Overlapping reporting windows
An order may fall inside more than one platform window. Click and view conventions can assign credit differently, so platform totals should not simply be added together.
Marketing Attribution
We audit conversion tracking, reconcile campaign reports with order or CRM records and select a measurement approach suited to your buying cycle. Overlapping windows, duplicate events and different revenue definitions can explain why reports disagree. We make those differences visible before recommending budget changes.
What Is Marketing Attribution
Marketing attribution assigns credit for an outcome among observed interactions using a defined convention. It can help compare activity within the limits of your data. It does not prove which campaign caused a sale, and no model can reconstruct every customer journey.
The Full Journey
Attribution estimates credit from observable interactions. Incrementality experiments use an appropriate control to investigate what changed because of marketing. Marketing mix modeling uses aggregate data and assumptions to estimate relationships across spend and outcomes. The choice depends on your question, data history, volume and ability to run a credible test.
Consent choices, device changes, offline conversations and incomplete records leave gaps. We document coverage, avoid unnecessary personal data and assess permitted use with your data owners.
Common Problems We Find
An order may fall inside more than one platform window. Click and view conventions can assign credit differently, so platform totals should not simply be added together.
Browser tags, server events or repeated form actions can count the same outcome more than once when deduplication is missing.
Reports can disagree because of refunds, currency, tax, time zones or the distinction between booked orders and collected revenue.
Consent choices, device changes and incomplete campaign tagging leave some traffic unassigned. Those gaps cannot always be recovered.
An enquiry may be recorded in analytics without its subsequent acceptance, opportunity status or outcome being available for reporting.
Teams may move budget using incompatible campaign measures without agreeing on a commercial definition or acknowledging uncertainty.
What We Improve
We inventory accounts, events, tags and consent handling, then test key conversion paths and document missing or duplicate signals.
We agree on order or CRM definitions and explain differences between operational records, analytics and platform reports.
We compare credit assignment approaches against your buying cycle and available data. A simple documented model can be more useful than unsupported precision.
We validate events and reconciliation, assess sensitivity to windows and model choices, and scope controlled experiments where data and design permit.
We review cohort outcomes, exceptions and tracking changes with your team, keeping budget recommendations separate from assumptions that still need testing.
Deliverables
An event and account map, tested conversion paths, duplicate or missing signal findings and a prioritized correction list.
Agreed lead, opportunity, order and revenue definitions, reporting windows, exclusions and operational data owners.
A comparison of source totals with documented discrepancies, refunds and data coverage, rather than a forced total that hides exceptions.
A documented credit assignment method with required inputs, alternatives, sensitivity checks and limitations.
Acceptance checks for tracking changes and proposed experiments, including feasibility, dependencies and observation requirements.
Reporting views, ownership and a review cadence, with budget options and uncertainty explained for the team maintaining the setup.
Who This Is For
This work suits teams making budget decisions across channels whose reporting definitions or tracking need reconciliation. We need appropriate account access, campaign history, order or CRM records and agreed consent requirements, with an internal owner to resolve differences. Sparse history, missing permissions or inconsistent sales records may limit the models and tests that are feasible.
Pairs Well With
Attribution focuses on credit assignment and reconciliation. Analytics consulting can address wider measurement design, while reporting services support recurring decision views. A marketing audit reviews broader operational gaps; performance marketing and CRM automation implement campaign and customer workflow changes.
FAQ
The work covers tracking audits, reconciliation to order or CRM records, model selection, validation and ongoing review. We agree the scope around your budget decisions, reporting needs and available data.
They assign credit to the first observed interaction, the last observed interaction or several observed interactions. Each is a convention applied to available data. We select the approach based on your buying cycle and reporting needs.
Overlapping click and view windows, different attribution conventions, duplicate events, refunds and time zones can explain differences. We investigate these before comparing campaign reports with the agreed operational source.
Attribution assigns credit among observed interactions. Incrementality tests compare outcomes with an appropriate control to investigate causal effects. Marketing mix modeling estimates relationships using aggregate data and assumptions. These methods answer related but different questions.
Server tracking can improve event delivery and deduplication, but some interactions remain unobserved. We review event coverage and consent requirements with your data owners before recommending changes.
We need appropriate account access, conversion definitions, campaign history, order or CRM exports, consent requirements and a business owner for reconciliation. We avoid unnecessary personal data and assess feasibility before recommending additional tools.
Timing depends on access, tracking defects, integration requirements and approvals. We agree implementation milestones after the audit.
Yes, where enquiry and CRM records can be reconciled using permitted identifiers and shared definitions. Reporting can distinguish enquiries, accepted opportunities and closed deals while documenting missing offline interactions and inconsistent records.
Send us your channels and your current reporting, and we will show you where the numbers stop adding up.