Lens by Delva Labs

Sign in to your store

Use the merchant credentials linked to your Shopify store.

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Demo: any email and a password of 6+ characters.
© 2026 Delva Labs · Privacy Policy
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Every view, search and cart in your store,
turned into clear trends.

{{ chip.label }}

{{ pageTitle }}

{{ rangeText }}
{{ pulseDot }}{{ active }} active last 30 min
{{ calMonthLabel }}
{{ w.label }}
{{ c.day }}
{{ pickerSelText }}
Compare to prior period
{{ email }}
{{ chart.label }} · daily
{{ chart.total }}{{ chart.delta }} vs previous
This period Previous period
{{ t.label }}
{{ tip.date }}{{ tip.val }}
{{ tip.dateP }}{{ tip.pval }}
{{ tip.delta }} day over day-of-period
{{ x.label }}
What changed
Shopping funnel
{{ f.label }}{{ f.value }} · {{ f.pct }}
When shoppers browse
Sessions by weekday and hour · peak {{ peakText }}
{{ heatTip }}
{{ row.label }}
{{ hl }}
Most viewed products
{{ p.name }}
{{ p.viewsF }} {{ p.delta }}
{{ s.label }}
{{ s.value }}{{ s.delta }}
{{ s.note }}
Session funnel
Sessions reaching each step. Grey marker shows the previous period.
Largest drop-off: {{ biggestDrop }}
{{ f.drop }} dropped · {{ f.step }} continued
{{ f.idx }}
{{ f.label }}
{{ f.value }} {{ f.delta }}{{ f.pct }} of sessions
Checkout rate over time
Sessions that started checkout
{{ t.label }}
{{ x.label }}
Cart adds vs removals
AddedRemoved
{{ b.countA }}
{{ b.countR }}
{{ b.date }}
Traffic vs purchase intent
Product views (x) against add-to-cart rate (y). Bubble size = checkouts.
Hidden gems · promote
Stars
Leaky · review page
Low priority
{{ d.badge }}
{{ ti.name }} {{ ti.views }} views · {{ ti.rate }} add rate · {{ ti.co }} checkouts
{{ quad.yMax }}
{{ quad.yMin }}
more views →
All products
{{ p.name }}{{ p.cat }}{{ p.price ? ' · ₹' + p.price : '' }}
{{ p.viewsF }} {{ p.atcF }} {{ p.rateF }} {{ p.remF }} {{ p.coF }} {{ p.revF }} {{ p.delta }}
{{ s.label }}
{{ s.value }}{{ s.delta }}
{{ s.note }}
Searches per day
{{ b.count }}
{{ b.date }}
Searches with no results
Demand you are not meeting yet
“{{ z.q }}”{{ z.countF }}
Top search terms
TermSearches
{{ q.q }}
{{ q.countF }}
Order history
Behavior · overlaps with above
Visits × orders
Customers by visit frequency and order count. Click a cell to filter.
{{ mc }}
{{ row.label }}
Rows: visitsColumns: orders
Visit frequency
Identified customers by number of visits
{{ b.count }}
{{ b.label }}
RFM: recency × frequency
{{ buyerCount }} buyers by days since last visit and order count, with average spend
{{ rc }}
{{ row.label }}
{{ c.count }}{{ c.avg }}
Top-right = recent, frequent buyers. Bottom rows are at risk of lapsing.
Custom segment builder
Combine rules to define your own audience
{{ cbCount }}customers · {{ cbShare }}
Customers
CustomerSegmentVisitsOrdersCartsSpentLast seen
{{ c.id }} {{ c.seg }} {{ c.visits }} {{ c.orders }} {{ c.carts }} {{ c.spendF }} {{ c.lastF }}
{{ custCountText }}
Select a customer to see their visit history and event timeline.
{{ sel.id }}{{ sel.seg }}
{{ st.v }}{{ st.l }}
First seen {{ sel.first }} · last seen {{ sel.last }}
Recent events
{{ t.label }}{{ t.detail }} · {{ t.when }}
AI Agent {{ aiStatus }}
Ask me anything
I can help with store strategy, analytics interpretation, and e-commerce best practices.
{{ m.content }}
{{ g.text }}
{{ g.text }}
{{ g.text }}
{{ b.num }}
{{ g.text }}
{{ card.title }}
{{ b.valF }}
{{ sg.label }} {{ sg.valF }}
Tap to expand with table
{{ aiPhase }}
Enter to send · Shift + Enter for new line
{{ expandedCard.title }} Full data · tap rows to highlight
{{ expandedCard.lab0 }} {{ expandedCard.labMid }} {{ expandedCard.labLast }}
{{ b.label }}
{{ b.valF }}
{{ b.valF }}
{{ b.label }}
{{ sg.label }} {{ sg.valF }}
{{ h }}
{{ cell }}