Detailed experiment reads across Programs and real estates combined
HVF experiment reads -
Control_1: No HVFs shown for all real estates Control_2: Old model HVFs shown for all real estates Test_CLP: New model HVFs shown for CLP Test_Search: New model HVFs shown for Search Test_Collections: New model HVFs shown for Collections Test_all: New model HVFs shown for all three real estates O/Vi and GMV/Vi are not yet significant. NMV/Vi and Net_orders/Vi are yet to mature With old model as the control variant Orders per views have improved by 0.2% for the Test_all variant, whereas Views per visitor have dropped by 0.33% leading to a drop of 0.13% in Orders per visitor. Users ordering more but viewing less catalogs could be a possible reason for this trend. The Test_CLP variant showed a drop in all the funnel metrics. Orders per visitor and GMV per visitor for gold products have shown improvement against both control variants Views per visitor for mall products has increased against both control variants Team to debug reason for -
Low V/Vi - Understanding the real estates and the label values driving this - Could highlight the filter values where results are very off Low numbers for CLP - Isolating most affected CLPs and understanding if conversion is lagging for certain filter label values, like high usage of Mall / Gold / smartcoins
Metrics -
Platform funnel metrics -
RE specific funnel metrics 1. CLP
2. Search
3. Collections
Total filter usage on Platform
HVF views - Position wise
HVF v1 was launched across REs on Jun 26th.
The experiment led to Platform O/V improvement of 0.18%, but this was offset by a V/Vi drop of 0.31%, leading to a negative impact on orders per visitor.
For Gold, views have considerably improved whereas orders / view have dropped leading to a net positive impact on orders / visitors. NMV jump was limited due to low CTRs for the construct.
Next Steps:
Relaunch the experiment with updated models to limit filters with poor engagement/scroll depth affecting V/Vi, Current model only ranks basis historical filter usage. Estimated launch : 3rd week of Jul Other launches on improved HVFs accessibility and usability to improve net CTR. ETA 2nd week of Aug