Welcome
User Guide
Unica Optimize provides documentation and help for users, administrators, and developers.
Administering Unica Optimize
There are many aspects of Unica Optimize you can configure to improve performance.
HiGHS Migration
From V26.1.0 onwards, the LRE Engine has been upgraded from IBM CPLEX to HiGHS as its linear programming (LP) and mixed-integer programming (MIP) solver backend. This section explains what changed, what you need to know to build and run the engine, and how to work with the new solver API.

Unica Optimize
Release Notes
System Requirements
Installation Guides
Upgrade Guide
User Guide
Unica Optimize provides documentation and help for users, administrators, and developers.
- About Unica Optimize
  Unica Optimize is a web-based extension of Unica Campaign that allows you to determine the optimal contact strategy for each customer. You can optimize over time, looking across the proposed offers and channels across multiple marketing campaigns.
- Getting started with Unica Optimize
  Unica Optimize can optimize your marketing campaign and improve response from customers, but only if you know what you want to optimize. You need a plan, the data to support the plan, and an implementation method.
- Unica Optimize sessions
  A Unica Optimize session is a combination of rules and scores that apply to a set of proposed contacts.
- Optimization rules
  Unica Optimize uses the rules and scores you define in your Unica Optimize session to mathematically determine the best combination of final contacts you use across your marketing campaigns.
- Setting up scores
  You use scores in Unica Optimize to rank possible offers for each customer using a patent-pending optimization algorithm. The higher the score you assign to a contact, the more desirable you are making that contact. Unica Optimize maximizes the sum of scores in the OCT.
- Generate a list of proposed contacts
  The optimization process involves generating a list of proposed contacts in Unica Campaign and sending these contacts to Unica Optimize to produce optimized contacts.
- Use optimized contacts in marketing campaigns
  After you optimize the proposed contacts, you must retrieve the optimized contacts from Unica Optimize to send marketing communications to these contacts.
- Viewing Reports
  For each production run or test run, Unica Optimize generates a number of reports. These reports help you understand what happened during the optimization process by providing analyses pre- and post-optimization.
- Optimize Agentic AI Support
  Optimize supports Optimize Agentic AI support feature powered by the platform’s AI assistant, MaxAI. Built on a multi-layered security and licensing model, this feature streamlines the process of creating, listing, and analyzing optimization sessions via natural language processing.
- Administering Unica Optimize
  There are many aspects of Unica Optimize you can configure to improve performance.
  - The Unica Optimize Utility
    The Unica Optimize utility allows you to load, run, and monitor a Unica Optimize session by using a command-line utility.
  - Optimize listener
  - Configuring Unica Optimize for a multi-locale environment
    The multi-locale feature requires some specific settings in your databases.
  - Configure database load utility
    A large component of a Unica Optimize session is reading data from the PCT and writing data to the OCT. Configuring a database load utility improves the performance of your Unica Optimize sessions.
  - Increase virtual memory allocation for a process (UNIX only)
    If you are processing large amounts of data or are using multi-threaded optimization, you might need to allow Unica Optimize to use more virtual memory.
  - Tuning the optimization algorithm
    There are some settings that you can configure to change the behavior of the optimization algorithm. You can change these settings to improve optimality or to improve performance.
  - Setting UOSQLOnConnect
    There is an additional configuration property, UOSQLOnConnect, that is specific to Unica Optimize in Campaign|Partitions|partition[n]|dataSources.
  - HiGHS Migration
    From V26.1.0 onwards, the LRE Engine has been upgraded from IBM CPLEX to HiGHS as its linear programming (LP) and mixed-integer programming (MIP) solver backend. This section explains what changed, what you need to know to build and run the engine, and how to work with the new solver API.
- Unica Optimize configuration properties
  This section describes the Unica Optimize configuration properties that are found on the Configuration page.
Troubleshooting and Tuning Guide
Unica Optimize is a web-based extension of Unica Campaign that allows you to determine the optimal contact strategy for each customer. You can optimize over time, looking across the proposed offers and channels across multiple marketing campaigns.
System Tables
The Unica Optimize system tables document is intended to help your company understand the Unica Optimize data model for integration purposes.
Licensing Guide
Glossary
Notices

HiGHS Migration

From V26.1.0 onwards, the LRE Engine has been upgraded from IBM CPLEX to HiGHS as its linear programming (LP) and mixed-integer programming (MIP) solver backend. This section explains what changed, what you need to know to build and run the engine, and how to work with the new solver API.

Note: CPLEX has been fully removed. If your build environment previously required a CPLEX license, that dependency is gone. No license configuration is needed to build or run the LRE Engine.

The table below summarizes the new HiGHS configuration.


Aspect	HiGHS
License	HiGHS — MIT licensed, zero cost
Handle model	Single handle: Highs_create()
Global state	None — each instance is independent
Thread safety	Full isolation per instance
Startup	No auth step — always succeeds
Source files	LRESolverHiGHS.h/.cpp (active)
LP model files	LRELPModelHiGHSSolver.h/.cpp (active)
Solver enum value	LPSolver::HIGHS (active)

Linux / macOS (Makefile)

The following changes apply to LRE/Makefile:

CPLEX include and library paths removed from CXXFLAGS and LDFLAGS
HiGHS include path added: -I$(ROOT)/third_party/highs/include
HiGHS library added to linker: -L$(ROOT)/third_party/highs/lib/linux -lhighs
LRESolverHiGHS.cpp and LRELPModelHiGHSSolver.cpp added to source file list
LRESolveriLogCPLEX.cpp and LRELPModeliLogCPLEXSolver.cpp removed from source file list

Windows (msdev_build.bat)

The following changes apply to msdev_build.bat:

CPLEX include and lib references removed from /I and /LIBPATH switches
HiGHS include path added: /I third_party\highs\include
HiGHS import library added: /LIBPATH:third_party\highs\lib\win64 highs.lib
New HiGHS .cpp files added to compilation list; CPLEX files removed