Pricing Analytics with Clintview Nauman Ahmad, Consultant September - - PowerPoint PPT Presentation

Customer Value Engineers

Pricing Analytics with Clintview

Nauman Ahmad, Consultant September 2016

Founded in 2005 – Hamburg / Germany Telecom Software Development 20+ years EXP Billing & Pricing software Key partnerships Customer Value Engineers

Partner Partner

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Clintworld Success Stories – Projects achieved

Operators Projects

Clintview is used as Pricing Simulator (landline, mobile, internet, quadriplay) in

• rder to control the risk of price-driven churn for each and every client. Web

application customizations for specific tasks. Drove pricing standardization and control down to the customer sales representatives. Clintview is used for optimizing upsell and loyalty campaigns to increase ARPU and reduce churn. Also migrating the customers from Eplus to O2. Clintview performs the regulation authority requirement to communicate the best possible price plan to every customer. Runs fully automated for > 24 months. Clintview is used for various pricing and customer management tasks in B2B and B2C Phonehouse needed a system which enables the customer base to be migrated into adequate service plans. Offers “Best Price Guarantee” against all products in the market. Clintview computes and bills Best price for > 1000 products in the Belgian market.

Sep-16 Speed and precision: Pricing Analytics with Clintview

Germany Hungary

Clintview: in a Nutshell

Sep-16 Speed and precision: Pricing Analytics with Clintview

WHAT IT DOES ? KEY DEPLOYMENTS

• Immediately computes impact for every single

customer (what if)

• Determines product profitability
• Identifies churn risk
• Identifies upselling potential
• Creates transparency of competitive positioning

APPLICABLE USE CASES

• Convergent & Bundle Pricing simulator

(landline, mobile, internet, quadriplay)

• Control the risk of price-driven & CxP churn
• Price Standardization (pruning)
• Optimizing Upsell & Retention campaigns
• Migrate customers into adequate services

plans

• Best price plan to every customers
• Pricing & customer Management
• Best price Guarantee against >1000 products

Germany

Usage Data

All formats accepted 1-3 months

Tariff Data

PDF, Excel or HTML

Subscriber Data

Actual Tariff of subscriber Options & Discounts of subscriber

What data is needed?

OWN PORTFOLIO SEGMENT INFORMATION USAGE DATA COMPETITORS PORTFOLIO ELASTICITIES

S I M U L A T I O N

UPSELLING PROPOSITIONS LOYALTY PROPOSITIONS CHURN ANALYSIS ARPU MARGIN

B U SI N E SS R U L E S

Sep-16 Speed and precision: Pricing Analytics with Clintview

0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 2000 4000 6000 8000 10000 12000 10% 14% 18% 22% 26% 30% 34% >38%

Number of customers Saving potential actual product compared to competition Churnrate

Price independent churn

Ideal loyalty offering range

Price related churn

Explanation

 Loyalty only makes sense when customers are moved from red to green area  Green loyalty offering is good, red are useless

Optimization of Loyalty Campaigns

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March 2014 Speed and precision: Pricing Analytics with Clintview

0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 2000 4000 6000 8000 10000 12000 10% 14% 18% 22% 26% 30% 34% >38%

Number of customers Saving potential actual product compared to competition Churnrate

Price independent churn

Ideal upselling range

Explanation

 If customers are upsold into critical red area, churn will increase, if not, pricing churn will not occur  Green upselling is good, red is dangerous  Regular competitive simulations are basis for good upselling

Optimization of Upselling Campaigns

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Price related churn

March 2014 Speed and precision: Pricing Analytics with Clintview

Customer Value Engineers

THANK YOU

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