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Our pride and joy: Successful customer projects from the last 10 years

Benefit from our tried and tested best practices that we have implemented in 250 projects with our customers along the customer lifecycle.

Select your industry:

4.000 ADDITIONAL APPOINTMENTS

through automated geo targeting after only 6 months

CHALLENGE

  • Interested parties are not forwarded directly to the appropriate broker
  • High Google AdWords costs per keyword
  • Improve appointment scheduling with the closest customer advisor

APPROACH

  • Optimization of the landing page per keyword, campaign and device of the visitor
  • Use of new landing pages with direct contact to a customer advisor

PROCEDURE

27% More CREDIT CARD CONTRACTS

through multi-channel optimization

CHALLENGE

  • Acquisition of new customers through all existing marketing channels
  • 80% visitors via mobile devices
  • The conclusion should be made directly via the landing page without an application path

APPROACH

  • Use of a neural network algorithm to process all channel information
  • Development of dedicated mobile landing pages
  • Integration and transmission of all form data on the landing page

PROCEDURE

INCREASE IN NEW CUSTOMER ACQUISITION

for credit cards and giro accounts

CHALLENGE

  • High AdWords costs and high competition in the market
  • Manual adjustment of landing pages for over 100 variants

APPROACH

  • With the machine learning algorithm, the segmentation & assignment to an optimal landing page variant for the visitors is automated
  • Optimization based on search term, visitor’s channel, frequency of visits and device
  • Key message and key benefits placement on the landing page in real time

PROCEDURE

AI IN ACTION:

additional increase through neural networks

CHALLENGE

  • Additional increase in completion rates with existing setup required
  • Further increase of the conversion rate without manual effort

APPROACH

  • Additional use of a neural network/AI to process additional visitor information
  • Refined placement of the landing pages through expanded visitor interest information – in real time

PROCEDURE

50% ADDITIONAL PRODUCT INQUIRIES

CHALLENGE

  • No target group-specific display of product pages
  • Inefficient transition from product page to application path, low conversion rate

APPROACH

  • Development and algorithmic placement of target group-specific product pages per device, campaign and day of the week
  • Integration of computer elements for all relevant products

PROCEDURE

ACTIVATION AFTER WELCOME

CHALLENGE

  • Automation of customer activation
  • Activate customers who became inactive or never became active after the welcome campaign

APPROACH

  • Different incentives for different customer profiles are sent by email
  • Additional optimization of the best image + text address per customer using machine learning

INCENTIVATION OF CARD USE

Cross & Upsell Merchant Categories

CHALLENGE

  • Incentivizing the use of the card through category-based email
  • Credit card upsell to premium card
  • Cross-sell of partner offers

APPROACH

  • Based on the transaction data, personalized information and incentives in the form of competitions, cashback or similar are sent to the customer via mail at the right time
  • Therefore, the system calculates the same and next best category

BEISPIEL

Customers use the card a lot in the area of ​​”Eating & Drinking” and receive information about partner offers and, in addition, the advantages of a premium card in case they have the standard card

CROSSSELL OF CREDIT CARDS & PRIVATE CREDIT

by analyzing the transactions on the giro account

CHALLENGE

  • The client already has very good customer penetration
  • Problem: Many customers were addressed with new products, but the right time and right channel were not always optimized but show great potential. The postal channel is also still very important for many customers

APPROACH

  • Analyze customer behavior based on the data + calculate completion probabilities per customer
  • Communicate offers individually (time & channel)
  • Merging of master, account and transaction data (current account)
  • Send offers to the right customers at the right time via credit card or personal loans

INCREASE IN PARTNER SALES

CHALLENGE

  • For the customers of the bank, an ecommerce marketplace in the app is a novelty
  • The world of advantages contains voucher codes and should be more in focus in order to further strengthen the business model

APPROACH

  • Based on the current account transactions, users receive tailored offers in the app via the world of advantages.
  • Optionally, personalized emails with offers can be sent

IMPROVING APP RATING

IN APPLE APP STORE AND GOOGLE PLAYSTORE

CHALLENGE

  • Increase rating in the app store and play store

APPROACH

  • Measurement of “moments of success” in the app
  • Automatic dispatch of NPS surveys if a “moment of success” has been reached
  • Direct in-app message as to whether the user would like to rate the app if his NPS is above 7

INCREASE ACCOUNT ACTIVATION RATE

IN THE APP AND WEB PORTAL

CHALLENGE

  • Many users register for the app, but do not immediately connect a bank account and thus remain inactive

APPROACH

  • Merging of the master data, app usage data & payment flow data of the customers
  • Automatic detection of inactive new customers
  • Automated & personalized addressing of inactive customers at the right time in the customer journey

PROCEDURE

UPSELL INSURANCE PRODUCTS

CHALLENGE

  • The client is a broker pool with many affiliated brokers who mostly sell via on-site visits and telephone
  • Many brokers still work manually today and without structured and automated digital sales for existing customers

APPROACH

  • Intelligent merging of CRM and product data & analysis of potential as well as target group selection
  • Automated multi-stage email sending to customers who fit into the appropriate segment for motor vehicles, private health insurance, tooth accessories, etc.

