BRANDICA — Warehouse-native CDP logic & orchestration

How it works

CDP 1.0 was the era of a vendor-coded platform, packaged into one monolithic deployment — a huge solution bundle with its own generic data model and long rip-and-replace projects. CDP 2.0 (what BRANDICA embodies) flips the stack: your data warehouse is the foundation, and the CDP is the upper layer that works with the DWH to manage activation logic and orchestration — compiled to SQL where truth already lives.

CDP 2.0 workflow: control plane above, warehouse execution below

Control plane

BRANDICA — CDP layer

This is the CDP 2.0 upper layer: explore data, build audiences, configure rules & missions, orchestrate touchpoints, attach incentives, and use AI / LLM to draft and refine — while logic and orchestration are expressed against the warehouse below, not trapped inside a monolithic vendor silo.

Segments
Workflow
AI / LLM
Orchestration
Activation APIs

Execution plane

Your data warehouse

BRANDICA issues parameterized SQL against your tables: progress, eligibility, mission state, and campaign metrics materialize inside the warehouse you already trust (BigQuery, Snowflake, Spark, ClickHouse, Databricks, StarRocks, SQL Server, MySQL, …).

SQL evaluation
Stateful runs
Audit & lineage
Finance-aligned metrics

Channels (app, POS, CRM, voucher rails) consume signals and rewards from this loop — the CDP stays the brain; the warehouse stays the source of record for who qualifies and why.

Step 1

Connect the CDP to your warehouse

Point BRANDICA at the warehouse tables that already define customers, orders, and stores — the CDP footprint starts on your truth, not a duplicate silo.

Step 2

Segmentation

Build audiences from attributes and behaviors.

Step 3

Configure rules (compiled to SQL)

Spend, quantity, frequency, streak, and store/category constraints become reviewable logic that the platform compiles into warehouse-side evaluation — not black-box scoring elsewhere.

Step 4

Challenges & gamification

Missions and milestones drive motivation and engagement.

Step 5

Automation & incentives

Auto-issue coupons/points/incentives when conditions match.

Step 6

Measure & optimize

Track progress, audit rewards, and optimize campaigns.

Core features & use cases

Personalization and recommendations start with AI / LLM in the product; what ships is compiled into segments, missions, and reward hooks your teams can edit — then measured end-to-end.

Acquire

Targeted acquisition

Automatically issue coupons to new users who reach a spend threshold.

Use case 1: Targeted acquisition.
Use case 2: Tier & store segmentation (target VIP customers, attach home store).

Missions

Missions & purchase frequency

Use rules to measure spend, quantity, and frequency within the correct scope: store, time window, SKU/brand.

Use case 3: Category-spend mission (spend 500k on Brand Y).
Use case 4: Frequency & streak (5 purchases this month).
Use case 5: Smart cross-sell (recommend new category with bonus points).

Gamification & Scheme

Boost engagement with incentives

Gamification and loyalty schemes turn progress into motivation, while improving AOV and purchase frequency.

Use case 6: Gamification (grant lucky spin turns after mission completion).
Use case 7: Loyalty scheme (combine coupons & points).

Retention

Welcome back for dormant customers

Automatically win back dormant segments with rules and rewards — reduce churn and increase LTV.

Use case 8: Retention (automated “Welcome back” workflow).
Use case 9: End-to-end journey (automation from Ads → Purchase → CSAT).

Governance

Governance, auditability, and control

Track progress, issue idempotent rewards, and keep audit logs — ship fast while staying reliable and reconcilable.

Use case 10: Governance & audit (control dashboard and traceability for operations).

Why choose BRANDICA?

Warehouse-grounded activation: fast to pilot when IT shares read access, hard to fake with a generic loyalty wrapper.

Warehouse-first

Progress, eligibility, and mission state resolve on your tables — aligned with finance and ops.

AI / LLM assist, rules-final

AI and LLM for explore, templates, and campaign drafts — execution stays deterministic and reviewable before publish.

Idea → workflow

From goals to segment graphs, missions, and incentives — with clear limits on AI tokens per plan plus simple overage pricing.

Orchestration you control

BRANDICA schedules and issues SQL; rewards and edges integrate to your POS, CRM, or voucher rails — optional self-hosted execution patterns for regulated teams.

Plans & pricing

Each plan caps active users, campaigns (games & missions) over any rolling 12-month window, and AI tokens (input + output) per calendar month. Buy extra tokens anytime: $1 per 1M tokens.

Free

$0

per month

Pilot segments, missions, and rewards at small scale.

Up to 300 active users Peak monthly actives across missions & games.
Up to 3 campaigns / 12 mo Games and missions share the same cap.
300k AI tokens / month Input + output, pooled for AI / LLM and Ask AI.

Team & Enterprise

Larger programs, procurement, SLAs, and custom integrations — quoted separately from self-serve plans.

Team

$1,500

per month

National-scale activations with priority support options.

Everything in Pro Max
Up to 3M active users Peak monthly actives.
Up to 240 campaigns / 12 mo Games and missions share the cap.
60M AI tokens / month Designed for always-on AI / LLM usage.

Enterprise

Custom

annual agreements

VPC patterns, SLAs, bespoke integrations, and procurement packages.

Custom limits, tokens, integrations Contact sales for security reviews & rollout.

Contact sales

FAQ

What is a “CDP logic layer”?

BRANDICA focuses on activation logic — segments, rules, missions, orchestration, and incentives — with evaluation grounded in your warehouse. It complements BI and can sit alongside CRM or marketing clouds rather than replacing your entire data stack in one jump.

How is AI billed?

Each plan includes a monthly pool of AI tokens (input + output) for AI, LLM, Ask AI, and NL workflows. When you exceed the pool, additional usage is billed at $1 per 1 million tokens. Exact metering follows the model provider’s tokenizer and is shown in-product.

How do “active users” and “campaigns / 12 months” work?

Active users are distinct customers who qualify for progress or rewards in a calendar month (definition can be tuned to your identifiers). Campaigns (games and missions) share one cap counted over any rolling 12-month window so teams can plan seasonal bursts without surprise overages.

Do we need to replace our DWH?

No — BRANDICA is built to leverage Snowflake, BigQuery, Spark, ClickHouse, Databricks, StarRocks, SQL Server, MySQL, and other engines you already operate.

How long does implementation take?

Most teams start with read-only access and a single journey: segmentation → missions → incentives. Timelines depend on data readiness, but the goal is a fast first activation on existing warehouse tables.

How do you handle data security?

Role-based access, audit logs, token quotas, and optional enterprise controls (SSO, VPC-style deployments, custom DPAs) are available — aligned with your InfoSec review.

Get started with BRANDICA

Tell us about your warehouse and growth goals — we’ll follow up with a demo, integration scope, and the right plan (including Enterprise).

BRANDICA — Warehouse-native CDP logic & orchestration for retail growth.
A product of X Tech Global JSC.
Website: brandica.app

CDP logic & orchestration on your data warehouse