Cross Sell initiatives are paramount to add customer experience and needless to say that one need to identify the right product through right channel. Gone are the days when cold calls and blind mailers were sent to sneak into the minds of customers. With omni channels and direct social networking, cross sell initiatives can be lost in the market noise.
We suggest our clients to define the objective of launching cross selling campaigns to develop predictive model on the existing customer base. As life cycle of X Sell campaigns are limited, TAT & X Selling ROI matters. While scoping X Sell needs, we collate their priorities on Products, Regions, Circles and Distribution Channels.
Step 1: Evaluate Market Potential for X Selling
As business matures, loyal customers tend to show repeat purchase. So X Sell opportunities are more in winning the indifferent customers. While calculating potential sales figure, include customers on the fence besides most loyal customers
Step 2: Distribute Potential across your sales territory
Subject to the country where one operates, distribution is always skewed where top metros take a lion share. Target areas that are prominent with our over 700,000 territories to choose from. Sign up with MarketSize.World which instantly provides potential estimates across GCC, South East Asia, South Asia, East Africa, and South America, besides Top Metros of 153 countries.
Step 3: Assess Sales Affinity and rank order sleeping dogs
Identifying high performance salesforce and effective channel partners are paramount and we analytically segment their historic track. Our proprietary MobizScore engine has algorithms to avoid sleeping dogs for avoiding potential negative RoI to launch a targeted marketing campaign..
Step 4: Use Disruptive Analytics for crafting customer’s buying decision
The traditional analytics with typical scoring from structured data is outdated. Region specific omni-channel hypes are to be accounted which is ensured by our Ai Models that tracks sentimental analytics for effective choice of digital marketing.
Step 5: Design campaigns with multiple analytical layers
The multiple analytical layers ranging from regions to social trends and customer responses are to be blended to create a seamless interface with your campaign management tool. This will ensure continuity of your operational performance in designing and executing campaigns.
Step 6: Monitor & improve execution with machine learning algorithm
As each campaign is to last for a short season, learning on quick wins at early stage matters. Feedback from campaign management tools to be seamlessly integrated and neural models are taken care to optimize the model efficiency in our engagements.
We at IQturf follow this 6 steps while partnering with clients to harness disruptive analytical techniques and improve business outcomes. This ensures our clients to craft a better value proposition for their customers.
