
What should your brand measure before building another dashboard?
October 13, 2026 · 6 min read
Dahna builds the tracking, shared definitions and reports your team needs to decide where the next dollar goes, and says plainly what the data cannot show.

Your store, campaign platforms and cost records answer different questions. Reconcile their definitions before deciding what to change.
Paid orders, refunds, new customers and repeat purchases.
Spend, delivery and platform-attributed actions.
Product, payment, fulfillment and other agreed costs.
A recommendation, the evidence behind it, an owner and the next review.
Analytics and pixel audit, event design, consent-aware setup, and the fixes that make downstream numbers mean something.
Agreed definitions, a small set of decision-focused dashboards, and bilingual reporting where a Korean headquarters needs it.
Cross-channel reads that weigh platform claims against blended contribution and incrementality signals where available.
Repeat rate, time to second purchase, and cohort value views that connect acquisition quality to long-term revenue.
Both work in Korean and English.
Read our storyEach phase closes with a decision record.
See how a project worksDemonstrations, not client results.
See sample deliverablesDepending on the agreed scope:
A measurement baseline in week 1
A small set of dashboards scoped to the decisions you make every week
A weekly review against your sales data that ends in a decision to repeat, revise or stop
Measurement starts in week 1, when discovery sets a shared baseline, and runs through every later phase, each closing with a decision record.
These are planning windows rather than guarantees. Product readiness, approvals, inventory, access and budget may change the sequence or pace.
Locate the constraint across acquisition, conversion and repeat purchase. Reconcile costs and revenue, identify what the data can support, and prioritize the next test. The result is a decision and an owner, not only a dashboard.
Share the decisions you need to make, current reports and access to the relevant store and marketing data. Agree definitions for orders, revenue, new customers and costs, and identify the owner of each source.
Tracking and pixel foundations, shared metric definitions, decision-focused dashboards, cross-channel attribution read honestly, and cohort analysis connecting acquisition to repeat purchase. The deliverable is measurement a team actually trusts enough to allocate budget with.
Different attribution windows, models, and deduplication rules: each platform counts generously toward itself, and store analytics counts differently again. The discrepancy is normal; the fix is agreed definitions and a blended view that treats platform numbers as evidence rather than verdicts.
The brand's existing stack where possible: GA4 and store analytics, platform ad managers, email and SMS platforms, and spreadsheet or BI layers on top. New tooling is recommended only when a genuine gap blocks a decision the team needs to make.
Partially and honestly. Codes, links, affiliate tracking, spike analysis, and cohort timing give real signal, but creator-driven discovery resists precise attribution. Dahna reports what is measurable, labels what is directional, and never dresses estimates up as facts.

October 13, 2026 · 6 min read

October 13, 2026 · 6 min read

October 13, 2026 · 6 min read
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