
Twenga
Shopping search engine, online advertising, ecommerce, retargeting, search engine marketing, product recommendation.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | €10.0m | Series A | |
Total Funding | 000k |
EUR | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 215 % | (51 %) | (37 %) |
EBITDA | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | - | 26 % | 13 % | 22 % |
Profit | 0000 | 0000 | 0000 | 0000 |
% profit margin | (16 %) | 22 % | 13 % | 20 % |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Founded in 2006 by Bastien Duclaux and Cédric Anès, Twenga originated as a price comparison search engine in France. The founders, who met at the École Nationale Supérieure des Télécommunications, leveraged their technical expertise to develop a platform that initially scanned millions of web pages to categorize products for online shoppers. Over the years, the company has pivoted from a B2C model to a B2B focus, concentrating on providing sophisticated audience acquisition solutions for e-retailers. A significant milestone was the €10 million funding round from Idinvest Partners in 2015, which fueled international expansion and the development of its advertising technologies.
Twenga operates in the digital advertising and e-commerce market, serving a global client base of approximately 4,500 merchants across 16 countries. The company's core business is to enhance its clients' traffic acquisition strategies, primarily for Google Shopping and Microsoft Advertising campaigns. Its revenue model is flexible, offering performance-based options, where it takes a commission on sales driven (CPA model), or a traditional pay-per-click (PPC) structure. This approach allows Twenga to work with a diverse range of clients, from large marketplaces to smaller online stores, helping them to increase sales and improve return on investment (ROI) on their ad spend.
The company's main offering is a suite of services built upon a proprietary machine learning platform. This technology analyzes client product catalogs and predicts conversion rates and basket values at an item-specific level. By doing so, it can calculate and set optimal bids for products, particularly uncovering opportunities in the long-tail portion of a client's inventory that may be overlooked by other strategies. A key feature is a proprietary pixel that gathers stronger data signals to enhance campaign performance. As a certified Google Premium CSS Partner and Microsoft Elite Partner, Twenga can run campaigns in parallel with a client's in-house efforts, aiming to boost overall reach and sales without direct conflict. The platform also provides turnkey integrations with major e-commerce platforms like Shopify, PrestaShop, and Shopware, simplifying the onboarding process for merchants.
Keywords: audience acquisition, price comparison, Google Shopping, machine learning, e-commerce advertising, performance marketing, comparison shopping service, adtech, lead generation, PPC optimization