Personalization is vital to a guided buyer expertise. It helps construct belief, foster relationships, and allows a deeper reference to clients.
At Cisco, we have now been making an attempt to assist our clients alongside every step of their post-sale expertise for almost a decade. And as a key a part of that have, we would like our clients to have extra management over what communications they obtain – a extra intentional step in the direction of the proper message, proper individual, proper time objective that we’re all striving to realize.
Earlier than we might start, we took a radical stock of what precisely the post-sale expertise for purchasers as we speak regarded like.
Evaluating a disconnected buyer expertise
Through the years, we’ve constructed a number of packages the place clients might join varied post-sale notifications to assist information them on their path to success – however they have been fragmented and lacked transparency.
For example, a buyer might entry a hyperlink through an e-mail the place they may enroll or unenroll from a selected Cisco product structure. There was no option to entry the hyperlink once more if the shopper modified their thoughts after unenrolling. It additionally was not completely clear to the shopper precisely what they have been unenrolling from.
Equally, a buyer might enroll in a digital journey from a kind on the principle web site, Cisco.com, however they may not see what else they have been subscribed to. There have been 6+ packages of this nature that developed through the years – every designed to assist present the shopper extra management over their expertise, however missing a vital ingredient – transparency.
Thus, started an initiative to construct a Notification Heart that was versatile, centralized, and customized only for what a buyer was eligible to obtain. One software for a buyer to rule their post-sale expertise.
Rooted in analysis
We constructed the Notification Heart collaboratively with our buyer analysis and design group, evaluating all of the totally different current packages we had, we outlined MVP parameters that might allow us to evolve the info mannequin to assist a extra cohesive expertise. We experimented with design, naming conventions, login experiences and extra. Each bit of suggestions helped our design group iterate and finally finalize the MVP necessities so our Orchestration & Notification group might construct out the digital expertise.
The analysis in addition to session with Forrester served as the inspiration and guiding rules as we went by way of the event course of. These rules included:
- Construct an expertise that fosters belief and respects buyer privateness and selections
- Acquire solely knowledge we will act on – don’t accumulate pointless knowledge
- Design scalability and adaptability, between MVP to future platforms
- Design consistency
- Configurable UI that may be customized primarily based off of buyer eligibility for services
- Versatile knowledge mannequin that may deal with altering services
- Strict adherence to Cisco knowledge safety and privateness requirements
The brand new interface replaces two of our earlier knowledge assortment buyer experiences that have been linked in our emails. Now clients have full entry to:
- View all subscriptions related to their e-mail
- Activate/Inactivate subscriptions for Renewals, Providers, and Undertake Emails on the Use Case or Answer stage
- Proceed to appoint contacts for respective subscriptions
- Present suggestions on the expertise on to the expertise design group
This new system helps all of our vital integrations with Snowflake, Salesforce Advertising Cloud (SFMC), Cisco Single Signal On, and it may be built-in throughout different channels as nicely.
Implementation Adjustments
This new strategy to subscription administration not solely reworked the front-end buyer expertise, however it additionally modified the granularity of information we have been gathering. To allow it, we designed a completely new back-end course of to assist the front-end software. We additionally needed to make some important modifications to the info mannequin and our customized actions in SFMC.
- The Notification Heart UI, constructed on an SFMC Cloud Web page, is supported by a Python-based Flask API, performing as an middleman connecting the front-end with the backend database.
- We made the strategic resolution to make use of PostgreSQL as our backend database, hosted on Google Cloud Platform’s Cloud SQL occasion, to interchange SFMC’s native Knowledge Extension for storing buyer selections and Customized Exercise log knowledge. We selected this due to the superior knowledge capabilities, indexing choices, ACID compliance for knowledge integrity, set off assist, and scalability.
- The database shift considerably lowered our reliance on SFMC as a database. This modification decreased the general variety of SFMC API calls from 18 to 13 and elevated the Customized Exercise processing effectivity from 52 to 70 requests per second whereas concurrently decreasing latency from 60 seconds to roughly 13 seconds.
- Digital journeys executed by way of SFMC beforehand had Cisco product structure stage entry standards, that means clients certified for journeys in the event that they purchased a specific product. With the introduction of Notification Heart knowledge, we’re mapping on the use case stage, so we will construct our journey segments primarily based on the actual cause a buyer purchased a product. This transition has elevated the granularity of our knowledge whereas enabling a extra customized buyer expertise.
- Moreover, we enabled a day by day sync between the Notification Heart buyer database and Enterprise Use Case Eligibility knowledge to make sure Notification Heart UI shows content material in accordance with every buyer’s eligibility standards for a selected use case.
What’s Subsequent
Publish-MVP launch, we plan to broaden our choices to interchange the remaining disconnected packages. We additionally wish to broaden what we will assist with Notification Heart to incorporate notifications despatched by totally different groups, language choices, channel choices, notification frequency, and progressive profiling.
The granularity of information that this expertise permits us to gather can even assist enhance our knowledge threading for purchasers, empowering more practical knowledge science. That is an thrilling first step into a way more customized expertise for purchasers.
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