Does it seem like you spend most of your time collecting and analyzing data just so you can decide what to work on?
Our smart action engine powered by MarketAIng does the work of collecting and analyzing the data for you.
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Harvests thousands of metrics from dozens of data sources in minutes.
Uses qualitative decision engine to make recommendations based on industry benchmarks or historical comparisons.
Uses quantitative analysis engine to guide UX and conversion recommendations.
Helps prioritize which actions to take through our “secret-sauce” marketing ontology which provides relationships between outcomes and actions.
Rob Bertholf’s layered framework brings a holistic approach to modern marketing, aligning to the "practitioners journey".
Historically, marketing strategies have been contained in silos, such as marketing verticals. Detached from the larger picture, focus was put on separating marketing efforts into individual channels like social media, PR, website design, or email marketing. This creates blind spots between silos for everyone involved from practitioners, to agencies, to business owners.
The six-layered approach deconstructs various marketing channels and rearranges the strategy into a logical and practical order. By working your way through each layer, you will more thoroughly understand digital marketing as well as the connections between each vital layer and what impacts each. In today’s modern marketing world, you need all six layers to form a truly comprehensive strategy.
Our recommendations engine places a score for each layer to understand where to focus resources in order to achieve a balanced marketing profile.
Successful marketers are able to bridge the gap between business objectives and marketing tasks.
However, this is a challenge for omni-channel analysts nevertheless executive management. Understanding what to prioritize, or what the expected outcome will be for prioritized tasks is often guesswork.
Our goals explorer associates expected outcome to each recommendation. With machine learning our prediction engine gets smarter each day.
Task assignment is made easy by our recommendation engine.
Through the automated qualitative and guided quantitative analysis marketAIng's recommendation engine generates highly customized and actionable recommendations.
Each recommendation is associated with an impact. This impact provide insight into what Goals or Layers are impacted along with a weight or impact level. This makes it easy to decide what to action on and what return on investment is expected for the resources allocated.
Recommendations may also contain actions, which are specific ways to execute on the recommendation, these come in the form of Do It Yourself (DIY) and Do It For Me (DIFM) options.
Our secret sauce comes from forming a relationship between 3 key areas:
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