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The fastest way to measure public opinion
Data-driven insights. Human-powered strategy.
Know what people think. Change what they do.
Research that moves at the speed of your mission

Polling & Research

Benchmark studies, tracking polls, and issue research

Modeling & Analytics

Predictive models and voter targeting

Voter Contact

SMS, video texting, and digital town halls

Standard Benchmark Study
Sample Campaign  |  January 15-19, 2026  |  n=1,570 Likely Voters  |  MoE +/-2.5%
Candidate Images
Favorability ratings for tested candidates
Favorable
Unsure
Never Heard
Unfavorable
Net Favorability
Johnson
+7
Anderson
+7
Smith
+3
Roberts
-3
Franklin
-2
Ballot Scores
If the election for U.S. Senate were held today, who would you vote for?
Smith (R)
43%
Roberts (D)
40%
Franklin (I)
3%
Undecided
14%
Crosstab Breakdown
DemographicSmith (R)Roberts (D)Franklin (I)Undecided
Most Important Issues
What is the most important issue facing your community today?
Crosstab Breakdown
DemographicEconomyImmigr.HealthEduc.CrimeTaxesEnviro.Other
Message Testing
After hearing each message, are you more or less likely to support the candidate?
More Likely
No Difference
Less Likely
Top Performing Messages
53%
Tax Cuts
More Likely to Support
50%
Border Crisis
More Likely to Support
49%
Bureaucrats
More Likely to Support
Regression Analysis
Message effects on vote choice (logistic regression coefficients)
MessageCoefficientStd Errorp-valueSignificance
Tax Cuts0.4120.0870.001***
Border Crisis0.3810.0910.003***
Bureaucrats0.2940.0940.012**
Antisemitism0.2270.1020.026**
Tariffs-0.0480.0980.624n.s.
Domestic Drilling0.0110.0990.912n.s.
Double Talk-0.1020.0960.287n.s.

*** p < 0.01   ** p < 0.05   n.s. = not significant

Informed Ballot
Ballot numbers after message exposure (movement from initial ballot)
Smith (R)
47%
Roberts (D)
38%
Franklin (I)
3%
Undecided
12%
Smith: 43% -> 47% (+4)
Roberts: 40% -> 38% (-2)
Undecided: 14% -> 12% (-2)
Information Flow
Where do you get most of your political news and information?
Crosstab Breakdown
DemographicLocal TVSocialCableOnlineRadioPrintFriends
Trend Analysis
Key metrics tracked across three survey waves
Candidate Favorability
Oct 2025
58%
Dec 2025
60%
Jan 2026
62%
+4 pts since Wave 1
Opponent Favorability
Oct 2025
44%
Dec 2025
42%
Jan 2026
41%
-3 pts since Wave 1
Horse Race Lead
Oct 2025
+1
Dec 2025
+2
Jan 2026
+3
+2 pts growth in lead
Right Direction
Oct 2025
38%
Dec 2025
40%
Jan 2026
42%
+4 pts since Wave 1
Methodology
Study design and data collection details
Sample Size
n = 1,570 Likely Voters
Field Dates
January 15-19, 2026
Margin of Error
+/-2.5% at 95% Confidence
Mode
IVR / Online Mixed Mode
Geography
Statewide
Universe
Registered Voters with Likely Voter Screen
Language
English and Spanish
Sponsor
Sample Campaign Committee
Sample Demographics
DemographicSample %
Republican36%
Democrat34%
Independent / Other30%
Female52%
Male48%
18-3418%
35-4416%
45-5419%
55-6421%
65+26%
White62%
Black14%
Hispanic16%
Other8%
Weighting Note

Data were weighted to match the expected electorate by party registration, gender, age, race/ethnicity, and geography using iterative proportional fitting (raking). The likely voter screen incorporated self-reported vote intention, past vote history, and stated interest level. All percentages reported are among likely voters unless otherwise noted.

Methodology
Study design and data collection details
Sample Size
n = 1,570 Likely Voters
Field Dates
January 15-19, 2026
Margin of Error
+/-2.5% at 95% Confidence
Mode
IVR / Online Mixed Mode
Geography
Statewide
Universe
Registered Voters with Likely Voter Screen
Language
English and Spanish
Sponsor
Sample Campaign Committee
Sample Demographics
DemographicSample %
Republican36%
Democrat34%
Independent / Other30%
Female52%
Male48%
18-3418%
35-4416%
45-5419%
55-6421%
65+26%
White62%
Black14%
Hispanic16%
Other8%
Weighting Note

Data were weighted to match the expected electorate by party registration, gender, age, race/ethnicity, and geography using iterative proportional fitting (raking). The likely voter screen incorporated self-reported vote intention, past vote history, and stated interest level. All percentages reported are among likely voters unless otherwise noted.

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Predictive Voter Modeling
Survey-grounded targeting at scale
SURVEY
1,500+ voters surveyed
Real opinions, not assumptions
PROFILE
500+ data points matched
Demographics, psychographics, consumer behavior
SCORE
Every voter scored 0-100
Individual-level predictions
ACTIVATE
Targetable universes delivered
Mail, digital, phones, doors
Survey Sample
1,500 voters surveyed
Target group identified by response pattern
Statistical modeling applied
Full Voter File
0
matching voters identified out of 650K in the district
Tap to replay animation
Target Segments
Example model types and scoring ranges
Persuadable Voters
Swing voters movable on your issues
040-65100
Message Movers
Most responsive to your specific messaging
055-80100
Issue Models
Pro-2A, pro-life, green energy, education
0varies100
Mobilization Targets
Supporters who need turnout motivation
070-95100
Opponent Soft Support
Opposition voters showing vulnerability
025-45100
"Most targeting starts with demographics and guesses what voters think. We start with what voters actually tell us -- then find everyone like them."
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Voter Contact Programs
Multi-channel outreach solutions for campaigns and organizations
Hi! Early voting starts Monday. Do you have a plan to vote?
Yes, planning to go Tuesday morning
Great! Your polling place is Lincoln Community Center, open 7am-7pm. See you there!

P2P Texting

Fully managed MMS, SMS, and video texting programs with real-time analytics and compliance monitoring.
2.4M messages delivered
94% delivery rate
12% response rate
LIVE
Teletown Hall - District 7
12,847
PARTICIPANTS CONNECTED
Q&A Queue: 23 questions pending

Virtual Events

Teletown halls and mobile live stream town halls with live Q&A moderation and real-time participant management.
50K+ participants hosted
Avg 28 min engagement
Live Q&A moderation
Connected - 04:32
Patch-Through Active

Managed Phones

Live calls, robocalls, and patch-through calls to elected officials with full program management.
1.2M calls completed
Patch-through to officials
Live + automated
UNIVERSE BUILDER

Data Management

Building and maintaining campaign universe lists for execution across mail, digital, door knocking, and phones.
3.2M voter records
Multi-channel targeting
Mail, digital, doors, phones
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