Campaign signals
Use campaign history to spot what deserves a closer look.
Explore conversion-likelihood scores for recent unconverted clicks, campaign performance forecasts, and flags for unusual activity. These are exploratory signals based on historical clicks and app opens—not guarantees or automatic campaign changes.
CAMPAIGN ANALYSIS
Predictive analytics
3 touchpoints · 6 days since first click
Recent daily trend: steady
A prompt to inspect the campaign and date—not a confirmed cause.
Example values only. Outputs are directional estimates from historical activity.
A starting point for investigation
Three ways to read recent campaign activity.
Focus on a date range or campaign, review the patterns in the report, and decide what merits a closer look in your own analytics.
Conversion-likelihood estimates
Review recent unconverted click paths scored from elapsed time and repeat touchpoints. The estimate is directional, not a promise of future behavior.
Campaign trend forecasts
See projected clicks, app opens, and conversion rates based on recent daily patterns for campaigns with historical activity.
Unusual activity flags
Surface click-volume or conversion-rate changes against recent history. A flag is a prompt to investigate, not proof of fraud or a root cause.
Treat estimates as signals, not certainty
Use a forecast to frame the next question—not make the decision for you.
Lativiq summarizes historical click and parameter-retrieval data with lightweight formulas. Validate any surprising pattern against your campaign context before changing spend or messaging.
What these outputs do—and don’t—mean They are not validated machine-learning predictions, churn scores, purchase-event forecasts, or automatic campaign actions. The current conversion signal is a successful app-parameter retrieval.
- 01
Choose an analysis window
Set the date range, optional campaign, and forecast horizon for the report.
- 02
Review the available signals
Inspect conversion-likelihood estimates, historical trend forecasts, and activity flags.
- 03
Check the context before acting
Compare a flagged change with your campaign history and other product data before responding.
Start with the data you already have
Bring your campaign patterns into focus.
Explore trend summaries and activity signals alongside your tracked campaigns.