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Turn anonymous visitors into known customers.

Coniq turns visitors into known customer profiles the operator owns, unified across every tenant, the cross-tenant view a single-store loyalty tool can't see, then runs offers, campaigns and comms on top of that data.

A shopper whose visits and offers build a known customer profile
The operator's advantage

No single tenant can see the shopper the way you can.

A retailer sees its own baskets. You see the shopper across the whole destination, every tenant, every visit, every redemption. Unify that into first-party data you own and it becomes a real P&L line: loyalty data is becoming a $1B+ asset across the industry.

From scattered to unified

Turn slices of the shopper into one profile

The work of resolving identity, joining transactions and governing the result, so the destination view is one you can actually use.

Identity resolution

Match a shopper across app, card and tenants into one profile, so the same person isn't three records, and the destination view is true.

Transactions unified

Capture what shoppers buy through receipt scanning and transaction-based promotions, so behaviour across tenants becomes one timeline, no deep POS integration required. Card linking and POS live in the loyalty platform.

The cross-tenant view

See how shoppers move and spend across the whole place, the destination-level pattern that's invisible to any single brand inside it.

First-party data you own

The destination's customer data is the operator's asset, not rented from a platform or trapped in a tenant's system. Yours to build on.

Governed access

Role-based access and audit trails extend to the data itself, so the right people see the right view, and every access is accountable.

Proof for tenants

Turn the unified view into evidence of the destination's value to each retailer, the impact story tenants keep asking you for.

How the view gets built

From connected sources to a destination you can read

1

Connect

Pull in members, offers and transactions across every tenant in the destination.

2

Unify

Resolve identity and join behaviour into one profile per shopper, the cross-tenant view.

3

Activate

Feed that data into offers, campaigns and proof, and into the loop that sharpens the next decision.

The same first-party foundation is what makes destination intelligence and, over time, loyalty data that AI agents can read and act on possible, but those are the direction we're building toward, not a claim about today.

One interaction, end to end

From a shopper's question to a measured result

A single conversation with the concierge doesn't stop at an answer. It becomes intent, a known profile, a segment, a personalised message, and a result you can measure, all on data the operator owns.

  1. 1

    AI Concierge conversation

    A shopper asks the concierge what they're looking for

  2. 2

    Intent

    The question becomes a captured intent signal

  3. 3

    Known customer profile

    Intent resolves to a profile the operator owns

  4. 4

    Segment

    The profile joins a segment with shared behaviour

  5. 5

    Personalised communication

    The right message goes out on the right channel

  6. 6

    Measured commercial result

    The response shows up as a tracked result

How the data gets captured

More ways to turn a visit into a known customer

Identity and transactions don't rely on one integration. The breadth of capture is the point: every method is another route from an anonymous visit to a profile the operator owns.

Receipt scanning

Shoppers scan a receipt to earn or claim, and you capture the transaction without a deep POS integration. The fastest way to see spend across tenants that aren't wired to the till.

Transaction-based promotions

Tie an offer to a qualifying spend, so redeeming it hands you the transaction behind it. The promotion and the data capture are the same action.

Digital coupon books

Replace the paper booklet with a digital one members open, browse and redeem from, so every claim is a named shopper and a tracked offer, not an anonymous voucher.

Events

Registrations, check-ins and event offers turn a footfall driver into first-party data: who came, what they engaged with, and what they did next.

Geofence & app behaviour

Location triggers and in-app activity show when a member is in the destination and how they move through it, signal a directory or website can't give you.

Scan-to-win

A prize mechanic that gets shoppers to opt in and identify themselves, high-volume acquisition that seeds the profile you build on later.

Each method captures a different slice, receipts, spend, location, engagement, and they resolve to the same profile. The more methods a destination runs, the fuller its first-party data becomes.

Offers & campaigns

Run offers on the data, with the controls to sign off on them

Create, target and govern offers across the destination, the campaigns the unified customer data makes possible, built for an operator coordinating many tenants.

Create offers

Build offers once and run them across the destination, percentage, spend-and-get, member-only, tier-gated. One library, every tenant.

Target campaigns

Reach the right members with the right offer using the unified member view, not a blast to everyone, but a campaign aimed at the shoppers who'll act.

Role-based access

Marketing drafts, the right approver signs off, finance sees the commitment. Permissions map to how your organisation actually works.

Audit trail

Every change, approval and launch is logged, so “who approved this and when?” is always answerable. The record your CFO and ops team expect.

Approval workflows

Offers move through review before they go live, fast enough for marketing, controlled enough for the people accountable for the budget and the brand.

AI-assisted content

Generate on-brand copy, titles and image prompts in seconds, drafting the campaign so your team can review and approve, not start from a blank page.

Reach members on their channel

Deliver the offer where the member already is, across email, SMS, WhatsApp and, increasingly, the AI agents they talk to, from one member view.

AI-assisted content creation is launching this quarter. The pattern is deliberate: the AI drafts, your team approves, so speed never costs you control.

The approval loop

Fast to launch, safe to sign off

1

Draft

Marketing creates the offer and targets it to the right members, AI can draft the copy.

2

Approve

The right role reviews and signs off. Permissions decide who can launch what, where.

3

Launch & log

The campaign goes live and every step is recorded, a full audit trail, ready for review.

Proof, not promises

The unified destination view runs in production today

Members, offers, redemptions and captured transactions, with role-based governance and audit trails, powering leading malls & outlets at scale right now.

Cross-tenant data in production Modern dashboard on top, live now Destination intelligence = direction

See the data advantage only you have

A working demo on data shaped like your destination, one shopper, every tenant, owned by you.