View
38
Download
0
Category
Preview:
Citation preview
Artificial Intelligence (AI) Powered Go-to-Market AgencyIf you’re not “relevant to your customer in every context,” you risk diluting your brand or losing them entirely
Who we areArtificial Intelligence (AI) Powered Go-to-
Market Agency. We take traditional Product-
to-Market practices and innovative them
thru the use of Artificial Intelligence to
develop a strategic action plan that clarifies
how to reach your target customers and
better compete in your marketplace“There’s a way to do it better – find it” – Thomas
Edison
Age of the CustomerWe are in the age of the customer - With
digital media, empowering customers to
choose how they consume and share
information, communicating with consistent
messaging across all mediums is essential.
The average consumer goes through at
least six channels before making the
decision to purchase a product or service.
Brands Using AI Intelligence: You've already experienced AI
LinkedIn LinkedIn is a business and employment-oriented social networking service that operates via websites. It is mainly used for professional networking, including employers posting jobs and job seekers posting their CVs. Which leverages NN technology for social graphing and recommendations.
Facebook Facebook is an American for-profit corporation and online social media and social networking service. After registering to use the site, users can create a user profile indicating their name, occupation, schools attended and so on. Leverages NN technology for social graph, friend recommendations
SoundCloud SoundCloud is an online audio distribution platform based in Berlin, Germany, that enables NN for song matching, song streaming.
Target "We let the AI pull [up] the product that the shoppers want, and if we do that it is a level of personalization we have not seen for a very long time.“Skechers
At Skechers.com, for instance, shoppers can click on a product they like, and AI-powered engines by Sentient will analyse the catalogue in real time to identify and serve up similar styles. “This helps to make the shopping experience more enjoyable and stress-free
The North Face Online clothing & accessories shopping - "working with a tool called the Fluid Expert Personal Shopper powered by IBM’s Watson cognitive computing technology, which enables users to have more intuitive search experiences thanks to its natural language capability
Personalization: Age of the CustomerWhether you're in-store or online Customers now expect businesses to understand their needs and provide relevant and desirable information, products, services at the right time:
of people say the customer experience is more important than price in their choice of brand.
of online consumers get frustrated with websites when content is not personalized/related to their interests.
uplift in sales by organizations who are personalizing their web experiences
This power pushes firms to put themselves in customers’ mindsets by appealing to their true intents—whether those are driven by a specific item, price point, or level of convenience
6
Step 6Step 5Step 4Step 3Step 2Step 1Consolidate Customer
Data
Market Segmentatio
n
Optimize Product &
PriceAnalyze
FrequencyReal time Creation
Deliver
Identify product price patterns for
each customer from data
using clustering (market
segmentation) algorithms
Determine the optimal
products and price ranges for each customer based on the initial market segmentation
analysis
Use neural networks (AI solutions) to
determine/predict purchasing
frequencies for each customer - so that we don't
oversell or undersell and
have maximum conversions and
ROI
Generate the right quantity
of topic-optimized and price-targeted marketing ads
for each customer in real time.
Deliver offer – based on product prediction, price
analysis, purchasing
frequency AND deliver to ALL
integrated channels in the omni channel
ecosystem
Identify existing capability and
build transformation
roadmap to support people, process, tech &
data management
Cust
omer
Da
ta
Central Custome
r Databas
eLow concentrationHigh concentration
How AI Extends The Brand & Customer ExperienceCustomer journey optimization across multiple touchpoints influences the end-to-end experience
Increase in base profit
Lower sales expenditure
Higher profit margin
Enhanced Brand Image
Optimized Product Portfolio
• Identify customer and market behavior patterns
• Determine the best communication for each customer
• Reduce Revenue Per Dollar of Sales Expense
• Repeatable Sales Process Model, Field Enablement, Opportunity Qualification
• Use predictive AI to surface Product Preference Insight
• More sale per customer(e.g. new products, services, cross sell/upsell)()
• Increase customer retention/ loyalty()
• Reducing marketing budget()
• Reduces time to map Customer-Product()
• Increase in customer retention value()
Increase in transaction efficiency
Lower acquisition cost
Sales Effectiveness
Financial Gain
• Reduces time to analyze large set of historical data()
• Reduce customer acquisition cost)()
• Lower marketing cost() Customer
Lifetime Value
Maximize Marketing ROI • Increase in sale per customer()
• Increase business user self-service() and reduce time to analyze information ()
• Influence a brand’s positioning and unique value proposition
• Customer Preference & Need• Create competitive advantages for
your product offering in each market• Real time analysis• Product Bundling
Cross sell/Up sell opportunity
• Increase shopping cart conversion()
Business Value Business Impact Insights Capabilities Business Metrics
Our ServicesArtificial Intelligence (AI) Strategy & Customer Intelligence Consultancy. We provide Advisory Business Services to leading CMOs on how to leverage Artificial Intelligence and Marketing Automation to influence 1:1, End to End personalized customer and Brand experiences.
Marketing Strategy & Technology Capability Alignment
Vendor Evaluation & Selection
Implementation & Internal Capabilities Enablement Leadership
Gap-to-Fit Internal Readiness
Business Case Development
Identify product and price patterns for each customer from data using clustering (market segmentation) algorithms
Determine the optimal products and price ranges for each customer based on the initial market segmentation analysis
Use neural networks to
determine/predict purchasing frequencies for each customer
- maximum conversions
and ROI
Identify competitive influence on market and
predict impact on product performance
Our AI Customer Intelligence Analytics Services:Our Scope of Advisory Services:
Thank You
Recommended