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Marketing

Manage & Score Leads

Improving conversion rates and return on investment (RoI) with AI technologies

Improving conversion rates and return on investment (RoI) with AI technologies

For:
Third-party payment companies, end users, merchants
Goal:
Other
Problem addressed
Help the operation team identify new business scenarios and seize more market opportunities.
Increase conversion rate and marketing effectiveness.
Improve user experience by providing individually customized services.
Scope of use case
Utilizing AI technologies in digital marketing
Description
With economic development, consumers become more
emphatic about self-personality. Digital marketing has also
begun to focus more on the consumer's personality instead
of the commonality. Personalized digital marketing has
become increasingly important in response to the need to
provide different services to different consumers.
The combination of big data and AI algorithms is the core of
personalized digital marketing. By modelling user
preferences, we can predict the services that users may be
interested in, improve marketing effectiveness and enhance
user experience. There are three main parts of personalized
marketing technology: 1) Audience targeting: Forecasting
the people who may be interested in the marketing activities,
focusing on high-conversion probability populations to
increase conversion rates; 2) Smart subsidy: Different
marketing subsidies for different users to achieve higher
conversion rates at lower cost 3) Personalized
recommendation Predict user preferences for services or
items, and recommend to users what they are most likely to
be interested in, to increase conversion rates.
Through the application of AI technology, personalized
digital marketing has achieved very significant results: the
predicted populations conversion rates have shown an
improvement of more than 30 %; in the subsidy scenario,
personalized digital marketing has achieved a cost reduction
of more than 10 % while achieving a 2 % increase in the
conversion rate; in the coupon recommendation scenario,
the conversion rate has improved by more than 70 %.
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Machine Learning
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