Usually one of three things: case status definitions drifted, routing rules changed without reporting updates, or the team is reporting off Service Cloud directly instead of a governed warehouse layer. We diagnose which one and fix it.
Yes. Most deflection numbers are vanity. We define deflection as a deferred-or-deferred-and-resolved measurement, not a chatbot impression count. Then we wire the data so the number is honest.
Focused work runs 6 to 10 weeks. A full omnichannel cleanup with KB and warehouse integration typically runs 12 to 16 weeks.
We clean up case statuses, add the missing fields, fix the routing logic, and build reporting that follows a case from creation to resolution.
We measure what chatbot, knowledge base, or self-service flow actually deflects, and what just delays a call. Then we cut what is not working.
We unify CSAT surveys, NPS data, and case data into one reporting layer so the customer voice ties back to specific cases and agents.
We move support reporting out of Service Cloud and into Snowflake, BigQuery, or Databricks where it can be cross-joined with revenue, product, and churn data.
We rank knowledge articles by deflection rate, find the gaps, and build a reporting feedback loop so the KB stays useful.
We build agent-level dashboards that show case volume, resolution time, escalation rate, and CSAT in one place.
Most Service Cloud consultants live inside Service Cloud. We clean the data layer underneath and the reports follow.
Support data is most valuable when it is joined with revenue, product, and churn data. We do that integration as part of every engagement.
We will tell you when Service Cloud is not the right tool. Most Service Cloud consultants will not.
AI deflection, intake triage, and reply drafting on cleaned Service Cloud data.
Unify Service Cloud customer data with Sales, Marketing, and external sources.
Metric definitions and ownership for support KPIs that hold up across teams.
Service Cloud consulting: Service Cloud is the home for every customer touch. The trouble is, no one trust...
Case object hygiene, routing rules, and case lifecycle reporting.
A Service Cloud reseller pitch. We do not take licensing kickbacks.
A telephony-vendor recommendation. We work with whatever you have.
The scale of cases and channels sets the reporting and integration work.
Connecting Service Cloud to knowledge, telephony, and reporting adds work.
Inconsistent case and customer data takes more to reconcile.
Deflection and CSAT analytics are more than basic case reports.
You run Service Cloud and need trustworthy support reporting.
You want to automate support intake and replies: see Customer Support AI Automation.
You need a unified customer profile: see Salesforce Data Cloud Consulting.
Service Cloud is the home for every customer touch. The trouble is, no one trusts the case data. We fix the case object, clean the routing rules, and build reporting that tells you what is actually happening in support, in numbers your CFO will sign off on.
Salesforce Service Cloud consulting cleans up the case data behind your support operation. Service Cloud is the home for every customer touch, but teams rarely trust the case data. Thinklytics fixes the case object, cleans the routing rules, and builds reporting that shows what is actually happening in support, in numbers a CFO will sign off on.
Start with an Analytics Truth Audit. We review your Service Cloud org, find the data and routing issues, and give you a prioritized fix list.