ConScan brings election history, ground research and family maps into one system. It works because every party worker gets a way to contribute, and because the leader can finally talk to each of them, and reach each household, personally.
Built on election research that began in 2001. An AI-enabled system, from state down to the individual voter.
Illustration of the system, not real data.
Most campaigns run on scattered spreadsheets, a few trusted people and instinct. ConScan replaces the scatter with one picture that every level of the party can act on.
Every booth is sorted by how it voted in the past: won by a wide margin, within reach, or lost by a wide margin. The contested middle stands out at once.
The gain: leadership stops spreading effort thinly and starts working the booths that decide the result.
Each voter carries a vote probability, built from six elections, ground conditions, family details and surveys. It tells the party who needs persuasion and who needs a reason to turn out.
The gain: time and money go to swing families, not to those already decided either way.
Every family is mapped by locality: who lives there, their life stage, what they have raised, and which worker knows them.
The gain: the party is known in the whole constituency, not only in the loudest streets.
From the booth president to the newest volunteer, everyone has a role, a list and a way to feed what they learn back into the system.
The gain: an organisation that listens, and workers who can see that their effort counts.
Messages follow the outreach band and the family's life. A first vote, a birthday, a birth or a loss each calls for something different.
The gain: persuasion that feels personal, and consolidation that feels like care.
The Central Console shows progress booth by booth, worker activity and open follow-ups, from state level down to a single locality.
The gain: decisions made on what is happening on the ground this week, not last quarter.
Each square is one booth from an imaginary constituency. Green booths were won by a wide margin, amber were within reach, red were lost by a wide margin. Move the slider to see which lost booths come back if the margin improves.
Illustrative data for 96 booths. Classes follow ConScan's A, B and C sorting: won by more than 30 points, within 30, lost by more than 30. Booths ringed in dark are the ones that flip.
Election results, ground conditions, family details, surveys and what workers learn each day usually live in different places. ConScan lines them up on the same map and blends them into a single view of each family and voter.
Booth-wise results from six elections are digitised, and booths are tied to stable localities so results can be compared over time.
Booth numbers change between elections. Localities do not. ConScan anchors every layer to the locality, so six elections of results line up.
Six layers in. One probability, one action out, for every voter.
A database is only as good as the people who keep it alive. ConScan gives each person in the party a role that is clear, a list that is short and a reason to keep contributing: they see what their work has changed.
Kavita visits the Verma family, confirms who lives there and notes that Priya will vote for the first time.
Campaigns are remembered for how they treated people between elections. ConScan maps every family in the constituency, so the party can be there when it matters to them: the first vote, the birthday, the new baby, the loss.
Street light on lane 3. Scholarship form for Priya.
Outreach band is an estimate used to plan outreach. It is not a verdict on the family and never affects the help they receive.
Households are mapped locality by locality, with members, life stages and what each family has raised. Localities stay constant even when booth numbers change.
Each family has a worker who knows them. The party stops being a distant name and becomes a familiar face.
Personal milestones such as birthdays, anniversaries, births and bereavements are tracked, so the party can stand with a family in good times and bad.
Issues a family raises are logged, routed and closed with the family. Help with schemes and grievances is genuine casework, never conditional on political support.
Leaders speak to workers in bulk. Most never hear back and quietly drift away. ConScan knows each worker, their booth, their families and their record, so the party can write to every one of them personally, in their language, and hear back.
Five fictional workers. Choose one to see the message the system would prepare for them.
The vote probability is blended from six layers. What matters is what the party does with it, so each band comes with an action.
Unlikely to vote for you. Damage control strategy needed. Are they individuals with preferences, or communities/ social groups voting against you?
Focus of the campaign — persuade. These are voters who would decide the outcome of the next election. How well can we reach them.
Priority outreach. Bring leaning families firmly across.
This is your base vote. Every voter who does not turn out to vote is a direct loss. 'Get Out the Vote' systems critical. Candidates and their teams need to show up in person, or they will not show up.
Swing vote. Persuasion. Send the worker who knows them best, listen first, and answer what they have raised.
Six elections digitised and every booth sorted into A, B and C by margin, for your party and for each rival.
Vote share in four bands (below 30, 30 to 50, 50 to 65, above 65) shows weak, contest and strong belts. Then simulate what a win by 10 points would take.
The ground team records the political landscape, leaders, influencers, organisations and local needs, locality by locality.
Families and individuals are added, with life stage and personal milestones, and tied to the worker who knows them.
An overview survey, ideally every six months and at least once a year, keeps the read of the ground fresh and feeds the probability.
Central Console, Leader App, Booth President App and Worker App carry the picture to each person, with a WhatsApp network for day-to-day contact.
Family-level information is sensitive. ConScan is built for legitimate campaign relationship-building, and it is designed around the following.
Yes. The same hierarchy works from a state down to a single constituency, and from a constituency down to the individual voter.
A booth list matched to the electoral roll, and one named contact worker for each booth. The team digitises past results and starts the locality mapping from there.
The apps are built by role, so each person sees only what they need. A WhatsApp network gives every worker a familiar way to stay in touch, and the party can write to each one individually.
Booth numbers change between elections, but localities remain constant. ConScan anchors every result to the locality, so six elections of data stay comparable.
No. The score is a planning estimate for outreach. It should never be used to disadvantage a voter, and it is refreshed by fresh surveys and worker feedback.
People in your party, according to the role you give them. Each campaign's data is isolated from other campaigns, and accounts are managed centrally.
Ideally every six months, and at least once a year, so the picture stays current.
Tell us what you are preparing for. We will come back with a walkthrough built around your booths, your belts and your workers.