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Ikano Insight

Ikano Insight Revenue

Data Infrastructure and AnalyticsFlag of GB11-13 Weston Street, Unit 12.2.1. The Leather Market, United Kingdom21-50 Employees

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Ikano Insight revenue & valuation

Annual revenue$9,000,000
Revenue per employee$311,000
Estimated valuation?$28,800,000
Total fundingNo funding

Key Contacts at Ikano Insight

Flag of GB

Jonathan Otter

Head Of Sales

Flag of GB

Ashley Patterson

Managing Director

Flag of GB

Simon Taylor

Director Of Marketing

Company overview

Headquarters11-13 Weston Street, Unit 12.2.1. The Leather Market, London, England SE1 3ER, GB
Phone number+442078365656
Website
NAICS518
SIC874
Keywords
Analytics, Business Intelligence, Data, Advanced Analytics, Marketing, CRM, Predictive Analytics, Crm Strategy, Data Management, AI, Behavioural Data, Data Modelling, Sustainability Strategy, Geo-Spatial Data, Location Analytics, Esg Consulting, Esg Reporting, Sustainability Software, Sustainability Analytics, Csrd
Founded2000
Employees21-50
Socials

Ikano Insight Email Formats

Ikano Insight uses 4 email formats. The most common is {first initial}.{last name} (e.g., j.doe@insight.ikano), used 73.3% of the time.

FormatExamplePercentage
{first initial}.{last name}
j.doe@insight.ikano
73.3%
{first name}.{last name}
john.doe@insight.ikano
13.3%
{first initial}{last name}
jdoe@quantmarketing.com
6.7%
{first name}{last name}
johndoe@quantmarketing.com
6.7%

About Ikano Insight

Ikano Insight helps businesses turn ambition into action. With 15 years of experience working with IKEA, we bring deep expertise in retail analytics, including geolocation tools for Scope 3 emissions, and continue to help businesses across sectors grow sustainably. Our ESG Optimise product suite, powered by IBM Envizi and Unravel Carbon’s AI-powered carbon platform, delivers an end-to-end solution for emissions tracking, compliance, and actionable insights. It combines automation, audit-grade carbon accounting, and AI-driven tools to help organisations move from ambition to measurable ESG action. We empower retailers with APE, our Area Prioritisation Engine. Using geospatial data science, APE provides fact-based insights into neighbourhood potential, customer behaviour, and revenue opportunities, helping businesses make data-driven decisions on store openings, investment, and marketing strategies.

Employees by Management Level

Total employees: 21-50

Seniority

Employees

Entry
Senior
Manager

Employees by Department

Ikano Insight has 9 employees across 4 departments.

Departments

Number of employees

Funding Data

Ikano Insight has never raised funding before.

Ikano Insight Tech Stack

Discover the technologies and tools that power Ikano Insight's digital infrastructure, from frameworks to analytics platforms.

reCAPTCHA

reCAPTCHA

Security

Gravity Forms

Gravity Forms

Form builders

BugHerd

BugHerd

Issue trackers

Slick

Slick

JavaScript libraries

Vimeo

Vimeo

Video players

Microsoft 365

Microsoft 365

Email

jQuery Migrate

jQuery Migrate

JavaScript libraries

Cloudflare

Cloudflare

CDN

MonsterInsights

MonsterInsights

Analytics

Twitter Emoji

Font scripts

jQuery

jQuery

JavaScript libraries

HubSpot Analytics

HubSpot Analytics

Analytics

Frequently asked questions

Ikano Insight is located in 11-13 Weston Street, Unit 12.2.1. The Leather Market, GB.
You can reach Ikano Insight at +442078365656.
Ikano Insight generates an estimated annual revenue of $9,000,000. This revenue figure reflects the company's market position and business performance in its industry.
Ikano Insight has an estimated valuation of $28,800,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Ikano Insight was founded in 2000, making it 26 years old. The company has established itself as a significant player in its industry over this time.
Ikano Insight has approximately 21-50 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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