Tracking studies that carry themselves forward

The codebook defines variables, nets and formulas once — new waves import and recode automatically. Trends with real smoothing, wave-over-wave significance and consistent weighting. ISO 27001-certified hosting, GDPR-compliant, made in Munich.

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Interactive DataLion tracking dashboard with timelines and filters

In DataLion the codebook defines variables, value labels, net rows and formulas once; new waves are imported and recoded automatically, so everything stays consistent across waves. The trend is shown as a timeline with SMA/EMA smoothing, wave-over-wave differences are tested at 80–99%, and weighting stays consistent per subgroup.

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

Trusted by research, insights & media teams

scheduled automatic wave import
SMA/EMA/WMA smoothing & projection
80–99% wave-over-wave significance
auto-recode consistent variables

Why tracking waves eat so much time

Every wave is re-imported, recoded and the deck rebuilt by hand.
Manual recoding introduces errors that only surface late.
Changes get interpreted without testing for significance.

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, 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 and formula definitions

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.

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 dashboard with a timeline and smoothing 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.

Wave-over-wave and segment significance
z, chi² and t-test, pairwise and complement
Confidence at 80/90/95/99%
Nested tables, consistent across waves

Representative — in every wave

To keep waves comparable, you weight to your sample frame. Weighting is recalculated automatically on every filter change, so each subgroup is correctly weighted in every wave.

Weights come from the dataset, from a separate table, or are computed in DataLion to a target distribution — more on data preparation.

Weighting consistent per subgroup and wave
Recalculated on filter change
Weights from dataset, table or computed
Weighted bases per question

Brand, NPS and KPI tracking

The same engine carries any recurring study type: brand tracking with funnel and image, NPS tracking over time, or a continuous customer and KPI tracker.

The only difference is the metrics in the codebook — the mechanics of auto-import, smoothing, significance and weighting stay the same.

Brand tracking: funnel & image over time
NPS tracking: score and drivers wave after wave
Customer and KPI tracking for portals
Multi-client ready for institutes and agencies

Interactive DataLion dashboard as a tracking cockpit

What you can build with DataLion

Brand tracking

Funnel & image wave after wave, significance-checked.
See how →
NPS tracking

Codebook formula, smoothed trend, drivers.
See how →
KPI tracking portal

Embedded live dashboards that carry themselves forward.
See how →

See DataLion with your own data

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

Try it free Book a demo

**Jens Falkenau**, Vice President of Market Research · Nielsen Sports

The platform in detail

Go deeper

Common questions about tracking studies

How does a tracking study 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 (e.g. multi-response to 0/1), so every KPI is computed the same way wave after wave — no manual recoding.

Which smoothing methods are 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.

Does weighting stay consistent across waves?

Yes. You weight to your sample frame; weighting is recalculated automatically on filter change, so each subgroup is correctly weighted in every wave.

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.

Ready to automate your tracking waves?

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