Avigrah/Customer Intelligence 360 Live System · 1 Template Available
Customer Intelligence 360 | 1 Template Available

Your customers show you what they want. Most brands just don't act on it.

Every click, scroll, product view, and cart action is intent data. This system reads it, decides the next step, and executes it automatically. Your team only reviews outcomes.

No large marketing team. No manual campaign planning. No guesswork.

Live behaviour feed · Customer: Rahul S. Monitoring
Viewed Nike Air Max 4× this week
high_intent_product
0.82
intent score
Added to cart, abandoned at checkout
cart_abandon
0.91
intent score
Spent 9 min in 'Running shoes' category
category_interest
0.76
intent score
Logged in 3× today, viewed pricing page
price_sensitive
0.68
intent score
Clicked on 'size guide' but didn't add to cart
hesitation_signal
0.73
intent score
System decision: Send 10% off on Nike shoes + show 3 similar running shoes → confidence 0.89
The hidden cost

What you're missing today

Out of every 1,000 visitors to your store right now, most leave without buying. Here's what that looks like in real numbers.

720
left without buying
They browsed, clicked, and left. No follow‑up.
180
added to cart, didn't convert
Abandoned carts with no recovery attempt.
60
showed strong intent, got no follow‑up
Repeated product views, price checks — ignored.
This system acts on those 240 missed opportunities automatically.

Illustrative scenario based on typical e‑commerce funnel patterns. Your actual opportunity depends on traffic, conversion rate, and customer behaviour.

Who is this for?
Examples below adapt to your business model.
How It Works

The system watches. Understands. Converts.

No generic campaigns. Every action is user‑specific.

01

Reads behaviour

Tracks: product views, cart actions, time spent, category browsing.

Real example (D2C brand)User viewed Nike shoes 3× but didn't purchase.
02

Understands intent

Maps: price sensitivity, category interest, buying stage.

Real example (D2C brand)Running shoes interest → mid-range pricing → high intent (D2C brand).
03

Decides action

System determines: what to send, when to send, where to send (email, WhatsApp, onsite).

Real example (D2C brand)Send 10% off + show 3 similar running shoes.
04

Executes automatically

Campaign triggered, message generated, logged into system.

Real example (D2C brand)User receives personalised message → returns → purchases.
Business Impact

Less marketing effort. More conversions.

More campaigns run
Without adding headcount
+15–25%
Conversion uplift
From behaviour-based targeting
+20%
Cart recovery
From timely nudges
< 3 sec
Signal to action
From behaviour to campaign trigger

Modeled ranges based on typical e‑commerce behaviour patterns, not a guaranteed or independently audited result.

Before vs after

Without this system
Manual campaign planning
Same message to all users
Cart abandonment ignored
Marketing team overloaded
Guesswork on what works
With this system
Campaigns auto‑generated per user
Messages personalised by behaviour
Cart recovery automatic
Minimal team needed (review only)
Only high‑impact actions executed
Behaviour → Conversion Flow

From signal to sale in seconds.

Every behaviour is evaluated. The system decides if the intent is confident enough to act automatically — or if a marketer should approve.

Customer browses products

User views Nike shoes, checks alternatives

System maps intent

High interest + price‑sensitive + comparison phase (D2C brand)

Analysis runs

Nike shoes analysed + 3 similar running shoes surfaced

Decision made

10% off + alternative suggestions

Execution + Review

If high confidence → auto‑send. If low confidence → marketer approval.

Logged into system

All actions recorded automatically

Dashboard · Priority3 actions ready
Priority · High confidence → auto-send
Rahul Sharma
Intent: 0.89 · Cart abandoned: 2 hours ago
Action: Send WhatsApp
Still thinking about Nike? Here are 3 better options + 10% off
Auto-handled · No approval needed
Ananya P.
Email sent · 10% off on Nike shoes
2 min ago
Neha V.
WhatsApp nudge · cart recovery (D2C brand)
7 min ago
Rajesh K.
Onsite recommendation · 3 similar running shoes
12 min ago
All actions auto‑logged · Confidence layer enabled
Deployment Version

Same system. Ready for your store.

One row. One version. Stable and production‑ready.

Core Execution

Stablev1.0.0

Automate personalised campaigns from customer behaviour — no manual planning.

What you get with v1.0.0
Cart recovery automation
Behaviour‑based campaigns
Intent‑driven targeting
Zero manual campaign setup
Plain‑English example — no jargon

User views Nike shoes 4× but doesn't buy. System sends a WhatsApp message: 'Still thinking about Nike? Here are 3 similar options + 10% off.' User returns and purchases.

Trigger
Product view frequency + cart abandonment
Output
Personalised email / WhatsApp / onsite nudge
Speed
< 3 sec
Business Impact
Converts existing traffic without extra ad spend
System Level
Core Execution
Capabilities
Behaviour tracking, intent detection, campaign generation, cart recovery automation, CRM / system logging
Ideal For
E‑commerce brands / D2C stores
Market
Global
Integrations
Shopify, WooCommerce, Custom APIs
Status
Stable
Revenue Logic

E‑commerce is a conversion game. This improves it directly.

This is execution‑driven growth, not analytics.

If you achieve:
Cart recovery increase
More abandoned carts converted
+20%
Conversion rate improvement
Behaviour‑based targeting
+15–25%
Repeat purchases increase
Personalised post‑purchase sequences
+18%
Then revenue increases directly from:
More purchases from existing traffic
More recovered carts
More repeat customers
Attributable ROI — not estimation
This is execution‑driven growth, not analytics.
Infrastructure

Works with your existing store.

Connects to your store, tracks behaviour automatically, runs continuously, logs everything. No manual setup per campaign.

Plug & play

Connects to your store

Shopify, WooCommerce, or custom API — behaviour starts flowing immediately.

Real-time

Always monitoring

Tracks every click, cart, and checkout attempt 24/7. No one needs to trigger it.

GDPR ready

Compliant & secure

All customer data handled with standard e‑commerce privacy practices. Audit logs included.

API‑based
Real‑time
Shopify
WooCommerce
Ready to see it live

See what your customers were about to buy.

We analyse your store data and show: missed conversions, abandoned carts, and exactly what the system would have done.

30–45 min demo. No commitment required.

Customer Intelligence is deployed as part of an Avigrah implementation. Explore deployment options and pricing.

What we'll show in 30 min
Min 0–5
Connect to your store (read‑only access)
scoping
Min 5–15
Behaviour audit — what signals you already have
setup
Min 15–25
Live simulation — what the system would have done last week
validation
Min 25–30
Revenue projection + next steps
live
Zero changes to your store. Read‑only connection.