co/efficient Product Team of the Year
CampaignTech Awards 2026 · Product Team of the Year

One Team. One Year.

Four people built and rebuilt the technology behind polling, modeling, texting, advocacy and client-specific campaign tools in a single cycle. Pick a product below to see what they shipped.

AAAlex Anderson WLWalker Little JOJacob Orell JBJessica Becks
5 productsPolling engine, modeling platform, co/nnect, Action Advocacy and custom client tools.
4 peopleOne team building across nearly every stage of campaign decision-making.
3 hours to 10–20 minA carrier-registration workflow, rebuilt in an afternoon.
Research

Polling engine

1 of 5

The engine brings the whole research workflow into one place, from the questionnaire coming in to the finished client dashboard.

Because the team controls every step, a poll can go into the field the day the questionnaire is final, and the results reach the client as an interactive dashboard instead of a PDF of crosstabs.

Fielded the same day the questionnaire is final. Results within 48 hours.
Inside the engine
  • Poll intake
  • Universe counts and list cutting up front, so the team knows the exact scope before a survey goes out
  • Dashboard production
  • Simultaneous collaboration on the same dashboard
  • An AI-assisted editor that makes structural dashboard changes from a plain-language request
A real client dashboard from the engine. Click the slides on the left.Open full screen ↗
AI dashboard editor recordingA researcher types a request such as "split this page into three" and the dashboard changes.
Turnaround
48 hours

From a final questionnaire to results in front of the client.

Dashboard revisions
1 → 3 pages

One dense page split into three cleaner pages from a single plain-language request, with no developer ticket.

Moving a chart, shortening labels, rearranging a section or splitting a page used to be a development task. Now the researcher who knows what the poll says can make the change directly, and developers spend their time on harder problems.

Targeting

Modeling platform

2 of 5

The modeling platform carries what a poll learned across the voter file and turns it into a workspace where the campaign makes its targeting decisions.

The campaign builds the audience it wants, watches the count change as it goes, sees the messages that matter to those voters and pulls the contact list from the same screen.

In one workflow
  • Build target universes
  • Live universe counts
  • Message guidance tied to the audience you selected
  • Generate the contact list

How it works, following one voter. Illustrative data, fictional race.

Audience Builder, messages ranked for the selected audience
Messages ranked for the audience you built
Group Profiles with voter counts and the recommended play
Who each group is, how many voters, and the play
Contact lists by group and channel, ready to download
Contact lists, ready to download
Virginia's 6th District
436,000 voters

Scored in one program, with the campaign building and adjusting its own target audiences.

Handoffs
1 workspace

Finding, audience, message and list in one place, instead of separate steps between research, data, strategy and outreach.

The dashboard became the place where the targeting decision was made, not just where results were viewed.

Voter contact

co/nnect texting

3 of 5

co/nnect is the team's own political texting platform, built from years of running texting programs on other people's software since 2019.

The operating loop is deliberately simple: upload, create the project, send and monitor. The complexity sits underneath, where operators don't have to manage it.

Built for operators
  • Reporting on what is delivering and what it cost
  • Historical campaign and message context when the team needs it
  • Safeguards that pause certain problem sends, alert the team and wait for a human decision
  • A data-lake architecture that keeps message history accessible at scale
  • Reply Tags: ask a question about a project's replies in plain language

Reply Tags: every reply read in the context of the message that prompted it.

co/nnect send and monitor recordingUpload, create the project, send, monitor, and the automatic pause alert.
Operating loop
4 steps

Upload, create the project, send, monitor.

When something goes wrong
Pause + alert

Detectable sending problems stop the send and bring a human back into the decision before they compound.

After years of adapting to other platforms, the team stopped working around someone else's software and built the one its operators wanted to use.

Advocacy

Action Advocacy

4 of 5

Action Advocacy turns issue education into immediate action. A custom page explains the issue, gives a clear call to action and lets the visitor send an email or text to the right decision-maker without leaving the page.

The path
  • Understand the issue
  • Take action
  • Reach the decision-maker
Try it. This demo uses a fictional issue and sends nothing.Open full screen ↗

Organizations spend real money making people care, then lose them in the steps between interest and action: leaving the page, finding the official, finding the contact information, writing the message.

Action Advocacy removes those steps, so caring becomes a message in a decision-maker's inbox instead of a page view in an analytics report.

A real client page and its action countIf one can be shown publicly.
Built to order

Custom and internal tools

5 of 5

When a client's problem doesn't fit a standard product, the team builds the dashboard, tracker or tool around it.

The same instinct points inward. When a workflow wastes staff time, the team builds the tool that removes it.

Hiring people, not positions

The team built the infrastructure and guardrails that let the people closest to a workflow help shape or build the solution, instead of sending every good idea into an engineering queue.

Carrier-registration tool recordingThe workflow that took about three hours, now about 10 to 20 minutes.
Custom client toolScreenshot
Custom client toolScreenshot
Carrier registration
3 hrs → 10–20 min

An 89% to 94% reduction in time for each registration.

Time to build the tool
~3 hours

One afternoon of product work now returns hours of staff time every week.

co/efficient doesn't wait for the campaign-tech market to build what it needs. This team builds it.

Polling engine, modeling platform, co/nnect, Action Advocacy, custom client technology and internal tools that return hours of staff time every week. One team. One year.