20% INCREASE IN CONVERSION RATE

by personalization of the application path

CHALLENGE

  • Campaign themes are not displayed on the landing page
    Inefficient transfer from the landing page to the application process, no optimization per device of the visitor

APPROACH

  • Development of topic-specific landing pages
  • Display of the optimal combination of landing page and application path for each campaign, device and context of the visitor through artificial intelligence

PROCEDURE

INCREASE CONTRACT EXTENSIONS IN THE CUSTOMER PORTAL

CHALLENGE

  • Customers should switch directly to higher packages when extending their contract, e.g. due to data volume

APPROACH

  • Using the CRM data, every customer is scored and Adtelligence processes the trigger and plays the crossell at the right place

PROCEDURE

CROSSSELL OF PARTNER CARDS IN THE CUSTOMER PORTAL

CHALLENGE

  • Ideally, customers automatically extend the contract in the customer portal and buy additional products at the same time. The partner card in particular increases the CLV significantly

Approach

  • Optimization of the customer experience through x variants
  • Connect CRM to directly process suitable tariff recommendations
  • Automatic display of the partner card at the right point of the sales process and optimization through machine learning algorithm

PROCEDURE

21% MORE CONTRACTS THROUGH MARKETING CHANNEL OPTIMIZATION

CHALLENGE

  • Despite high expenses for online marketing, no increase in online sales is noticeable
  • High abandonment rate in the application process for mobile devices
  • No consideration of the visitor segment

APPROACH

  • Development of device-optimized variants of the product page and the application process
  • Use of an AI algorithm for the optimized display of product pages and application path combinations
  • Processing of visitor information from the marketing channel

PROCEDURE

INCREASE IN CONVERSION RATES FOR GOOGLE SHOPPING ADS

CHALLENGE

  • Only one product detail page for all categories
  • No target group-specific display of product detail pages for Google Shopping ads
  • No consideration of the number of visits

APPROACH

  • Development of target-group-specific product detail pages with a focus on the category
  • The machine learning algorithm displays the product detail pages for each device, marketing channel and context of the visitor
  • Different focus on CTAs depending on the number of visits

PROCEDURE

OPTIMIZATION OF THE ORDER VALUES

CHALLENGE

  • Order and income values ​​per purchase are too low
  • Free shipping incentive with minimum order value is not used

APPROACH

  • Creation of product pages and shopping cart variants
  • Display of the remaining amount until free delivery
  • Decrease of the abandonment rate through “To cart” and “To checkout” sticky elements

PROCEDURE

OPTIMIZATION OF PRODUCT SEQUENCES THROUGH MACHINE LEARNING

CHALLENGE

  • High costs and keyword prices on Google AdWords
  • New customers are mainly won through Google
  • There is hardly any potential for conversion optimization via online marketing

APPROACH

  • Optimization of the product sequences on overview pages
  • Use of a machine learning algorithm to determine the optimal product sequence for each campaign, search term and device
  • Automatic determination of the optimal variants for each visitor segment

PROCEDURE

INCREASE IN REGISTRATIONS WITH ADTELLIGENCE MACHINE LEARNING

CHALLENGE

  • Very high number of different landing pages
  • Manual A/B Testing is not feasible
  • No usage of visitor interests per affiliate partner

APPROACH

  • Optimized placement with a machine learning algorithm
  • Optimized placement of the landing pages depending on the affiliate partner, device and language
  • Automatic determination of the optimal variants for each visitor segment

PROCEDURE

INCREASE IN REGISTRATIONS WITH ADTELLIGENCE MACHINE LEARNING

CHALLENGE

  • Processing of very high visitor traffic
  • Manual A/B Testing is not feasible
  • No usage of visitor interests per affiliate partner

APPROACH

  • Development of new landing pages with dynamic areas for multivariate testing
  • Optimization of placement by using a machine learning algorithm for each affiliate partner and device
  • Automatic determination of the optimal variants for each visitor segment

PROCEDURE

INCREASE OF THE CONVERSION RATE BY OPTIMIZING THE ENTIRE USER JOURNEY

CHALLENGE

  • All visitors receive a static page for product details, shopping cart and final route
  • Current campaigns and discounts cannot be prominently communicated
  • The shopping cart and the conclusion path do not show the selected products

APPROACH

  • Creation of two landing page variants with dynamic areas for each the shopping cart and conclusion path
  • Playout of the optimal combination of the variants depending on the campaign, device and login status through the machine learning algorithm

PROCEDURE

MORE SALES BY OPTIMIZING THE PRODUCT OVERVIEW PAGES FOR TARGET GROUPS

CHALLENGE

  • A static category and product detail page for all target groups from Facebook campaigns
  • Facebook target groups are not used for optimization
  • Low conversion rate for FB campaigns

APPROACH

  • Creation of target group-specific landing pages with dynamic areas
  • Transmission of product feed and Facebook campaign information to the Adtelligence platform
  • Determination and placement of the landing pages by combining the optimal dynamic content for each target group and device

PROCEDURE

1-TO-1 PERSONALIZATION WITH FACEBOOK CUSTOM AUDIENCE TARGETING

CHALLENGE

  • No optimization of the product order for Facebook ad clicks
  • Facebook target groups are not used for optimization
  • Low efficiency of Facebook ads

APPROACH

  • Visitor information (Facebook target groups) is transferred to the Adtelligence platform in real time
  • Automatic determination and display of the optimal product sequence using the machine learning algorithm
  • Beforehand training of the algorithm with historical transaction data in order to directly guarantee an optimized delivery

PROCEDURE

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