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Filter usage CTR -

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Dashboard to be integrated capturing the following platform metrics -

Sort -

Net sort usage per feed open

Net sorts by feed type (CLP vs collection vs Search)

Sort usage broken down by sort type (Price L-H, Rating, Popularity / Relevance etc)

Further broken down for different feed types

Conversion post usage

Filter -

Net filter usage per feed open

Net filter usage by feed type (CLP vs collection vs search)

Filter usage by filter type (Static / Dynamic / IF and HVF)

Further broken down for different feed types

Conversion post filter application

At filter label / feed level

HVF -

HVF coverage - % VC for feeds where HVFs are visible

Split by RE / Feed type (CLP vs collection vs search)

HVF usage funnel -

HVF viewed - HVF clicked - PDP clicked - Order placed

HVF position wise CTR - CTRs basis position of HVFs

Conversion post HVF application

Cuts for P0 user cohorts

Cuts at portfolio / SSCAT / feed level

At filter label / feed level

IF -

IF coverage - % VC for feeds where HVFs are visible

Split by RE / Feed type (CLP vs collection vs search)

IF usage funnel -

IF viewed - IF interacted - PDP clicked - Order placed

IF position wise CTR - CTRs basis position of IFs

Conversion post IF application

Cuts for P0 user cohorts

Cuts at portfolio / SSCAT / feed level

At filter label / feed level

App usage -

Shopping experience funnel -

Platform metrics - VC→ OC→ O/V → V/Vi → O/Vi → GMV/Vi → NMV/Vi at RE and feed source level (Aggregated + DoD)

App opens → Feed opened → PDP clicked → Product added to card / Ordered / Wish-list

Average scroll depth by feed type (CLP vs collection vs search)

PDP traffic dissection -

PDP opens → Image scrolls → Description views → UGC checks → PDP reco viewed → Reco interacted

Session time

Metrics -

Sort and filter

View coverage for filters - % VC where visual filters are visible (For HVFs and IFs)

DoD Trend for plat as well as segregated by real estate

Usage trend for sort and filters - Usage trend / CTR of net filters, net sort, filter types and sort types (Usage out of unique feed open per session)

DoD trend for plat as well as per RE

Engagement funnel for filters - Scroll depth, C/V, Session time trends for filtered feeds vs non filtered feeds by real estate

Conversion for filter applied vs non filter applied feed - Plat as well as per RE

Conversion for sort applied vs non sort applied feeds

Tech failure spread for sort and filters - Count of API / client side failures w.r.t. sort and filter application

Further broken by platform / RE / sort and filter types

Retention -

Retention of users applying filters in next N sessions

Retention of users applying sort in next N sessions

Sort and filter usage contribution -

DoD contribution of different sort and filter types out of net sort / filter application

Visual filters CTR and impressions spread -

Impressions by HVF / IF position

CTRs by HVF / IF position

Shopping experience funnel -

Platform metrics - VC→ OC→ NMV/Vi

NMV/Vi funnel - (O/C) X (C/V) X (V/Vi) X (AOV) X (Net/Gross)

At RE and feed source level DoD

App opens → Feed opened → PDP clicked → Product added to card / Ordered / Wish-list

Average scroll depth by feed type (CLP vs collection vs search)

PDP traffic dissection -

PDP opens → Image scrolls → Description views → UGC checks → PDP reco viewed → Reco interacted

Session time

Data dictionary - TBU

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