| Qtech Solution’s
data modeling team extracts data from client’s customer
database and perform analysis on them to come up with models
like spend model, attrition model, risk model and respond models.
These models helps our clients in h aving
a better understanding of their customer profiles and also frame
strategic offers and promotional campaigns. |
|
Response
modeling for credit card campaigns helps the client in determining
the characteristics of potential customers. The cost of direct
marketing campaign is directly proportional to the number
of prospects being targeted, but only those prospects that
actually accept the offer contribute to revenue. Qtech Solution’s
SAS team will come up with a response model so that the client
can identify the most likely buyers prior to spending time
and money communicating with prospects. Contacting only a
fraction of prospects who are most likely to purchase will
results in lower direct marketing expenses and better response
rate, and therefore increases profit. Our team also automates
the process of aggregating and transforming unstructured data
into the structured formats required for data modeling. |
Qtech
Solutions modeling team comes up with a spend model from the
customer database of our client studying the spend patterns
in order to predict future spend behavior. Our team will conduct
a detailed spend diagnostic to identify and segment customer
spend data into different segments based on geographic, industry
or cost categories as per the client’s needs. This model
will assist in the client in designing a marketing campaign
that grabs attention and target the right audience. Qtech
Solution’s spend model helps clients increase productivity,
reduce costs, improve risk profiles and gain greater insight
through enhanced reporting capabilities.
Qtech Solution’s modeling team comes up with attrition
models to identify and retain profitable customers. Our team
tracks the customer database and brings a good understanding
of customer behavior along with timely, targeted strategies
to reach potential retainers with the right offer at the right
time. We use SAS to build the models to contact the customer
when the customer expects our client to contact them. |
| As credit card outstandings
have become the fastest growing proportion of consumer debt,
the application of risk assessment models to regulatory capital
requirements is a particularly relevant issue for card issuers.
Qtech Solution’s SAS team will study customer credit details
including FICO scores along with behavioral information. This
will also help in making a decision on future payment performance
early enough to have a positive impact on revenues. |
Qtech
Solution’s credit score modeling team comes up with
a model to identify accounts with good and bad credit risks.
The accounts falling in the middle range is taken for more
detailed review. Thus we assist our clients to come up with
a more intensive and less time consuming credit card strategic
campaigns. |
