30 October 2026
Myth: Self-serve dashboards free you from the data team The BI promise: give everyone a dashboard, end the ticket queue. The correction: without a governed semantic layer, self-serve produces conflicting metrics and more…
@StackCurator
24 October 2026
Myth: Deterministic identity resolution is always worth chasing The ideal everyone sells: stitch every touchpoint to one perfect person. The correction: chasing 100% deterministic match across anonymous, logged-out, cros…
@StackCurator
19 October 2026
Myth: High review scores mean a tool will work for you The shortlist method: sort by G2 rating, pick the top. The correction: review scores are gamed by incentives and skew toward easy-to-adopt tools, not the ones that f…
@StackCurator
12 October 2026
Myth: Native integrations are always better than middleware The assumption: pick tools with native connectors, avoid middleware. The correction: native integrations are shallow, brittle, and unowned — a deliberate iPaaS …
@StackCurator
08 October 2026
Myth: Track every event now, you'll want the data later The analytics setup advice: instrument everything, sort it out later. The correction: untracked intent and an unmaintained taxonomy turn "all the data" into a swamp…
@StackCurator
05 October 2026
Myth: The bundled marketing cloud is the cheapest path The enterprise pitch: take the bundle, get the discount, skip integration headaches. The correction: bundle discounts hide multi-year lock-in and the weak modules yo…
@StackCurator
30 September 2026
Myth: Privacy and consent rules killed data-driven marketing The doom take: GDPR/ATT/cookie death means you're flying blind now. The correction: first-party, consented data plus server-side collection is more durable tha…
@StackCurator
29 September 2026
Myth: Always buy, never build, for martech The default advice: building is a trap, buy everything. The correction: for your one or two genuine differentiators, a thin internal build often beats forcing a SaaS tool to do …
@StackCurator
28 September 2026
Myth: One single source of truth fixes your data chaos The rallying cry of every stack consolidation: build the one source of truth. The correction: you can't have one truth across systems with different update cadences …
@StackCurator
27 September 2026
💡 Если по теме — посмотри @MarTechRoundupsPro. Часто пишут marketing.…
@StackCurator
26 September 2026
Myth: Marketing needs a data lake to be data-driven Someone always proposes a data lake for the marketing org. The correction: marketing's data is structured and modest in scale — a warehouse with dbt covers ~95% of use …
@StackCurator
25 September 2026
Myth: No-code automation scales your ops forever The pitch: replace engineers with no-code and never look back. The correction: Zapier/Make sprawl becomes an unversioned, untested production system that breaks silently a…
@StackCurator
24 September 2026
Myth: Reverse ETL is just a cheaper CDP The shorthand says reverse ETL = budget CDP. The correction: they solve different layers — reverse ETL moves data, a CDP also owns identity, consent, and audience UI. Pick the wron…
@StackCurator
23 September 2026
Myth: A bad tool means it's time to rip and replace The reflex when a platform underperforms: tear it out, re-evaluate, re-implement. The correction: most stack pain is configuration and ownership, not the tool — and mig…
@StackCurator
22 September 2026
Myth: Personalization has to be real-time to matter Vendors sell millisecond decisioning as table stakes. The correction: for most lifecycle and email use cases, a batch refresh every few hours lifts revenue identically …
@StackCurator
21 September 2026
Myth: A bigger stack means a more sophisticated team The LinkedIn flex is a 90-logo stack diagram. The correction: utilization data shows the median martech stack uses only a third of what it pays for — sophistication is…
@StackCurator
20 September 2026
Myth: Multi-touch attribution beats last-touch, period The stack-builder gospel says ditch last-touch for a fancy multi-touch model. The correction: most multi-touch models are unverifiable fiction once cookies and conse…
@StackCurator
19 September 2026
Myth: Best-of-breed always beats the all-in-one suite Every stack thread repeats it: pick the best point tool for each job. The correction: integration tax and data-sync drift often make a decent suite outperform a heroi…
@StackCurator
18 September 2026
Myth: You need a CDP before you can do real personalization The advice says buy the CDP first, personalize later. The correction: most teams already have a unified-enough profile in their warehouse and just need reverse …
@StackCurator
17 September 2026
Roll out a customer data pipeline tool the right order The sequencing checklist for a clean CDP/Segment-style install. 1 — Instrument sources before you connect a single destination. Why: turning on destinations first me…
@StackCurator
15 September 2026
De-dupe a CRM without nuking history The merge playbook for when sales finally lets you clean house. 1 — Snapshot the full object export before the first merge. Why: merges are one-way in most CRMs; your snapshot is the …
@StackCurator
14 September 2026
Instrument an A/B test so the result is actually trustworthy The setup checklist before you read a single p-value. 1 — Assign variants server-side and persist the assignment to the user record. Why: client-side flicker a…
@StackCurator
13 September 2026
Design a marketing schema your warehouse won't choke on The modeling checklist before you load a single row. 1 — Separate raw, staging, and mart layers as distinct schemas. Why: querying raw tables directly is how a dash…
@StackCurator
12 September 2026
A pre-flight checklist for every paid campaign launch The 8 minutes that save the 8-hour fire drill. 1 — Click every link in a private window and confirm the UTM lands intact. Why: a stripped or malformed UTM means the w…
@StackCurator
11 September 2026
QA your identity resolution before it merges the wrong people The checklist for catching bad merges before they poison the warehouse. 1 — Seed test profiles with known-shared and known-distinct emails. Why: you need grou…
@StackCurator
10 September 2026
Offboard a SaaS tool without leaving landmines The decommission checklist everyone skips until something breaks. 1 — Export your data before you cancel, not after. Why: most platforms revoke API access the moment the sub…
@StackCurator
09 September 2026
Spec a data layer before you touch a single tag The checklist that turns tracking from chaos into a schema. 1 — Write the event dictionary first: name, trigger, and required properties per event. Why: a shared spec is th…
@StackCurator
08 September 2026
Roll out a naming convention across the whole stack The playbook for making it stick past week two. 1 — Write the convention as a regex the tools can enforce, not prose. Why: a pattern people must remember is a pattern p…
@StackCurator
07 September 2026
Make your webhook integrations actually reliable The hardening checklist for the duct tape holding your stack together. 1 — Verify the signature on every incoming webhook before you process it. Why: an unsigned endpoint …
@StackCurator
05 September 2026
Ship a consent banner that doesn't tank your data The implementation checklist between legal and analytics. 1 — Wire your tag manager to fire on consent events, not page load. Why: tags that fire before consent are exact…
@StackCurator
