For those who like ‘old school’ gamification, and are attending today’s speech to marketing students at Georgia Tech by Mellissah Smith, the CEO of Robotic Marketer accompanied by her dog Jolie, you might find this handy.
Words to find:
Words to find:
- Robotic Marketer
Robotic Marketer is a game-changing marketing strategy technology platform that transforms the way we do marketing strategies for small to medium-sized businesses.
To find out more, contact us.
Because technology is the answer to coping with the future.
Following the current trajectory of the world’s events, I think it’s safe to say that technology is at the forefront of managing the ‘new normal’. Today, there is mounting pressure on businesses to adapt quickly in order to stay afloat and it is this developing trend the has many believing that a digital future is the only way to go.
It is critical now more than ever that special attention is placed on how businesses capitalize on existing market opportunities and take into account shifting buyer behavior, competitive landscape, and much more. But, this may not be possible without the help of artificial intelligence. And, many businesses are already catching on.
According to a recent study conducted by PwC, 72% view AI as a “business advantage”. Traditionally, marketing strategies took many months to develop and when completed, were considered outdated to the current market environment. Moreover, marketing strategies were limited by the intelligence of the marketing professional writing them, who in most cases would not be across all areas of marketing. For this reason, ‘early adopters’ like Oracle and SAP with large distribution networks saw the value in AI-based marketing strategy technology through real-time insights gained for strategic next steps.
Combining the power of artificial intelligence and machine learning, marketing strategy technology such as Robotic Marketer is able to deep dive into big data available on competition, customer perception, and existing market conditions to provide a comprehensive roadmap to strategically navigate the ever-changing market for sustainable growth. Information gathering is often limited by the tools at our disposal but with Robotic Marketer, you are only limited by the “universe”.
So, here are three benefits to having a marketing strategy technology write your next marketing strategy:
The use of artificial intelligence in marketing enables businesses to innovate and go-to-market faster. Thanks to the dynamics of machine learning, marketing strategy technology is not only able to learn from the past but also prepare for the future by taking account of present conditions.
Organizations and agencies alike are able to leverage this value in order to help their clients succeed. What’s advantageous of utilizing technology like Robotic Marketer is that agencies can now self-serve to have a marketing strategy in place in a matter of days instead of months, which processes the data entered during a workshop in mere seconds rather than hours. Furthermore, with a multi-user functionality to enhance collaboration, teams are able to work alongside each other in real-time to ensure all relevant information is inputted across the board for a faster turnaround.
The human and machine combination could possibly be a match made in heaven. The exponential advances made in the digital sphere has meant that technology now has the precision and performance of a human, and dare say even better.
Marketing strategy technology is able to make sense of large sets of data with minimal manual work. The data gathered is then used to inform relevant marketing tactics with appropriate key messaging to be delivered to the right person at the right time. A robotics-based platform dealing with multiple strategies is able to learn to suggest ideal content most relevant to the target audience. Artificial intelligence takes over the most time-consuming tasks that businesses and their marketing teams struggle with to provide smarter solutions that work.
It Keeps You Ready
The unique ability of artificial intelligence to not only uncover new insights but also apply that to future campaigns through learning is key to maximizing outreach to the target audience in the most effective manner. AI solutions like Robotic Marketer deliver marketing strategies that are not only intelligent but also promote real-time decision making to be strategically positioned or ready for whatever the market has in store. It also increases the likelihood of converting prospects into clients significantly.
At the end of the day, businesses see value in understanding which marketing activities work and which do not, and a marketing strategy that is powered by AI-based market understanding is just the solution needed for an increased ROI and enhanced bottom line.
As many take the time to plan their next steps, having a marketing strategy for the next 12 months will be an essential conversation to have. While the benefits of investing in a marketing strategy technology are endless, the above three reasons highlight why even the world’s largest organizations choose to employ its help.
Technological innovation and marketing strategy are unique and evolving disciplines, wide-ranging into relevant circumstances which are utilized by marketing teams to help facilitate an intended experience amongst consumers. Today, marketing strategy technology is a required approach, employed to ensure the business stays dynamic within a competitive landscape. For instance, Tableau and Salesforce expenditure rate is approximately 53% of their revenue, a colossal amount of their proceeds focused on marketing, sales and technology in 2020.
