Customer Insights

Our Customer Insight Services.

In Customer Insights we use methods of predictive analytics to increase the relevance of your customer communication and thus ensure its long-term success.

Data Preprocessing

Goal: Ensuring
consistent & representative
data basis. more…

Predictive Services

Goal: Determining the most attractive offers per customer or the best fitting customers for an offer. more…

Optimization Services

Goal: Determining the preferred shipping channel or the optimal shipping time per customer & channel. more…

Clustering Services

Goal: Scoring and dynamic clustering of individual customers based on their purchasing behavior. more…

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The knowledge leading
our way represents our expertise.

In Customer Insights, we use predictive analytics methods to increase the relevance of your customer communication and thus ensure its long-term success.

Our Customer Insights Services are designed to analyze each of your customer relationships and to use this information to gain predictive power for future touch points. Thus, you receive answers to recurring campaign management questions:

Which products will be in demand from customers in the future?
Which customers have a high affinity to the advertied products?
How can the reach and effectiveness of marketing campaigns
to be increased?
Which strategies can be used to influence future customer behavior?

Customer Insights – relevant and optimized customer communication.

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We’re here for you.

Your advantage.

In order to use our services, much of your existing data can be used right away. Next to turnover and demographic customer data, article master data and response data of previous marketing campaigns can be very helpful. We provide well prepared solutions but are able to take your individual requirements into account as well!

With Predictive Analytics help you are able to provide you products and services on a foresighted and customer specific basis. What sounds like a lot of work and intensive care can routinely be mastered by AIC Group’s Marketing Automation Software aisuite. Indeed, communication strategies have to be developed and the campaign-mix has to be aligned correspondingly – but as soon as the campaigns have been set in the system, your customer dialog is running in automation and always up to date!

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Translations: Versandzeit Optimierung = Shipping time optimization, Kanal Optimierung = Channel optimization

Raw Data

Master, transaction and
tracking data

Data Quality
Assessment

Handling of missing or
inconsistent data

Feature Engineering

Preparation and consolidation
of the available data

Feature Selection

Selection of the most
relevant data fields

Training Data

Consistent and representative
data basis

Space of advertising mailings is often limited and marketing campaigns suffer of stray based on different customer requirements. Our recommender model allows assigning of an individual offer selection – of a predefined offer pool – for every customer based on his preferences. Up to 100 offers can be assigned per customer.

Additionally, it’s possible to ensure quality of recommendation by further intuitive setting parameters. Our recommendations can be calculated for offers consisting of several as well as single articles, making it possible to use the Recommendation Engine independently from aisuite.

Translations: Nachricht = Message, Kundenprofil = Customer profile, Angebote = Offers, Autorisierte Kanäle = Authorized channels

Translations: Nachricht = Message, Angebot = Offer, Kundenprofile = Customer profiles, Autorisierte Kanäle = Authorized channels

Our recommender model supplies answers to limited marketing budgets, end of line sales or targeted promotion of new articles. Based upon a predefined target group quantity, the desired number of customers are determined whose profiles have the highest affinity to the advertised offer. This maximizes sales opportunities of advertised articles and ensures efficient use of limited budgets.

With individually configurable parameters, you gain customized campaign solutions with this service as well. Based on the same methodology as the Next Best Offer approach, fitting customers can be found for an offer or even for individual articles.

Free PDF of TwoPager for download.

(available only in German at this time)

Today, customers can be reached through numerous channels. However, preference of a particular channel is very individual. Some customers regularly read their e-mail, others let newsletters disappear among others and are never opened – but these customers might very well be active on WhatsApp.

Nevertheless, the most-used channel might not be the customer‘s top-selling channel. With our channel optimization, customers are always contacted by the channel they currently use the most and by which they also generate revenue. Of course, each campaign remains individually configurable for you, whether you’d like to use channel optimization or a channel defined by you.

Translations: Nachricht = Message, Kundenprofil = Customer profile, Angebote = Offers, Autorisierte Kanäle = Authorized channels, Kanal Optimierung = Channel optimization

Translations: Nachricht = Message, Kundenprofile = Customer profiles, Autorisierte Kanäle = Authorized channels, Versandzeit Optimierung = Shipping time optimization, Terminierung = Termination

Many customers have daily routines, but these are very individual. While some customers read their emails in the morning before work, others might not be addressable before the evening. This might vary from channel to channel as well.

This is why our delivery time optimization identifies the optimal time to address each channel and customer. This way, even without channel optimization, every customer can be contacted at the exact time he has shown the most activity on this channel lately. Usage of delivery time optimization remains individually configurable for you as well.

In order to send out campaigns in a more target-oriented manner, it is recommended to get to know your customers better first, requiring a qualitative grouping of your customers. For example, your top customers may react differently to advertising measures than your new customers or customers who are in danger of leaving.

Our RFMR Scoring provides the solution to this problem. RFMR stands for recency, frequency and monetary ratio and differentiates your customer base according to exactly these criteria: When did the customer‘s last purchase take place, how often does he make purchases and what revenue is being generated by him? Thanks to our calculation algorithms, these customer values are always adapted to your needs and up to date.

Translations: Kaufverhalten = Buying behaviour, Analyse = Analysis, Einzelscores = Individual scores, Gesamtscore = Total score

Translations: Dynamische Kundencluster = Dynamic customer clusters, Kundenscores = Customer Scores, Einzelzuordnung = Individual assignment, Gesamtzuordnung = Total allocation

RFMR scores provide a solid data basis for clustering your customers and determining the segments mentioned above. Value ranges of qualitative segments sometimes differ significantly depending on data structure, thus they should not be determined statically but calculated dynamically. We provide a solution for that issue as well: Our dynamic clustering algorithm adapts your customer’s behavior and thus always creates optimal customer segments.

In addition to RFMR values, other customer characteristics can also be taken into account by our algorithm – such as touch point activities, length of stay or demographic data. There is plenty of information of the customer that can be relevant for the calculation of customer value or the assignment to a customer cluster.