This contact list is best navigated by combining filters for role, company, geography, and status to uncover targeted sales opportunities. Use role filters to identify technical buyers (Engineers, Analysts), field operators (Foremen, Operators, Supervisors), and decision makers (Managers, Superintendents). Company filters help prioritize major operators like OXY, Chevron, BPX, and Devon for enterprise account targeting, while city filters reveal regional activity hubs such as Houston for corporate/engineering teams and Midland for field operations. The status filter is especially valuable for identifying new hires and updated contacts that may signal expansion, operational changes, or new vendor opportunities. Combining these filters allows sales teams to build focused market research segments and highly targeted outreach campaigns.
For sales-focused market research, the best approach is to use the filters to progressively narrow the list from a broad market view into highly actionable buying groups.
Here’s a practical workflow that works well for oil & gas sales teams.
1. Start With the Role Filter First
The role filter is your fastest way to identify:
- technical buyers
- influencers
- field users
- operational decision makers
Best Roles by Sales Objective
| Objective | Best Roles |
|---|---|
| Sell technical products/services | Engineer, Lead, Analyst |
| Sell field services | Foreman, Supervisor, Superintendent |
| Sell software / SaaS | Engineer, Manager, Analyst |
| Sell production optimization | Operator, Engineer, Superintendent |
| Sell facility / infrastructure services | Manager, Superintendent, Foreman |
| Identify operational pain points | Operator, Foreman, Supervisor |
| Find budget owners | Manager, Superintendent |
| Identify champions | Lead, Engineer |
2. Use Company Filters to Build Target Accounts
This list already shows where activity concentration exists.
Tier 1 Accounts
High record count = larger operational footprint.
Examples:
- OXY
- Chevron
- BPX
- Devon
- Shell
- ExxonMobil
These are ideal for:
- enterprise prospecting
- ABM campaigns
- strategic targeting
- regional sales mapping
Mid-Tier Opportunity Accounts
Filter for:
- 25–100 contacts
- regional operators
- independents
These are often easier to penetrate than majors.
3. Use City Filters to Build Regional Strategies
This is one of the most underused filters in sales research.
Houston
Best for:
- corporate decision makers
- procurement
- engineering
- strategy
- digital transformation
Midland / Midland-Odessa
Best for:
- field operations
- drilling
- completions
- production optimization
- service adoption
Oklahoma City
Strong for:
- Anadarko operators
- production teams
- field engineering
Denver
Good for:
- Rockies
- DJ Basin
- upstream analytics
- ESG/monitoring tech
4. Combine Filters for High-Value Segments
This is where the list becomes powerful.
Example Filters
A. Permian Production Optimization Targets
Filter:
- Role = Engineer + Foreman + Superintendent
- City = Midland
- Status = New + Update
This creates a strong operational targeting list.
B. Digital Oilfield / SaaS Prospects
Filter:
- Role = Engineer + Analyst + Manager
- City = Houston
- Company = Majors
Great for:
- software
- AI
- monitoring
- automation
- geosteering
- analytics
C. Immediate Expansion Opportunities
Filter:
- Status = New
- Role = Manager OR Superintendent
These often indicate:
- hiring
- restructuring
- new projects
- operational growth
Very valuable for timing-based outreach.
5. Use the Status Filter Strategically
Most people ignore this.
New
Best signal for:
- new hires
- promotions
- company expansion
- changing operational priorities
These contacts are often:
- building vendor relationships
- evaluating tools
- more open to conversations
Update
Strong indicator of:
- job changes
- role changes
- organizational movement
Great trigger for:
- re-engagement campaigns
- “noticed your new role” outreach
Unchanged
Best for:
- stable account penetration
- long-term nurture campaigns
- relationship mapping
6. Build “Operational Clusters”
One of the best market research techniques:
Filter by:
- company
- city
- operational role
Then map:
- Engineers
- Foremen
- Supervisors
- Managers
This reveals:
- operational structure
- likely reporting chains
- field vs corporate distribution
- concentration of activity
Example:
If Chevron has:
- many Midland engineers
- many foremen
- many supervisors
…it likely signals active field development programs.
7. Use Role + Geography to Infer Activity Type
This is very useful in oil & gas.
More Engineers in Houston
Usually indicates:
- planning
- facility engineering
- digital initiatives
- corporate projects
More Foremen/Operators in Midland
Usually indicates:
- active production
- drilling
- field execution
- completions
More Analysts
Often indicates:
- optimization
- production analytics
- emissions tracking
- digital transformation
8. Create “Sales Plays”
Instead of random outreach, create targeted plays.
Examples:
| Play | Filters |
|---|---|
| Permian Artificial Lift | Midland + Engineer + Superintendent |
| Facility Construction | Houston + Manager + Supervisor |
| Water Handling | Operator + Foreman + Permian cities |
| AI / Monitoring | Analyst + Engineer + Houston |
| Production Chemicals | Operator + Lead + Devon/OXY/BPX |
9. Prioritize by Concentration
High contact density often equals:
- active operations
- larger budgets
- ongoing programs
- multiple departments
A company with:
- 300+ production contacts
- spread across multiple cities
- many supervisors/managers
…is usually worth building a dedicated account strategy around.
10. Build “White Space” Research
One advanced technique:
Compare:
- companies with many engineers
vs - companies with few operational managers
This can reveal:
- outsourcing models
- growth gaps
- organizational transitions
- potential vendor dependency
Very useful for strategic sales positioning.
Recommended Starting Filters for Fast Wins
Best Overall Operational Target List
- Role = Engineer + Foreman + Supervisor
- Status = New + Update
- City = Midland + Houston
Best Enterprise ABM List
- Company = Top 10 operators
- Role = Manager + Engineer + Superintendent
- City = Houston
Best Field Sales List
- Role = Operator + Foreman
- City = Midland-Odessa
- Status = Update
Best Technology Adoption List
- Role = Analyst + Engineer
- City = Houston + Denver
- Status = New
The strongest strategy is usually:
- Filter by geography
- Narrow by operational role
- Prioritize by status change
- Group by account
- Build targeted messaging around operational context
