Location Intelligence & Geospatial Analytics Platform

Turn Mobility Data Into
Actionable Consumer Insights

TrikalaData Pixel is a location intelligence platform that helps retail and marketing teams turn real world mobility data into clear answers. You can build audiences, measure store visits, resolve device identities, and score buying intent from one simple dashboard.

Published Updated

Build precision audiences with geofencing, analyze foot traffic patterns for site selection, resolve cross-device identities, and score consumer intent — all from one unified platform powered by 20+ premium mobility datasets.

Key Takeaway

TrikalaData Pixel is a self-serve location intelligence platform that turns real-world mobility data into audiences, foot-traffic analytics, device identity graphs, and consumer intent scores. It is built for retailers, ad agencies, and real estate teams that need geospatial insight without enterprise-only pricing or annual lock-in, with plans starting at $199/month.

20+ Datasets
237GB Mobility Data
<2s Query Speed
99.9% Uptime SLA
Platform

One Platform. Complete Geospatial Analytics.

Define trade areas on an interactive map, apply audience segmentation filters, and get actionable foot traffic insights in minutes — not days.

app.trikaladata.com/pixel
Audience Builder
Selection Mode
Single Multiple
GeoJSON Polygon
Drop GeoJSON or draw on map
Search Places
Starbucks in Manhattan
Date Range
Last 30 days
Build Audience
+
12,847 Devices matched
Products

Four Products. One Location Intelligence Platform.

Everything you need for retail analytics, site selection, audience segmentation, and consumer behavior analysis — powered by real-world mobility data.

Audience Builder & Segmentation

Build hyper-targeted audiences using geofencing and real-world visitation data. Find consumers who visited specific retail locations, live in defined trade areas, or exhibit specific movement patterns for programmatic activation.

  • Polygon-based geofencing & trade area definition
  • Dwell time & visit frequency filtering
  • Home location enrichment & demographic overlay
  • Export to DSPs, CSV, or REST API
Core · Audience Segmentation

Foot Traffic & Visitation Analytics

Measure real-world visits to any location for site selection and competitive benchmarking. Compare store performance over time, validate retail expansion decisions, and analyze visitation patterns across your trade areas.

  • Daily, weekly & monthly traffic trends
  • Competitive benchmarking & share of visits
  • Site selection scoring & trade area analysis
  • Visit frequency, duration & customer loyalty
Analytics · Retail & Real Estate

Device Graph & Identity Resolution

Resolve cross-device identities and build unified consumer profiles. Match mobile advertising IDs across platforms, link devices to households, and enrich your CRM for omnichannel marketing campaigns.

  • Cross-device matching & household linkage
  • MAID-to-household graph resolution
  • CRM enrichment & lookalike modeling
  • Privacy-compliant & consent-based
Data Enrichment · Ad Tech

Consumer Intent & Predictive Scoring

Understand purchase intent from real-world behavior signals. Score consumers based on visitation patterns that indicate buying readiness — from auto intenders to QSR loyalists to in-market home buyers.

  • Category-level intent scores (200+ verticals)
  • In-market audience signals & predictive modeling
  • Custom intent taxonomies for your industry
  • Real-time activation via programmatic pipes
Intelligence · Programmatic
How It Works

From Geofence to Consumer Insight in Minutes

TrikalaData Pixel works in four steps: define a trade area on the map, apply segmentation filters such as dwell time and dates, let the dual engine process the mobility data, then export the resulting audience to a CSV, a DSP, or the REST API. Most queries return in seconds.

01

Define Your Trade Area

Draw geofences on the map, upload GeoJSON boundaries, or search for specific POIs, brands, and retail locations.

02

Apply Segmentation Filters

Set date ranges, dwell time thresholds, visit frequency, demographic overlays, and intent categories to refine your audience.

03

Process & Analyze

Our dual-engine architecture processes terabytes of mobility data via DuckDB (fast queries) + Spark on EMR (heavy compute) in minutes.

