AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Lookastic Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Acconeer Manufacturing 45 $4M Sweden Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
In 2022, Acconeer implemented Lookastic on its public website. The Lookastic deployment provides Personalization and Product Recommendations functionality to the web storefront, surfacing on-page product recommendations, contextual merchandising, and segment-aware content targeting to support marketing and e-commerce workflows. Acconeer Lookastic Personalization and Product Recommendations supports catalog-aware suggestion feeds and session-aware suggestions, with configuration focused on web channel delivery rather than broader back-office replacements. Configuration and modules emphasize rule-based business logic and model-driven recommendation feeds, including catalog mapping, session signals, and content targeting at product and category pages. Integration is implemented at the site level using client-side embedding and API calls to render recommendation widgets and to enable staged variant testing and iterative tuning by marketing. Operational ownership sits with marketing and e-commerce functions, with governance concentrating on merchandising rules, consent-aware data handling, and staged rollouts using segmentation and experiment controls. Standard personalization workflows such as user segmentation, analytics instrumentation, and iterative rule tuning are used to manage and refine the Lookastic implementation.
Axon Resourcing Professional Services 69 $18M United Kingdom Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
In 2022, Axon Resourcing implemented Lookastic on its website. Lookastic is deployed to support Personalization and Product Recommendations, providing on-site content personalization and recommendation capabilities to surface relevant content and suggested resources to visitors. The technical footprint is centered on the Lookastic recommendation engine and rule engine, delivered through client-side embedding and configurable on-page widgets that drive personalized content panels and recommendation slots. Operational scope focuses on web marketing and digital engagement, with primary business functions impacted including marketing and customer experience, and configuration activities concentrated on audience segmentation, recommendation templates, and campaign rule orchestration. Governance and rollout practices are organized around marketing approval for personalization rules and web operations ownership for snippet deployment and version control, with analytics instrumentation used to iterate on recommendation and personalization configurations.
Dukes India Consumer Packaged Goods 50 $13M India Lookastic Lookastic Personalization and Product Recommendations 2024 n/a
In 2024, Dukes India implemented Lookastic on its public website to introduce site-level personalization and product recommendation capabilities. Lookastic is serving as Dukes India's Personalization and Product Recommendations solution, applied to product detail pages and category listings to support merchandising and marketing functions on the e-commerce storefront. The implementation uses a lightweight web integration to surface Lookastic recommendation widgets and relevance rules, leveraging on-site behavioral signals and the product catalog to enable session-based suggestions and category-level recommendations. Operational scope is the online storefront, with e-commerce and marketing teams owning feed curation, widget placement, and ongoing relevance tuning through the Lookastic configuration console, and governance focused on merchandising rules and UI placement workflows.
Far West Micro Distribution 10 $1M United States Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
In 2022, Far West Micro deployed Lookastic on their customer-facing website to add site-level personalization. Lookastic was implemented as a Personalization and Product Recommendations solution embedded in the storefront, providing a cloud-hosted recommendation engine that surfaces product suggestions and tailored merchandising within the shopping experience. The implementation focused on standard category capabilities, including catalog ingestion, session based behavioral signals, real-time recommendation scoring, and rule based merchandising configured through Lookastic’s administrative console. Operational ownership was kept narrow, with merchandising and marketing staff operating the Lookastic admin to manage recommendation rules and content, while the site embedded JavaScript snippet delivered personalized inserts and product cards. Governance emphasized lightweight operational processes appropriate for a 10 person distribution business, with configuration updates and testing done via the Lookastic console and onsite verification on fwmi.com.
Fysiotherapie Tieberink Healthcare 12 $1M Netherlands Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
In 2022, Fysiotherapie Tieberink implemented Lookastic on its public website to introduce contextual site-level personalization. The deployment uses Lookastic as a Personalization and Product Recommendations layer embedded in the clinic website, establishing a client-side personalization footprint that serves tailored content to anonymous and known visitors. Lookastic powers recommendation widgets and on-page personalization logic, configured to surface service recommendations and contextual content across informational service pages. Configuration centered on standard personalization capabilities such as behavioral segmentation, session-based recommendations, and rule-driven content targeting consistent with the Personalization and Product Recommendations category. Operational coverage is limited to the patient-facing website and associated online touchpoints, with ownership residing inside clinic operations given the small staff size. The implementation model emphasizes lightweight, front-end integration, enabling real-time personalization without requiring major backend changes or additional enterprise middleware. Governance and ongoing adjustments are managed through Lookastic configuration and the clinic’s site administration, with iterative tuning of recommendation rules and content variants. The arrangement aligns Lookastic, the clinic website, and marketing and patient engagement functions to improve relevance of on-site messaging and service discovery.
Retail 87 $8M United States Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
Insurance 10 $1M United States Lookastic Lookastic Personalization and Product Recommendations 2023 n/a
Professional Services 10 $1M United States Lookastic Lookastic Personalization and Product Recommendations 2019 n/a
Manufacturing 13 $2M Spain Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
Consumer Packaged Goods 446 $73M United Kingdom Lookastic Lookastic Personalization and Product Recommendations 2022 n/a
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FAQ - APPS RUN THE WORLD Lookastic Coverage

Lookastic is a Personalization and Product Recommendations solution from Lookastic.

Companies worldwide use Lookastic, from small firms to large enterprises across 21+ industries.

Organizations such as O.P. Chocolate, Axon Resourcing, Dukes India, J S & M Sales & Marketing and Acconeer are recorded users of Lookastic for Personalization and Product Recommendations.

Companies using Lookastic are most concentrated in Consumer Packaged Goods, Professional Services and Retail, with adoption spanning over 21 industries.

Companies using Lookastic are most concentrated in United Kingdom, India and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Lookastic across Americas, EMEA, and APAC.

Companies using Lookastic range from small businesses with 0-100 employees - 93.33%, to mid-sized firms with 101-1,000 employees - 6.67%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Lookastic include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Lookastic customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.