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Pegasystems Exam PEGACPDC88V1 Topic 11 Question 24 Discussion

Actual exam question for Pegasystems's PEGACPDC88V1 exam
Question #: 24
Topic #: 11
[All PEGACPDC88V1 Questions]

U+ Bank implemented a customer journey for its customers. The journey consists of three stages. The first stage raises awareness about available products, the second stage presents available offers, and in the last stage, customers can talk to an advisor to get a personalized quote. The bank wants to actively increase offers promotion over time.

What action does the bank need to take to achieve this business requirement?

Show Suggested Answer Hide Answer
Suggested Answer: A

Increasing stage upweighting is a feature that allows you to gradually increase the weight of a stage over time, making the offers in that stage more likely to be selected. This is useful for promoting offers that are time-sensitive or have a limited availability. In this case, the bank wants to actively increase offers promotion over time, so enabling increasing stage upweighting for the second stage of the journey, where the offers are presented, is the best option. Verified Reference: [Pega Decisioning Consultant | Pega Academy]


Contribute your Thoughts:

Adela
4 months ago
Ha! Looks like the bank is trying to get their customers to 'journey' through the offers. I wonder if they've considered a loyalty program to keep them coming back?
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Mozell
4 months ago
Hold up, are we sure B is the right answer? Wouldn't that mean the bank has to keep tweaking the model? Sounds like a lot of work to me.
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Roosevelt
3 months ago
C) Enable increasing stage upweighting for the first stage of the journey.
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Fatima
3 months ago
Hold up, are we sure B is the right answer? Wouldn't that mean the bank has to keep tweaking the model? Sounds like a lot of work to me.
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Sharita
3 months ago
B) Upweight the propensity by adding more predictors that fit the target customers and repeat this process over time.
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Jonell
3 months ago
A) Enable increasing stage upweighting for the second stage of the journey.
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Jerry
4 months ago
I'll have to go with D on this one. Constant upweighting of the second stage is the key to consistently promoting those offers, don't you think?
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Rikki
2 months ago
Maybe a combination of both B and D could work. Adding predictors and constantly promoting offers could be a winning strategy for the bank.
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Roxanne
2 months ago
I see your point, but I still believe D is the way to go. Consistently promoting offers in the second stage is crucial for customer engagement.
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Leota
3 months ago
I think B might be a better option. Adding more predictors can help target the right customers for the offers.
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Tish
3 months ago
Maybe a combination of both B and D could work well for the bank's goal of increasing offer promotion over time.
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Nada
3 months ago
I see your point, but I still believe D is the way to go. Consistently promoting offers at the second stage can be more effective.
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Ahmad
3 months ago
I think B might be a better option. Adding more predictors can help target the right customers for the offers.
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Brock
4 months ago
I think a combination of both options A and B could be beneficial for the bank to achieve its business requirement.
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Carla
4 months ago
I believe upweighting the propensity by adding more predictors is also important. This will help the bank better understand the target customers.
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Felicidad
4 months ago
I agree with Bernadine. By focusing on the second stage, the bank can target customers who are already interested in the products.
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Bernadine
4 months ago
I think the bank should enable increasing stage upweighting for the second stage of the journey.
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Valentine
4 months ago
C seems like the obvious choice here. If you want to raise awareness first, then you can move on to the offer stage. Simple and effective!
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Gertude
5 months ago
Hmm, I think B is the way to go. Increasing the propensity with more relevant predictors sounds like a smart move to boost offer promotion over time.
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Nenita
3 months ago
Definitely, it will help in boosting offer promotion over time.
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Evette
4 months ago
I agree, adding more predictors for target customers seems like a good strategy.
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