04

Activate & Export

Download audience segments as CSV, push to DSPs for programmatic campaigns, or integrate via REST API into your martech stack.

Data Assets

Built on 20+ Premium Mobility & POI Datasets

Verified geospatial data powering every query — from raw device signals to curated consumer behavior intelligence, ready for site selection, audience building, and market analysis.

Home Location Graph
Dwell Time Signals
Staypoint Detection
Waypoint Trajectories
Device Identity Graph
Consumer Intent Scores
POI / Places Database
Behavioral Profiles
Visitation Patterns
Cross-Device IDs (MAIDs)
Census & Geo Boundaries
Brand Location Index
Storage S3 Parquet (237 GB+)
Fast Query DuckDB + httpfs
Heavy Compute EMR + Spark + Sedona
Delivery REST API + CSV + Push
Pricing

Enterprise Location Intelligence, SaaS Pricing

Get started with foot traffic analytics and audience segmentation today. No annual commitment. Cancel anytime.

Starter

$199 /month

For teams getting started with location analytics and foot traffic data.

  • Foot Traffic Dashboard & Trends
  • 5 audience segmentation builds/month
  • Basic consumer intent scores
  • Trade area visualization
  • CSV export
  • Email support
Get Started

Enterprise

Custom

For organizations needing custom data pipelines and dedicated infrastructure.

  • Everything in Professional
  • Custom mobility data pipelines
  • Dedicated compute cluster (EMR)
  • White-label platform option
  • 99.9% SLA guarantee
  • Custom POI & location taxonomies
  • Dedicated account manager
Contact Sales
Company

Built in Bengaluru. Powering Global Location Analytics.

TrikalaData was founded in 2024 to democratize location intelligence. While competitors like Placer.ai charge $1K+/month and legacy providers lock you into annual enterprise contracts, we deliver the same geospatial analytics capabilities at a fraction of the cost — with a self-serve SaaS model.

Our platform processes 237GB+ of verified mobility data covering home location, dwell times, visitation patterns, and consumer intent — serving results in seconds. We're built for retailers, ad agencies, real estate firms, and any team that needs to understand where people go and why.

Ajay Hegde

Ajay Hegde

Co-Founder
Goutam Hegde

Goutam Hegde

Co-Founder
FAQ

Frequently Asked Questions

Straight answers to the questions teams ask before choosing a location intelligence platform.

What is location intelligence?

Location intelligence is the practice of analyzing real-world mobility and geospatial data — such as foot traffic, dwell time, and visitation patterns — to understand where people go and why. Businesses use it for site selection, audience targeting, and competitive benchmarking.

What is TrikalaData Pixel?

TrikalaData Pixel is a self-serve SaaS platform that lets you build geofencing audiences, measure foot traffic, resolve cross-device identities, and score consumer intent from 20+ premium mobility datasets covering 237GB+ of verified data.

How does foot traffic analytics work?

You define a trade area by drawing a geofence, uploading a GeoJSON boundary, or searching for a place. The platform then measures verified device visits inside that area over time, so you can compare store performance, benchmark competitors, and validate expansion decisions.

Who should use TrikalaData Pixel?

It is built for retailers planning new stores, ad agencies building programmatic audiences, real estate firms scoring sites, and any team that needs to understand consumer movement and intent from real-world data.

How much does it cost?

Plans start at $199/month for the Starter tier, $499/month for Professional with full geospatial capabilities and API access, and custom pricing for Enterprise. There is no annual commitment and you can cancel anytime.

Is the location data privacy-compliant?

Yes. All mobility datasets are aggregated and anonymized and contain no personally identifiable information. Data handling complies with applicable privacy regulations, including GDPR and applicable Indian data protection laws.

Ready to See It in Action?

Schedule a personalized demo with our team. We'll walk you through the platform, answer your questions, and show you how TrikalaData Pixel fits your use case.