Party vote-share index moves differently in each cycle
Sample index by election cycle, not actual vote share
Understand political trends, assess constituency-level dynamics and interpret public opinion through structured research and data analysis. Political Metrics helps political parties, candidates and campaign teams make informed decisions through political analytics, voter research and actionable intelligence across India.
Political Metrics builds analytics dashboards that connect past and present electoral data with constituency context, issue attention and digital campaign activity, so that social, web, SMS and WhatsApp performance sit in one structured view.
Illustrative sample dashboard. Not live information, actual election results or a performance claim.
Political Metrics turns electoral records, constituency context and digital campaign data into dashboards, comparisons and analytical reporting. The services below are our core modules. Most engagements combine several of them, and we extend or build new ones around your constituency, election type, data sources and reporting needs. Available detail depends on data quality, source access and correctly configured tracking.
Compare vote share, turnout, party performance and constituency change across election cycles.
Rank booths by strength, swing and turnout to see where support is consistent and where it is slipping.
Test what-if cases on turnout and vote transfer, with every assumption stated and open to challenge.
Combine aggregate demographic, geographic and local characteristics with electoral records.
Map results, swing and engagement by constituency, ward or booth to show spatial patterns at a glance.
Tailored views with filters, comparison tables and clearly defined indicators for ongoing review.
Monitor topics, online discussion and aggregate audience interests from permitted data as attention shifts.
Track coverage volume, themes and tone across selected news and digital sources over time.
Reach, interactions, content performance, topic patterns and available sentiment indicators.
Compare your digital footprint, messaging themes and engagement with other parties and candidates.
Traffic sources, landing pages, visitor journeys, events and conversions on campaign sites.
Delivery reports, tracked clicks, responses and follow-on website activity, as providers allow.
Link visits and events to tagged sources, campaigns, content and audience segments.
Bring opinion survey and field-report data into the same view as electoral and digital indicators.
Concise weekly and event-driven briefings that highlight changes, exceptions and what to verify next.
A structured process keeps dashboards focused on real questions, clear definitions and evidence that can be checked.
Define the decision, period, geography and metrics.
Review electoral records, demographic data, platform reports and tracking.
Align fields, check gaps, document definitions and build comparisons.
Separate observed signals from assumptions and refine as questions evolve.
Sources, refresh rates and integrations are confirmed per engagement. Digital signals may not represent the whole electorate, and associations do not establish causation.
Instead of reading each spreadsheet, platform report or campaign link in isolation, teams can compare indicators across places and periods, spot meaningful changes and decide what to investigate next.
The result is a practical base for clearer reporting: what changed, where, which signals appear connected, and what to verify before drawing a conclusion.

Pick a tab to explore. Each exhibit shows how electoral history, constituency comparison, issue attention and digital activity can be organised for decision-makers. All figures are fictional placeholders for demonstration.
Sample index by election cycle, not actual vote share
Sample change vs prior cycle, percentage points, 24 areas
Sample relative issue-attention index, earlier vs current period
Sample share of tagged sessions by channel
Sample UTM-tagged campaign funnel
Sample turnout vs swing, by constituency
Sample aggregate demographics, no individual data
Sample booths coloured by past performance and swing
Sample n=1,200, margin of error ±2.8%
Methodology, sampling and weights are documented in a real report.
Sample what-if cases with stated assumptions
| Scenario | Turnout | Vote transfer | Margin |
|---|---|---|---|
| Base case | 64% | None | +2.1 pp |
| High turnout | 70% | None | +3.4 pp |
| Low turnout | 58% | None | -0.7 pp |
| Alliance transfer | 64% | 40% | +4.9 pp |
Illustrative. Real models list data sources and uncertainty ranges.
Sample preference index by wave
Sample reel ranking, last 7 days
| Reel | Theme | Views | Shares | Saves | Completion |
|---|---|---|---|---|---|
| Reel 01 | Road works update | 412K | 9.8K | 6.1K | 54% |
| Reel 02 | Candidate explainer | 286K | 7.2K | 4.4K | 49% |
| Reel 03 | Scheme awareness | 231K | 5.6K | 3.9K | 61% |
| Reel 04 | Rally highlights | 198K | 4.1K | 2.2K | 38% |
| Reel 05 | Voter helpdesk | 164K | 6.3K | 5.0K | 66% |
Sample views (thousands) by hours since posting
Sample total views by theme
Average watch time and share rate can rank themes differently from views.
Sample 12-week trend with posting-time heatmap
Darker = higher engagement by day and time.