Here are some benefits of a marketing strategy technology:
Artificial Intelligence (AI)
Artificial Intelligence Marketing (AI) has been in continuous development in previous years, gradually applying a complex and functional perspective within a marketing strategy. The AI methodology comprises of utilizing technological processed intelligence to strengthen the customer’s experience and boost the return of investment of marketing campaigns. Employing technical processes such as machine learning, big data analytics and marketing automation. Furthermore, AI and marketing automation has seen a constant progression since 2014, which is set to continue for a long time. AI is unquestionably the future of marketing strategy and technology, both intertwined to provide insight into your target audience, integration with content generation, and also restructuring the customer service sector via chatbots.
Blogs are an online marketing tactic that utilizes generated content to increase online visibility – intended to appeal to prospects that require assistance towards solving a problem or producing a solution. Specifically, blogs are traffic magnets, channeling online visibility to optimize SEO results, and generating 67% more traffic. Marketing strategy technology like Robotic Marketer is able to deep dive into big data to list out what information your target audience is looking for to create informative and valuable content that adheres to their specific needs.
Google Analytics is by far the most prevalent technical tool that provides an in-depth look into data performance, optimization, and attributing modeling within a brand. It is also free to operate. If used strategically, say with the help of a marketing strategy technology, you are able to identify the pages and links your visitors clicked and journeyed through your website. While this may sound complex to infer especially if you do not have a digital marketing background, that’s what artificial intelligence is for – scraping through the searchable keywords/keyphrases, ranking versus the competition, social media performance, and so much more in a single document. Employing a form of analytics within a marketing strategy sets a business up for success in the midst of competition.
The extensive reach of Artificial Intelligence (AI) has the power to better assist your marketing team in many formats – drawing key insights from marketing best practices to improve your customer’s journey in a matter of minutes. You are provided with a blueprint to capitalize on market opportunities that guarantees a sustainable competitive advantage.
Machine learning is a type of artificial intelligence that allows for the creation of predictive models and algorithms that are able to learn and improve without the need for human intervention. These programs are then able to anticipate consumer behaviour in order to optimise marketing campaigns.
Several ways machine learning can impact digital marketing strategies include:
Enhances Pay-per-click campaigns
Machine learning is crucial to maximising conversion and positively contributes to campaigns by:
- Showcasing metrics that are vital to your business
- Identifying obstacles that could undermine your targets and goals
- Determining key performance drivers in order to improve strategic decisions
Chatbots are perhaps the most noticeable and widespread implementation of machine learning software. Not only do they assist customers with information about products and services, but they are continually learning and improving through the collection of consumer data.
The internet has become inundated with content. Now, in order to succeed, creating content that is personally relevant and engaging for customers is more important than ever. By analysing consumer trends machine learning programs are able to reduce the time taken to track and decipher data, thereby producing actionable insights that are able to be employed.
The creation of meaningful relationships with leads, prospects and customers alike across multiple online platforms is crucial to building brand awareness and engagement. By analysing what type of content, keywords and phrases are most relevant to your desired audience, machine learning is able to successfully manage content.
Search Engine Optimisation (SEO)
SEO algorithms are constantly changing, and now, the mass utilisation of machine learning has led to insights from searchable content becoming more relevant than specific keywords during the search process. To stay ahead of the curve and maintain your high-ranking position, the quality of your content rather than the included keywords should be your main focus.
Alter messaging on the fly
Due to the ability to monitor consumer sentiment in real time, machine learning allows brands to alter their messaging based on the most recent customer feedback. These models also allow for the automation and personalisation of certain marketing processes by allowing machine learning algorithms to make decisions in real time in order to maximise effectiveness.
Predictive approach to Customer Segmentation
The utilisation of machine learning allows for the creation of micro-segments based on behavioural patterns that are incredibly difficult to spot. This data collection enables marketers to employ a predictive approach to customer segmentation, thereby allowing for the ability to lead each consumer individually through their customer journey.