Duplicate customers everywhere
Entity resolution never happened, so segment sizes, LTV and churn rates are all computed on inflated, fragmented records.
By role · Marketing
One customer,
One customer,
not five records
The same customer exists five times across CRM, billing, support and web analytics. SCIKIQ resolves them into one golden record — so churn scores, lifetime value and campaign attribution are computed on a customer that actually exists.
20+enterprise deployments in production
187+connectors across CRM, billing and web
60days to a live 360 view, typically
1golden record per customer
01A day in the role
What the CMO sees
on a Monday morning
One governed brief instead of nine dashboards — every number traced to its source system, every recommendation showing its reasoning.
Good morning, MeeraMonday · 9:00 AM
Customer health88▲ 5AI confidence92%Agents working7liveDecisions need you2
Today’s brief
Qualified pipeline is running 14% ahead of the quarterly target.
Growth came from the mid-market segment after entity resolution merged 40,000 duplicate records, which corrected both segment size and lifetime value. Two enterprise accounts show early churn signals.
If only one decision is made today, launching the save play on the two at-risk accounts is expected to protect the most revenue.
Confidence92%
Customer health
- Qualified pipeline+14.2%Ahead of target
- Lifetime value+8.1%Post-dedup, accurate
- Churn risk+3.4ptTwo accounts
- Acquisition cost− 11.7%Attribution fixed
- Campaign ROI+16.0%Segments cleaner
- Engagement+4.2%Steady
What changed
- Duplicate records − 40,100Entity resolution merged five source systems
- Segment accuracy +22ptGolden record corrected inflated counts
- Renewal risk (Acme) $800KUsage down 22% since the sponsor left in April
- Mid-market pipeline +$1.6MTwo campaigns entered proposal stage early
- Attribution confidence +18ptWeb, CRM and billing now resolve to one customer
- Cost per qualified lead − 14%Spend shifted to the corrected segments
Decisions
Launch the save play on two at-risk accounts
Protects$1.4M ARR
Confidence93%
WindowWithin 10 days
Rebalance spend to mid-market
Impact+$620K pipeline
Confidence86%
WindowThis week
AI reasoning — why the save play?
- Both accounts lost their executive sponsor within 60 days
- Usage decline began before renewal conversations started
- The intervention window closes 10 days out on comparable accounts
- 38 similar plays retained 71% of at-risk ARR
Recommendation Launch today.
AI has been working
- Resolved 40,100 duplicate customer records
- Scored 127 accounts for churn signal
- Recomputed LTV on the corrected golden records
- Simulated three spend reallocation scenarios
- Traced attribution across web, CRM and billing
- Generated the segment performance briefing
WhyTwo accounts show the earliest churn pattern in the book
Why nowComparable saves lose 3x effectiveness after 10 days
Evidence38 similar plays retained 71% of at-risk ARR
Confidence93% · based on 6 quarters of renewal history
AlternativeWait for the renewal call — models 41% retention
Ask me anything — or tell me the outcome you’re trying to achieve
Illustrative CMO view · sample data
02The problem
What the CMO actually deals with
Attribution nobody trusts
Campaign performance depends on which extract you pulled and when, so the number changes between meetings.
Insight arrives too late to act
Churn signals surface in a monthly report, well after the window where a save action would have worked.
03What changes
One governed view,
and four things follow
01
Resolve the customer
Dedup and match across CRM, billing, support and web analytics produce one golden record, with lineage showing which system each attribute came from.
02
Define the metrics once
LTV, churn and engagement get one governed definition, so marketing, sales and finance stop reconciling different versions.
03
Ask in plain language
The copilot answers questions about segments, churn and campaign performance from governed data rather than a dashboard average.
04
Trigger the save
Agents surface churn risk and next-best action while the signal is still current, and can trigger the workflow directly.
04What it runs on
Built on Customer 360
This role runs on Customer 360 — golden record, churn and lifetime value — assembled over your existing systems with no replatform.
- Retail — demand, assortment and loyalty in practice
- Data Product Factory — package audience segments as governed products
Want to see this on your own data?
Thirty minutes on your actual sources — no pitch, no form maze.
Frequently asked questions
What makes SCIKIQ's Customer 360 different from a CDP?
A CDP typically assembles marketing profiles. SCIKIQ resolves the customer entity across the whole enterprise, including billing and support, and governs it in a semantic layer that finance and operations use too, so there is one customer definition rather than a marketing-only one.
How does entity resolution work across our systems?
Dedup and matching run across CRM, ERP, billing, support and web sources to produce one golden record, with full lineage back to each contributing system so a match can always be inspected.
Can the copilot answer marketing questions directly?
Yes. Because queries resolve against governed metric definitions rather than raw tables, answers about churn, segments and campaign performance are consistent and traceable.