Sample long-form channel metrics
Sample daily mentions (hundreds)
Sample two-ad test, same audience and budget
| Version | CTR | CPC | Completion | Result |
|---|---|---|---|---|
| A: static image | 1.4% | Rs 6.8 | 31% | Control |
| B: 15s video | 2.3% | Rs 4.1 | 58% | Winner |
Sample ad account overview, last 14 days
| Campaign | Objective | Spend | Reach | Clicks | CTR | Freq. |
|---|---|---|---|---|---|---|
| Campaign A | Awareness | Rs 1.4L | 3.1M | 12.4K | 1.1% | 2.3 |
| Campaign B | Traffic | Rs 1.6L | 2.2M | 38.9K | 2.4% | 3.1 |
| Campaign C | Video views | Rs 0.8L | 1.1M | 9.2K | 1.8% | 2.0 |
| Campaign D | Leads | Rs 0.4L | 0.4M | 4.7K | 2.9% | 2.6 |
Sample share of link clicks
Sample reach by age group
Platform-reported aggregates, not individuals.
Sample cost per landing-page view by channel
Sample sessions by source, last 14 days
| Source / medium | Sessions | Engaged | Avg time | Actions |
|---|---|---|---|---|
| Direct / none | 9,800 | 48% | 0:52 | 210 |
| Google / organic | 8,400 | 63% | 1:41 | 265 |
| Google / cpc | 7,100 | 58% | 1:12 | 198 |
| sms / broadcast | 9,300 | 66% | 1:25 | 312 |
| whatsapp / share | 8,600 | 71% | 1:48 | 341 |
| facebook, instagram / paid | 3,900 | 52% | 0:49 | 86 |
| Other referrals | 1,100 | 55% | 1:02 | 30 |
Example tag: ?utm_source=whatsapp&utm_medium=share&utm_campaign=booth_drive
Sample share of sessions
Sample, thousands
Sample broadcast, as provider reports
Sample bulk SMS, DLT-registered sender
Sample comparison of public pages
| Page | Followers | Posts / week | Engagement | Active ads |
|---|---|---|---|---|
| Your page | 128K | 14 | 4.8% | 12 |
| Rival 1 | 210K | 22 | 2.9% | 31 |
| Rival 2 | 96K | 9 | 5.4% | 6 |
| Rival 3 | 74K | 17 | 2.1% | 18 |
Based on publicly visible pages and ad libraries only. No private data.
Sample story count by theme
Sample mentions per hour (hundreds)
Alert fired at 4x the 7-day average.
Sample share of first 100 mentions by source type
Sample one-page view for the candidate
Alert 1 Rumour on topic Y is trending. Check source.
Alert 2 Booth 27 volunteer coverage is below plan.
Alert 3 WhatsApp read rate fell 9 points.
Sample one-page briefing layout
How political analytics, election data services, data sources and tracking work at Political Metrics.
Political analytics is the structured study of electoral results, constituency context, public attention and digital campaign activity. For campaigns in India, it shows what changed between election cycles, where support is strengthening or slipping, and which areas or issues need attention before decisions are made.
A political analytics company turns electoral records, demographic data, survey findings and digital platform reports into dashboards, comparisons and briefings. Political Metrics works with candidates, parties and research teams on historical election analysis, booth-level review, issue tracking, digital performance and reporting.
Our core services include historical electoral analysis, booth-level analysis, swing and scenario modelling, constituency profiling, geo-spatial mapping, issue and media monitoring, social media and web analytics, SMS and WhatsApp insights, UTM tracking, survey integration and war-room reporting. We also extend or combine modules to fit your requirement.
Yes. The listed services are core modules. We configure, combine or extend them for Assembly, Lok Sabha, MLC, Zilla Parishad, municipal or ward elections, based on the geography, available data and the decisions you need to make. Scope is confirmed before work begins.
We work with official electoral records, aggregate demographic and geographic data, survey and field-report data, social and ad platform reports, website analytics, and SMS and WhatsApp provider reports. What is available depends on source access, permissions and data quality.
Booth-level analysis ranks polling booths by past performance, swing and turnout. It shows where support is consistent, where it is weak and which booths deserve priority for volunteer coverage, outreach or verification.
UTM tags are added to the links you share, naming the source, medium and campaign. When someone clicks, your website analytics groups the visit under that tag, so you can compare SMS, WhatsApp, Google and paid social traffic. Untagged links usually appear as direct traffic.
No. We use aggregate data only, such as age bands, booth-level totals and channel-level results. We do not show individual voter profiles or phone numbers, and audience signals are never presented as labels for individuals.
Analytics can show trends and test what-if scenarios, such as how turnout or vote transfer changes a margin. It cannot guarantee a result. Every scenario should state its assumptions and uncertainty, and observed patterns do not by themselves prove causation.
Start with the constituency or region, the time period, your main questions and access to relevant accounts such as website analytics or ad accounts. We then confirm data sources, scope, refresh frequency and the dashboard views you need.
Discuss an electoral analytics dashboard, constituency comparison, digital performance analysis or an integrated political data project with Political Metrics.
Sample analytics are illustrative. Actual reporting depends on source quality, permissions, platform access and agreed scope.
Political Metrics is a India’s leading political strategy consulting firm specialises in Political PR, Surveys (pre,exit & post poll), Election Campaign Management, Political Party Registration, Political Advisory, Campaign War Room, Political Intelligence, Analytics, Digital & Social Media Management.