×

A signal-driven view of Google Cloud’s addressable market

We synthesized your ICP, mapped the addressable market, and scored every account against Google Cloud’s buying signals. See below for a snapshot of your in-market accounts and top contacts.

Step 01 · Understanding ICP

We analysed how Google Cloud goes to market

Firmographics
  • 2,000–50,000 FTE, $400M–$150B revenue
  • Data-intensive enterprises running a legacy warehouse or standing up AI workloads
  • US national + Canada
Verticals
  • Retail & Consumer
  • Media, Telecom & Gaming
  • Healthcare & Life Sciences
  • Manufacturing & Logistics
Buyer Personas
  • CIO
  • CTO
  • Chief Data Officer (economic)
  • Head of AI/ML, VP Engineering, VP Analytics
Step 02 · Scoring & prioritising

Every account scored against Google Cloud’s buying signals

R1 RCM Hospitals and Health Care · 23,031 employees · Illinois
85Fit
  • Signal stack 34 / 34
  • Firmographic fit 22 / 22
  • Complexity & footprint 15 / 20
  • Technographic 4 / 14
  • Strategic geo & PE 10 / 10
What fired
  • 372 open requisitions live on the careers site
  • 3.6% technical staff against 23,031 employees, a clear capacity gap
  • CEO 10 months in seat, inside the re-evaluation window
  • Databricks, Snowflake in the stack
  • California / major US enterprise hubs HQ (Illinois)

Anatomy of a score

  • Signal stack: open requisitions, share of headcount that is technical, CEO time in seat, recent capital or M&A events.
  • Firmographic fit: employees and revenue against the ICP band.
  • Complexity and footprint: site count and headcount.
  • Technographic: Google Cloud, Workspace, AWS, Azure in the stack, plus legacy markers like On-Prem Data Center, Hadoop, Cloudera, Teradata.
  • Strategic geo and PE: California / major US enterprise hubs HQ, private equity or M&A ownership.
The secret sauce

Six signals a generic data tool cannot assemble

Landbase-native signalWhy it cannot be replicatedWhat the rep leads with
Job postings and IT-capacity gapLive reqs naming Google Cloud, Workspace, AWS, Azure or cloud platforms, measured against technical headcount. Shows who is mid-programme and short-staffed.Workspace and managed platformCompute and Kubernetes workload migration
Rival ERP and legacy stackA rival or ageing estate marks a displacement or upgrade window rather than a cold start.Legacy data-warehouse migration to BigQuery
Existing Google Cloud footprintOn-Prem Data Center, Hadoop, Cloudera, Teradata identify expansion accounts where the relationship already exists.Compute and Kubernetes workload migrationVertex AI and Gemini build-out
Leadership tenure, CIO or CFOA new CIO or CFO inside 18 months is the single most reliable window for a platform decision.New CDO or CTO
Multi-site and multi-entity complexityLocation count and entity spread predict consolidation pain.Multi-region and edge deployment
Capital events and M&AFunding, acquisitions and carve-outs force system consolidation on a deadline.Legacy data-warehouse migration to BigQueryCompute and Kubernetes workload migration
Step 03 · Building TAM

A slice of your addressable market

3,041
In-band accounts scored
2,000–50,000 employees, 4 industry suites, deduplicated on the company graph
1,051
Qualified market
Fit score 60 or above: the accounts worth working across the next several quarters
100
Tier-1 priority targets
Fit score 75 or above, from which the 100 named in this brief are drawn

What is actually true about those 100 accounts

Hiring surge95
Thin IT93
Install base85
PE / M&A signal77
Priority hub HQ49
New CEO38
Multi-site26
Legacy / EOL tech23
Recent CEO19

Each bar is how many of the 100 are firing that trigger today. Tier-1 accounts stack two or more inside a 90-day window, which is what separates them from a company that merely looks like a fit.

Step 04 · Mapping buyers to accounts

A snapshot of your accounts and buyers

25 of 100
#CompanyVerticalEmployeesRevenueSitesFit
1R1 RCMHealth & Life Sci23,031$2.3B1185
2KemperHealth & Life Sci7,013$4.8B583
3LocktonHealth & Life Sci15,145$1.3B10383
4SchneiderMfg & Logistics11,676$5.7B583
5VontierMfg & Logistics6,205$3.1B7583
6IFFMfg & Logistics15,243$10.9B10283
7Univar SolutionsMfg & Logistics9,277$11.5B1583
8Gilead SciencesHealth & Life Sci14,810$29.4B2982
9SpartanNashMfg & Logistics4,341$9.5B1782
10SkechersRetail & Consumer16,093$9.0B481
11Camping WorldRetail & Consumer7,758$6.4B781
12Dave & Buster'sMedia & Telecom13,318$2.1B10381
13Brown & BrownHealth & Life Sci13,590$5.9B10181
14XPOMfg & Logistics39,123$8.2B1381
15The Guitar CenterRetail & Consumer16,287$2.2B580
16McCormickRetail & Consumer9,223$6.8B5680
17UT Southwestern Medical CenterHealth & Life Sci19,443$3.1B2380
18KindredHealth & Life Sci13,523$7.2B380
19Ryder SystemMfg & Logistics19,547$12.7B480
20Total Quality LogisticsMfg & Logistics17,652$6.9B6480
21Grocery OutletRetail & Consumer8,084$4.7B579
22Weis MarketsRetail & Consumer7,970$5.0B579
23BrunswickRetail & Consumer9,536$5.4B3379
24Fossil GroupRetail & Consumer5,375$1.0B779
25Foot LockerRetail & Consumer11,085$8.0B579

See your full Google Cloud TAM,
scored and SDR-ready.

A 30-minute working session covering your Tier-1 accounts, the signals behind each score, and territory-ready exports for your SDRs.

Book a demo →