Use case: tracking studies

Update tracking studies automatically

The codebook defines variables, nets and formulas once. DataLion imports and recodes new waves automatically. Timelines support smoothing, wave-over-wave significance and consistent weighting. ISO 27001-certified hosting, GDPR-compliant, made in Munich.

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. This keeps the analysis consistent across waves. Timelines can be smoothed with SMA/EMA. Wave-over-wave differences are tested at 80–99%. Weighting stays consistent per subgroup.

  • 🇩🇪 Made in Munich
  • GDPR-compliant
  • DPA included
  • Hosted in Germany
  • 🌐 Interface in EN, DE, FR & NL

Trusted by research institutes, brands & insights teams

  • YouGov
  • Mediengruppe RTL Deutschland
  • SevenOne Media
  • Nielsen Sports
  • Spiegel Institut
  • Messe Berlin
  • Hartmann
  • 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, define variables, value labels, custom net rows and derived metrics as formulas. DataLion computes top and bottom boxes automatically for every scale question. This definition applies to every new wave. KPIs such as NPS or funnel conversion always follow the same logic.

New waves arrive through scheduled imports and are recoded automatically (multi-response to 0/1, recodes, nets). Manual recoding for each wave is not required.

  • 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 with SMA, WMA and EMA smoothing

Show the trend as a timeline. For smoothing, use a moving average (SMA) or an exponentially weighted average (EMA) with a freely chosen window.

For projections, use SMA, WMA and EMA plus moving sums. This presents trends, sampling noise and outliers separately.

  • 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?

DataLion checks right in the table whether an increase is statistically reliable. 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

Weighting 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 free with your own raw data. Or book a personal demo of the path to a finished dashboard.

Top rated

4.5 out of 5 stars on G2 and OMR Reviews

What users say about DataLion

  • via G2
    Very professional company, attentive to the customer needs, provider of a great software and service.
    Generoso M. · CRM Analyst, Automotive
  • via G2
    The contacts at DataLion are very committed. If you have problems, you can count on help. DataLion reacts quickly to requests for new functions.
    Robert Q. · Managing Director
  • via G2
    User-friendliness, especially for market research topics. Structured backend with many customization options.
    Verified user · Market Research
  • via G2
    The embedding function allows us to generate insights of our data for our audience and customers by far less than half of the usual time needed before.
    Verified user · Leisure, Travel & Tourism
Read all 16 reviews on G2 →
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 →

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.