Services
Our consulting team comprises experts from various disciplines, including technology, digital marketing, and data science. Whatever challenge you face, we’ve got the skillset and knowledge required to help you meet it head-on.
AI Marketing Services
Our AI strategic consultants offer a range of services designed to help your business make the most of artificial intelligence and machine learning, including:
- Evaluating existing digital marketing processes and developing tailored solutions.
- Establishing measurable objectives for AI implementation.
- Identifying potential opportunities for automated processes.
- Conducting a comprehensive assessment of the digital marketing technology landscape.
- Developing AI-driven digital marketing strategies, such as SEO Services, to engage customers and increase conversions.
- Exploring the use of artificial general intelligence to improve decision-making.
- Outlining the long-term implications of AI applications in your industry.
AI Strategy
01.
Evaluating Process
Evaluating existing digital marketing processes and developing tailored solutions.
02.
Measurable Objectives
Establishing measurable objectives for AI implementation.
03.
Identifying Opportunities
Identifying potential opportunities for automated processes.
04.
Conducting Assessments
Conducting a comprehensive assessment of the digital marketing technology landscape.
05.
Scenarios and Impact
Outlining the long-term implications of AI applications in your industry.
06.
Strategy Development
Developing AI-driven digital marketing strategies, such as SEO Services, to engage customers and increase conversions.
07.
Tech Assessment
Conducting a comprehensive assessment of the digital marketing technology landscape.
08.
Salesforce Development
Developing AI-driven digital marketing strategies, such as SEO Services, to engage customers and increase conversions
AI Solutions
01.
Churn Prediction
Given that it costs 5-10 times more to acquire a new customer than to retain an existing one, it seems obvious that all businesses should engage in some level of churn prevention. Churn prediction is a relatively quick win with machine learning, and its potential value to an organization is staggering, making it a great proof of concept (POC) project.
02.
Recommendation Engines
Recommendation engines – or recommender systems – are built to predict what users might like, especially (though not always) when there are lots of choices available. Recommendation engines can explicitly offer those recommendations to users (e.g., Amazon or Netflix, the classic examples), or they might work behind the scenes to choose which content to surface without giving the user a choice.
03.
Hyper-Personalization
The advances made in marketing AI and in particular in recommender systems have unlocked new gains in marketing personalization efforts. In fact, AI is the only way to deliver hyper-personalization: its ability to absorb and sort through a lot of unstructured data and use that information to gain more relevance among customers is a critical asset for marketers. Companies who aren’t Amazon and don’t have their seemingly endless resources can still use machine learning to analyze a variety of data sources for the basis of AI-based personalization, including:
04.
Customer Segmentation
Segmentation is a marketing process that consists of dividing a broad target market into categories (consumers, businesses, etc.) that typically would have common interests, traits, or needs. Marketers segment user or customer databases to link a product and/ or service to a specific target with the right messaging and / or dedicated campaigns.
05.
Dynamic Pricing Optimization
For any company selling products or services, whether online or offline, setting the optimal price is everything. And it’s a fine balance to find the equilibrium between what customers are willing to pay and what the business’s profit margins can withstand.
06.
Real-Time Forecasting
The best, and only, way to understand today’s consumers is through real-time forecasting which reveals insights about the market, the competition, and perhaps most importantly, your consumer base, their needs, pain points, and desires as they stand right now. That’s a major shift from the marketing of the past, where marketers took days, weeks, or months to uncover insights through laborious keyword research, SEO audits, or outdated historical customer data.
07.
Hyper-targeted Advertising
Effective data-powered advertising is the cornerstone of many companies’ marketing efforts, so they are always looking for new ways to better target consumers. Oftentimes this is through a comprehensive service that integrates data from a variety of sources, allowing for a complete understanding of audience information, content preferences, and advertising consumption behaviors.
08.
Marketing Attribution
Marketing attribution is the process of measuring campaign effectiveness by quantifying the influence campaigns have on a desired outcome (e.g., starting a free trial, making a purchase, etc.). By understanding which channels or what content leads to a higher conversion rate to these desired outcomes, marketing teams can better optimize spend and messaging.
Speaking & Training
01.
Understanding AI
We’ll start by exploring the basics of AI, understanding key concepts and terminologies, and discussing how it’s revolutionizing the marketing, media, and advertising industries.
02.
Exploring Applications of AI
We’ll take a deep dive into how AI is being utilized in the industry, looking at areas like customer insights, personalization, marketing automation, content creation, media buying, and ad targeting.
03.
Hands-on Experience
The best way to learn is by doing, so you’ll be engaged in several hands-on activities. These activities will help you identify AI opportunities in your organization, create an AI roadmap, and prepare a compelling AI pitch for your stakeholders.
04.
Responsible AI
We will explore the ethical considerations when implementing AI, including transparency, privacy, and responsible AI practices.
05.
Digital transformation
Reimagining business in the digital age. Create new business processes, culture, and customer experiences to meet changing business and market requirements.