Why Aryma Market Matcher
- The first and most crucial step in any Geo testing is the choice of control market.
- Choosing control market is not easy. One requires a robust scientific method in combination with good domain knowledge.
- But the question is which scientifc method should one choose?
- Through our research we have found that Dynamic Time warping (DTW) is simple, elegant and highly effective in choosing the control market.
Why Aryma Market Matcher is a game changer
Accelerate Geo Testing
Discover Latent Similarities Across Markets
DTW aligns non-synchronous market time series. Thus letting you match markets that behave similarly even if peaks/troughs occur at different times.
Seasonality and custom time length Feature
Our custom algorithm identifies seasonality pattern even if time lengths across markets are different. The custom time length feature lets you choose how many time period you want to keep for comparison thus providing you flexibility.
Robust to Noise & Temporal Distortions
Because DTW warps time rather than enforcing strict alignment, noise or small timing variations don’t break matching - so you get meaningful similarity even in messy real-world data.
Built for Marketing in Data-rich Environments
Aryma Market Matcher is powerful when you have time-series for sales, demand, promo-spikes, seasonality, app sign in etc.
How DTW Works
Dynamic Time Warping (DTW) is a time series analysis technique used for measuring similarity between two temporal sequence.
These sequences or time series could be of different length as well. It calculates the optimal match between two series using a set of rules. Suppose there are two series — A and B. The DTW algorithm minimizes the distance between them by creating a warping path (now you know where the word ‘warping’ come from in DTW).
How is DTW different from Simple Euclidean Distance?
Euclidean distance is useful when both the time series are in sync and will compare the value of series 1 at time t with the value of series 2 at time t. Basically, it does one-to-one match and does not take into account time shifts. DTW on the other hand applies one-to-many or many-to-one matches in such a way that the overall distance between the two series is minimized. It allows two similar shaped series of different lengths to match.
Who is it for
Pricing
Standard Plan
$ 99 / month
- Evaluate unlimited number of models.
- Upto 1 seats provided.
- 24/7 support
- Detailed explanation and rationale provided for each metric.
Standard Plan
$ 999 / year
- Evaluate unlimited number of models.
- Upto 1 seats provided.
- 24/7 support
- Detailed explanation and rationale provided for each metric.
