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AI Marketing Assistants

Eliminate repetitive marketing tasks and scale your e-commerce operations with autonomous AI systems that handle campaign optimisation, creative production, and customer engagement whilst your team focuses on strategic growth initiatives.

Analytics dashboard for user 'Mark Copeland' showing audience data across Instagram, Facebook, Twitter, YouTube, and Reddit. Includes bar charts of audience growth across all platforms and per platform, a pie chart of audience distribution by platform, and a segment breakdown by coaching types like personal development, life, and business coaching.
Analytics dashboard with line and pie charts showing sentiment trends over time for generative AI. Includes sentiment breakdown (positive, neutral, negative), audience classification by interest groups like perfume enthusiasts and gamers, and a section titled 'Generative AI Extraction' listing top marketing headlines.

Why E-commerce Needs Intelligent Automation

Running a successful online store demands juggling countless marketing responsibilities simultaneously—campaign optimisation, creative production, customer service, inventory coordination, and performance analysis. Manual management of these interconnected tasks creates bottlenecks that limit scaling potential and divert attention from strategic business development. AI marketing assistants transform this operational challenge by autonomously executing routine marketing functions with minimal human oversight.

Time Liberation and Profit Optimisation

The businesses scaling most effectively have stopped manually handling tasks that AI systems execute more efficiently and accurately. Intelligent marketing assistants dramatically compress campaign creation timelines, transforming processes that traditionally consumed hours into workflows completed in minutes. Beyond time savings, these systems optimise for actual profitability rather than surface-level conversion metrics, distinguishing between products with varying profit margins and automatically allocating resources toward your most valuable inventory.

Analytics dashboard with line and pie charts showing sentiment trends over time for generative AI. Includes sentiment breakdown (positive, neutral, negative), audience classification by interest groups like perfume enthusiasts and gamers, and a section titled 'Generative AI Extraction' listing top marketing headlines.

What people are saying about us

How We Helped Businesses Like Yours Succeed.

Loke Peng Yuang
Global Business Development & Sales Leader, IBM
5 blue stars

"Audience Intelligence is a very innovative and yet disruptive solution offering in the industry by Turba Media. Leveraging GenAI, they help organisations who want to uncover unknown facts, understand and monetise the rich and yet incisive insights about their targeted audience."

Stuart McLean
Senior AI Applications, IBM
5 blue stars

"It has been a pleasure both advising on the development of Turba Medias unique and market ready usage of generative AI, and to be their ground zero customer using their tech as a research tool in our development here at IBM. The future of digital marketing is looking promising right her in Australia"

Jacob Hoerner
Director, Jacob Hoerner Galleries
5 blue stars

"In a crowded Social Media landscape it’s necessary to be more and more precise with how to engage specific target audiences, in my experience using Turba Media allows for each campaign to be delivered more directly to those that are interested leading to more clicks, visitation and ultimately sales. This is now an essential tool for all types of businesses, I highly recommend Turba Media."

Customer Success Managment
IBM Australia
5 blue stars

"The engagement has enabled brands to have direct live access to their audience across various platforms. Turba Media R&D PTY LTD responds promptly and resolves issues quickly. Their ability to deliver items seamlessly and offer continued support makes them stand out. "

Comprehensive Marketing Functions

Modern AI marketing assistants encompass multiple specialised capabilities that work together to create complete marketing systems. Campaign management platforms handle bid optimisation, audience targeting, and budget allocation across advertising channels. Creative generation systems produce ad variations, product descriptions, and social content that maintains brand consistency whilst testing multiple messaging approaches. Email automation tools predict customer lifetime value, identify churn risk, and deliver personalised product recommendations based on individual browsing and purchase patterns.

Revenue-Driving Use Cases

Intelligent automation delivers measurable business impact through strategic implementation across critical e-commerce scenarios. Abandoned cart recovery systems trigger personalised communication sequences at optimal intervals, incorporating exact products left behind and adjusting messaging based on customer history. Dynamic product retargeting shows each visitor the specific items they're most likely to purchase based on browsing behaviour, similar customer patterns, and real-time inventory availability. Customer lifetime value optimisation identifies high-value segments and adjusts acquisition strategies to attract customers likely to make repeat purchases.

Strategic Implementation Framework

Successful AI assistant deployment follows a methodical approach rather than attempting comprehensive automation immediately. Begin by auditing your current marketing operations to identify the biggest bottlenecks consuming disproportionate time or limiting growth potential. Select your first AI assistant based on your primary pain point—campaign optimisation challenges, creative production limitations, email automation gaps, or content creation needs. Start with conservative budgets and settings whilst the system learns your audience patterns and business objectives.

Measuring Business Impact

Demonstrating return on investment requires tracking metrics that connect directly to business outcomes rather than simply measuring efficiency gains. Calculate time savings by documenting hours previously spent on tasks now handled by AI assistants, then multiply by your team's true hourly value to quantify opportunity cost recovery. Monitor customer acquisition cost reductions resulting from improved targeting, optimised bidding, and enhanced creative testing. Track return on ad spend improvements through better attribution, profit-focused optimisation, and automated budget allocation toward top-performing campaigns.

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Created by potrace 1.10, written by Peter Selinger 2001-2011