Poll: which analytics tools matter?

Media buyer Maz Sohan ran a poll asking whether in-platform tools (Meta Ads Manager), Shopify, GA4, third‑party platforms, gut, or modelling (MMM/MTA) are the primary decision tools for buyers. The poll highlights the variety of analytics stacks practitioners choose when evaluating campaigns. (x.com)

A poll from media buyer Maz Sohan asked marketers which tool actually drives campaign decisions, and the answers split across platform dashboards, store data, analytics suites, outside tools, instinct and modeling. (x.com) Sohan’s answer choices named Meta Ads Manager, Shopify, Google Analytics 4, third-party platforms, “gut,” and modeling methods including marketing mix modeling and multi-touch attribution. The post framed the question around buyers’ “primary” decision tool, not every tool in the stack. (x.com) Those options map to different ways of counting the same sale. Meta Ads Manager attributes website actions to ad interactions inside Meta’s reporting windows, while Google Analytics 4 lets administrators choose among attribution models for key-event reports. (facebook.com) (support.google.com) Shopify starts from confirmed store activity such as sales, orders and visitors, and its help center says merchants can also connect outside analytics services for additional insight. That makes Shopify a system of record for transactions, but not a full replacement for ad-platform reporting or traffic analysis. (help.shopify.com 1) (help.shopify.com 2) The split in Sohan’s poll reflects a long-running measurement problem in digital advertising: different tools use different rules, time windows and identifiers, so the totals rarely line up exactly. Google’s documentation says attribution models in Google Analytics 4 assign credit differently across ads and touchpoints before a conversion happens. (support.google.com 1) (support.google.com 2) Modeling sits furthest from day-to-day dashboard reading. Meta’s open-source Robyn project describes marketing mix modeling as a way to estimate channel impact and budget allocation with statistical methods, rather than relying only on user-level click paths. (github.com) (facebookexperimental.github.io) That helps explain why “gut” showed up next to software in the poll. Buyers often have to choose budgets before every platform agrees on what happened, especially when store data, web analytics and ad-platform numbers disagree. (help.shopify.com) (support.google.com) (facebook.com) The thread landed in a market where merchants are still stitching together Meta signals, Google Analytics 4 setups and Shopify reporting. Shopify’s help pages say report access varies by subscription plan, and Google Analytics 4’s attribution settings can be changed by administrators or editors, which means two teams can look at different versions of “performance” if governance is loose. (help.shopify.com) (support.google.com) Sohan’s poll did not settle which tool is “right.” It showed that in 2026, many buyers still treat measurement as a stack of competing lenses rather than a single source of truth. (x.com)

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