partnered
Loyalty says it all. You have collected customer data. So you know if, when and why churn or x-or upsell occurs. The program totally depends on (your) data infra and channel knowledge. Sorry. No standards apply combining it all. Custom made is still the drill. And f.i. call/contact center agents with access to multiple (contact history) sources. However. From statistical analasis you can provide outbound target lists (all channels) But from inbound, all data needs to be at hand. Still a challenge mostly.
If it is one channel the game is easy. All is available on the market. But it will just deliver part of the cake.
Implementing programs from rust to platinium just, again, rely heavily on cons data. The program is not important. The input is.
Implementing programs from rust to platinium just, again, rely heavily on cons data. The program is not important. The input is.
All systems in any organisation are collecting cons. data. Combining that needs interfacing. Old Legacy systems and the best web infrastructure. need to work together. That is the real challenge.
Lotalty programs I ve seen in telco are points and tiers and partnering together, but the problem is more strategic regarding loyalty programs.. many strategists call for stopping investment only heavy loyalty programs ” partnering, cross loyalty..” the return is not enough to justify the efforts behind and moreover not easy to evaluate that return.
For ecommerce I rather advise for points based or max tiers models. Akso let’s make sure we are talking aboue loyalty not revenue stimulation and growth management involving cross-sell, up-sell.
Points. The self developed system never caught much usage and the points liability on the balance sheet was a pain in the neck. We switched to a multi vendor program which was more attractive to users but also more expensive. One of the advantages is that you may get enriched data from other vendors and more marketing visibility through the partner program.
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