01
Keep
Repeat the supported pattern without copying the surface.
Turn performance into the next content decision.
Emelyn compares posts that were trying to do the same job, keeps the original hypothesis beside the result, and produces a clear keep, try, or stop decision. Confidence and data gaps stay visible before that learning changes the strategy.
A report matters when it changes what you do next.
Reach, clicks, saves, replies, leads, and sales can answer different questions. Start with the content job, then choose evidence that can inform the next decision.
01
Hypothesis
Keep the job and chosen measure from before the post went live.
02
Comparable set
Group only posts with a useful audience, job, topic, format, and time match.
03
Evidence
Show definitions, sample size, missing data, and downstream outcomes separately.
04
Confidence
Treat a small or messy pattern as a test—not a universal conclusion.
05
Write-back
Turn the result into one keep, try, or stop decision for future work.
Do not turn every result into a winner or loser.
02
Try
Change one thing and name the evidence the next test needs.
03
Stop
Retire work that repeatedly fails its intended job or no longer fits the strategy.
Keep the question, comparison, and confidence beside the answer.
Evidence in
- — The original content job, hypothesis, and success measure
- — Published post, channel, audience, topic, format, and date
- — Available platform and downstream outcome data
- — A defined comparison set and observation window
- — Minimum evidence and confidence rules
Decision out
- A like-for-like performance comparison
- Visible metric definitions, missing data, and sample size
- A plain-language pattern with evidence
- One keep, try, or stop recommendation
- A proposed strategy or brief update with confidence
Both can teach something—if the comparison is honest.
Workflow 01
A strong educational post becomes a repeatable pattern
One post outperforms the recent average, but the reason is not yet clear.
- 01Return to its original audience, job, angle, and hypothesis
- 02Compare posts with the same topic, format, and window
- 03Keep the supported pattern and propose a focused next brief
The next post builds on a specific lesson instead of copying the surface format.
Workflow 02
A weak result becomes a better test
A post underperforms, but the sample is small and the platform data is incomplete.
- 01Mark the missing data and remove false comparisons
- 02Separate a weak idea from a weak hook or format
- 03Define one change and the evidence needed for the next decision
A measured experiment replaces the temptation to abandon the whole strategy.
Who can turn a result into strategy
Reading a report and changing future direction are separate actions.
- — Viewers can inspect performance and definitions
- — Contributors can propose a learning
- — Owners approve strategy and brief changes
What the data cannot prove
Social results are affected by platform distribution, timing, audience mix, and many uncontrolled factors.
- — Platform metrics and definitions can differ
- — Small samples support tests, not universal conclusions
- — Attribution may be incomplete beyond the platform
When the evidence is too weak
Emelyn labels the gap and recommends the next measurement instead of manufacturing certainty.
- — Missing or delayed metrics remain visible
- — Incomparable posts are removed from the pattern
- — Low confidence creates a test, not a strategy rewrite
Part of Emelyn. Data history, connected accounts, and reporting usage follow the account limits shown on Pricing.
See pricingFor people who need learning, not another monthly export.
Releases, articles, customer proof, and market education all do different jobs. Their results should improve the next brief at the right level.
- The monthly export
- Metrics are copied into slides, discussed briefly, and disconnected from the next planning cycle.
- The evidence loop
- Every pattern returns to its hypothesis, comparable set, evidence gap, and strategy decision.
- The compounding result
- A faster learning loop in which content compounds institutional memory instead of producing isolated charts.
Questions about scores, single winners, and missing data.
Does Emelyn combine every platform metric into one score?
No. Metric definitions and platform contexts can differ. Emelyn keeps definitions visible and compares only measures that support the same question.
Can one high-performing post change the strategy?
It can create a useful hypothesis, but a broad strategy change should reflect the evidence strength, comparable history, and confidence.
What happens when data is missing?
The gap is shown beside the result. Emelyn can narrow the conclusion, extend the observation window, or propose the next test.
Follow learning back into content and strategy.
See how different content jobs are measured, how experiments stay honest, and how an agency keeps each client's learning separate.
Experiment guide
Run one useful content test
Set one question, one changed variable, one primary measure, and one next decision.
ExploreMeasurement guide
Choose the metrics that matter
Match platform signals and business outcomes to the job of the content.
ExploreTiming experiment
Find your best posting windows
Use benchmarks to start, then compare like-for-like posts with your own audience data.
ExploreLive-signal workflow
Trend to social
See whether a timely angle should change a durable strategy after the moment passes.
ExploreSource workflow
Podcast to social
Separate asset reach, episode starts, listening, and useful questions.
ExploreBest-fit workflow
For agencies
Turn each client's comparable results into a clear next recommendation.
ExploreCategory guide
Social media analytics
Understand useful measurement and reporting choices.
ExploreOutcome integration
Connect social clicks to site outcomes
Carry tagged visits into a careful observed-outcome view without claiming perfect attribution.
ExploreEditable template
Record the pattern and the next test
Keep competitor observations separate from your evidence, action, and learning.
Explore