Three Takeaways to Boost Mobile Data Revenues

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Succeed With 3 Practices to Presented by Real Impact Analytics Mobile Data

Transcript of Three Takeaways to Boost Mobile Data Revenues

Page 1: Three Takeaways to Boost Mobile Data Revenues

Succeed With 3 Practices to

Presented by Real Impact Analytics

Mobile Data

Page 2: Three Takeaways to Boost Mobile Data Revenues

Voice and SMS revenues are declining

…while data revenues do not compensate for that loss

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Operators need to leverage data better

to succeed with data

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Our research has shown that operators should focus on taking customers on the data journey

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What do we mean by the data journey?

Engage your customers on a data journey with three simple steps

Create need for dataOptimize promotionsRedefine pricing strategies

Boost your revenues by applying these three best practices in your strategy.

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First usage of data consuming apps

Occasionalweb usage

Frequent streaming (high volume data-usage)

Transition to frequent data usage

Take your customer through every step. Every customer’s data journey is paced differently.

Help them towards the right data bundles. Offer small incremental upgrades to increase usage.

Create value. Tailor the offers to the interest of your subscriber.

Data journey Example

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Know your sub’s interestsAnalyze usage of mobile apps with DPI to understand customers’ interests and offer the right promotions

Step 1. Create need for (more) data

Power-users can be targeted with large data package promotions to enforce heavier dataconsumption (e,g, streaming services like Spotify or Netflix). Offering Whatsapp for free to suchcustomers destroys value. Knowing what the interest of you subscribers make you offer morerelevant.

More info

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Step 2. Optimize promotions

Stop smartphone subsidiesThey do NOT boost data revenue

More infoSmartphone subsidies rarely lead to increased data usage. We found this was only true in 20% of the cases.

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Step 3. Redefine pricing strategies

Switch to bundlesPay-per-byte models cause customers to churn

More infoOffer bundles rather than limiting consumers’ data usage. Low-data users will not see the value of data through pay-per-bytes, while switching high-data users to a pay-per-byte model when they exceed their data limits, increases churn.

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WHO WE ARE

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We appify telecom data

We focus on giving the end-user only relevant information.

ü Simple overviews of the situationü Ability to dig deeper into performance leversü Automatic recommendations of next actions

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[email protected]

@RIAnalytics

realimpactanalytics.com

@RealImpactAnalytics

Real Impact Analytics

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