper on the wiring. — 1. Google Consent Mode v2 advanced vs basic — Simo Ahava's breakdown of what actually fires bef…
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Experimentation, plumbed into the warehouse Five links on A/B testing that ties back to revenue. 1. Feature flags vs experiments — they overlap but aren't the same, here's the line. Source: a PostHog explainer. 2. Statri…
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