Tracker dashboards that carry themselves forward

The codebook defines variables, nets and formulas once — each new wave imports and recodes automatically. Trends with real smoothing, wave-over-wave significance and a ready-made brand funnel tracker. ISO 27001-certified hosting, GDPR-compliant, made in Munich.

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Interactive DataLion tracker dashboard with timelines, KPIs and filters across multiple waves

In a DataLion tracker dashboard the codebook defines variables, value labels, net rows and formulas once — and each new wave is imported and recoded automatically, so KPIs like NPS or funnel conversion stay consistent. The trend is shown with SMA/EMA smoothing, and wave-over-wave differences are tested at 80–99%.

  • 🇩🇪 Made in Munich
  • GDPR-compliant
  • DPA included
  • Hosted in Germany

Trusted by research, insights & media teams

  • YouGov
  • SevenOne Media
  • Mediengruppe RTL Deutschland
  • Nielsen Sports
  • mobile.de
  • 50+ interactive chart types
  • 20+ statistical methods (R)
  • 2 weeks release cadence
  • ISO 27001 certified data centers (Germany)

Every wave costs the same manual work

  • Every wave is re-imported, recoded and the dashboard rebuilt by hand.
  • Manual recoding introduces errors that break comparability across waves.
  • Changes get celebrated without testing whether they are even significant.

Defined once, computed every wave

In the codebook you define variables, value labels, net/top-box rows and derived metrics as formulas — once. That definition applies to every new wave, so KPIs like NPS or funnel conversion are computed consistently and automatically.

New waves come in via scheduled imports and are recoded automatically — multi-response to 0/1, recodes and nets. The most common source of error in tracking, recoding by hand each wave, is gone.

  • Codebook defines variables, nets & formulas once
  • Scheduled imports for new waves
  • Automatic recoding (recodeMax/recodeBinary)
  • KPIs computed consistently wave after wave
DataLion codebook with variable, net and formula definitions for a tracker

Timelines that separate signal from noise

Show the trend as a timeline and smooth it with a moving average (SMA) or an exponentially weighted average (EMA) — at a freely chosen window.

For projections, weighted and simple moving methods (SMA, WMA, EMA) and moving sums are available. So you separate the real trend from sampling noise and outliers — wave after wave.

  • SMA/EMA smoothing with a freely chosen window
  • Projection via SMA, WMA and EMA
  • Moving sums for cumulative trends
  • Trend vs. noise cleanly separated
DataLion tracker dashboard with a smoothed timeline in dark mode

Real change or chance?

Whether a metric really rose, DataLion checks right in the table: wave-over-wave and segment differences are tested at 80%, 90%, 95% and 99% via z, chi² or t-test and shown as stars or letters.

Nested tables keep the analysis consistent even across many waves and subgroups — and weighting is recalculated on every filter change, so each subgroup is correctly weighted in every wave.

  • Wave-over-wave and segment significance
  • z, chi² and t-test, pairwise and complement
  • Confidence at 80/90/95/99%
  • Weighting recalculated on filter change

Brand funnel tracker from net rows

A classic use case is buildable straight away: the brand funnel tracker. Render unaided and aided awareness, consideration, usage, preference and loyalty as net/top-box rows and follow funnel conversion between the stages — wave after wave.

Several brands sit side by side as subcolumns. The full mechanics are covered on the tracking studies and brand tracking use-case pages.

  • Aided & unaided awareness as net rows
  • Funnel conversion via top-box/net rows
  • Competitors as side-by-side subcolumns
  • NPS or loyalty as a KPI in the same tracker
DataLion tracker dashboard with a brand funnel, KPIs and a wave comparison

See DataLion with your own data

Start a free trial or book a personal demo — from raw data to a finished dashboard.

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We now work much more efficiently, giving us more time to take care of the derivations and insights from the data for the customers.
Jens Falkenau, Vice President of Market Research · Nielsen Sports
Read the case study →

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Common questions about tracker dashboards

How does a tracker dashboard stay consistent across waves?
The codebook defines variables, value labels, net rows and formulas once. New waves come in via scheduled imports and are recoded automatically, so every KPI is computed the same way wave after wave — no manual recoding.
Which smoothing is available for the trend?
Timelines can be smoothed with a moving average (SMA) and an exponentially weighted average (EMA); for projections, SMA, WMA and EMA plus moving sums are available — each with a freely chosen window.
Is wave-over-wave change significance-tested?
Yes, right in the table: differences between waves or segments are tested at 80/90/95/99% via z, chi² or t-test and shown as stars or letters.
Can I build a brand funnel as a tracker?
Yes. Aided and unaided awareness, consideration, usage, preference and loyalty are rendered as net/top-box rows, and you follow funnel conversion across the waves. Competitors sit side by side as subcolumns.
Is this suitable for institutes and agencies?
Yes. DataLion is multi-client ready and runs GDPR-compliant in ISO 27001-certified data centers in Germany. Rights and roles can be set per team and client.

Build your first self-advancing tracker

Try DataLion free with your own tracking study — codebook defined once, every wave automatic. Or book a personal demo.

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