Sources Reconciled
Platform figures and site analytics compared, with the gap explained.
Social Media Analytics
Social Media Analytics That Says What Cannot Be Attributed
Every social platform reports numbers that flatter it, and site analytics reports numbers that undercount it. Social media analytics is the work of establishing what each measure actually represents, what can honestly be attributed to the channel, and being explicit about the influence that is real but not measurable.
We State the Limits of the Data
An analytics setup that implies more certainty than exists produces confident wrong decisions.
Vanity Metrics Named
Impressions and reach are exposure, not outcome.
Attribution Limits Stated
Dark social and delayed influence are real and mostly invisible.
Baselines Established
Because a number without a comparison means nothing.
No Invented Benchmarks
We will not quote industry averages we cannot source.
Social Analytics, Explained
Why Do the Numbers Disagree?
Four reasons, and none of them is that one source is lying.
Discuss Your Measurement →- 1
Different Definitions
A "view" means different things on different platforms.
- 2
Different Attribution
Platforms count view-through; site analytics counts last click.
- 3
Dark Social
Content shared privately arrives as direct traffic.
- 4
Delayed Effect
Someone influenced in March enquires in June, through search.
What Social Analytics Covers
Setup, reconciliation and an honest account of what is knowable.
For a review of the channel as it stands, see social media audit.
How We Approach Social Analytics
Define the terms, reconcile the sources, then say what is knowable.
Define the Metrics
What each number counts, precisely.
Fix the Tracking
So the data is at least internally consistent.
Reconcile Sources
And explain the gap rather than hiding it.
Set Baselines
From your own history.
State the Limits
What social influences that cannot be attributed.
Attribution
Why Dark Social Makes the Channel Look Smaller
A large share of sharing happens where no analytics can see it.
What is dark social?
Content shared through private messages, group chats and email rather than public reposting. The recipient clicks a link with no referrer information attached.
Site analytics records that as direct traffic — indistinguishable from someone typing the address — so the social origin disappears entirely.
For content that people forward privately rather than share publicly, which is a great deal of it, this systematically understates the channel.
What can be done about the gap?
Not eliminate it. Campaign parameters on links you control help, and account for a minority of the sharing that actually happens.
Where volume allows, incrementality testing is the honest method: pause activity in a comparable segment and observe what changes. It measures effect rather than attribution.
Where volume does not allow it, the correct answer is to state the limitation rather than to present the measurable fraction as though it were the whole.
It Arrived as Direct Traffic
Someone sees a post, finds it useful, and forwards it to a colleague in a private message. The colleague clicks, reads, and later becomes a customer.
The click carried no referrer, so analytics recorded it as direct — the same category as someone typing the address from memory. Social shows nothing.
This is not an edge case. Private forwarding is how a great deal of content actually travels, and the channel that produced it is invisible in every report by construction.
Free Measurement Review
Find Out What Your Data Actually Says
Give us access to your platform and site analytics. We will reconcile them and tell you what can honestly be attributed.
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Social media analytics establishes what social activity produced — reconciling platform and site data, defining what each metric counts, and stating what genuinely cannot be attributed.