fifty-five helps brands to make optimal use of data and technology to
\ndevelop more relevant, innovative and effective marketing strategies. Their
\nteam includes specialist digital consultants, and data engineers, as well as experts
\nin tracking, advertising technology and media \u2013 a synergy that enables the data
\ncompany to guide the marketing teams of major brands in a variety of sectors
\nthroughout the world.<\/p>\n
J\u00e9r\u00e9mie Le Tarnec is fifty-five\u2019s resident expert in Digital Analytics and AT I\u2019d say Explorer,<\/em> because that\u2019s the entry point for operational The other interesting aspect of Explorer<\/em> is that it responds to very The Navigation<\/em> module is also very relevant for advertisers \u2013 who Some of our customers ask for user retention analyses, especially those Another major plus for Explorer <\/em>is the speed and efficiency of We mainly use Data Query<\/em>, the complementary component of Explorer<\/em>. For example, for a client in the media industry, we used Data Query<\/em> To take another example from the banking sector \u2013 Data Query<\/em> is used Data <\/em>Query is also used as a query tool for dashboarding. In Analytics has become more democratic in recent years. We can see this at To address this, we use AT Internet\u2019s dashboard tool, whose dataset editor To sum up, I would say that it At the end of October, I had the opportunity to test the AXON<\/em> insights Simply put, the module makes it possible in almost a single click to see Last year, the AT Internet team came to present us with the product roadmap, and I must say that their commitments have been kept and even exceeded in terms of development and respect of the schedule, notably thanks to the latest releases [Data Query 3<\/em> and AXON<\/em>]. Our teams are satisfied with the product, and it\u2019s really nice to see that a French solution offers such a complete analytical offer. Our expectations are now all the greater as the user experience has become more complex over the years. And following the recent announcements made at the Digital Analytics Forum<\/a>, we are looking forward to the next developments around segmentation and custom metrics!<\/p>\n fifty-five<\/a> helps brands make optimal use of data and technology to develop more relevant, innovative and effective marketing strategies. Strategy consulting, data architecture, media consulting, customer experience\u2026 The complementary nature of its expertise enables it to guide more than 200 prestigious brands in a multitude of sectors. Founded in Paris in 2010 by former Google Europe executives, the company has quickly established itself as a pioneer in data consulting, and today has more than 250 employees in Paris, London, Shanghai, New York, Hong Kong, Geneva, Shenzhen and Taipei. fifty-five is part of You & Mr Jones<\/a> the world\u2019s largest Brandtech\u2122 group.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":" fifty-five helps brands to make optimal use of data and technology to develop more relevant, innovative and effective marketing strategies. Their team includes specialist digital consultants, and data engineers, as well as experts in tracking, advertising technology and media \u2013 a synergy that enables the data company to guide the marketing teams of major brands […]<\/p>\n","protected":false},"author":1,"featured_media":71892,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[12765,30306,20547,6855,26666],"dealstore":[],"offerexpiration":[],"class_list":["post-71891","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-analytics","tag-fiftyfive","tag-internets","tag-questions","tag-suite"],"yoast_head":"\n
\nInternet. Prior to fifty-five, he worked in the digital banking sector
\n(BforBank) on acquisition, e-merchandising and analytics missions on web
\nperimeters and mobile applications \u2013 putting his expertise at the service of
\nadvertisers. Today, he trains and coaches around 25 fifty-five consultants,
\nmainly on Analytics and CRO (conversion rate optimisation) projects for some
\nfifteen clients in the banking, media, retail, tourism and automotive sectors.
\nHis role as a key advisor leads him to regularly exchange with editors of
\ncustomers\u2019 analytical solutions, especially AT Internet, to follow product
\nroadmaps and pass on this knowledge to consultants. In this interview, he
\nreveals his favourite features in the Analytics Suite<\/em>!<\/p>\nWhich AT Internet functionality is essential in your opinion?<\/strong><\/h2>\n
\ndata management. It is the first tool used by fifty-five experts when they
\nstart an assignment with a client using AT Internet. With Explorer<\/em>, they
\nhave quick and easy access to key metrics of digital business and a macro view
\nof web data and mobile applications. It is a first level of granularity on the
\nglobal audience, content, and traffic sources, while providing contextualisation
\nof the data. <\/p>\n
\nspecific issues. In the tourism sector, for example, monitoring cross-sell
\nperformance through self-promotion of a product is very simple. It is easy to obtain
\nmetrics such as clicks, impressions and cross-sell conversions. To give another
\nexample \u00ad\u00ad\u00ad\u00ad\u00ad\u2013 the analysis of the internal search engine makes it possible to easily
\nfind the keywords typed by visitors on a website and quickly identify possible flaws
\nand areas for improvement in a product or service. <\/p>\n
\nare often looking to follow the navigational routes and analyse all the steps
\nin the visitor\u2019s journey following the home page entry point. Now it is
\npossible to accurately and easily identify throughput rates and leakage points.<\/p>\n
\nwhose business is very app centric. For example, you can find out how many
\npeople use an application after it has been downloaded from an app store.
\nThanks to Explorer<\/em>\u2018s user-centric analyses, it is possible to analyse
\nthis with retention models. AT Internet allows them to reconcile visitor-specific
\npaths between app and web with a comprehensive view of the cross-device and
\ncross-assets part (based on identified visitors<\/em>). I\u2019m thinking in
\nparticular of the Venn diagram visualisation, which is very useful for our
\nteams, who can easily import them into presentations. <\/p>\n
\nrunning reports and analyses in an interface that gives almost immediate access
\nto data, without getting lost in too much depth of analysis, a problem you can
\nencounter with other analytics providers.<\/p>\nWhich tool is particularly suited to advanced data mining?<\/strong><\/h2>\n
\nIts use requires some training, but it is the tool that, in my opinion, makes
\nAT Internet\u2019s Analytics Suite <\/em>a standout solution! It is reserved for
\ncertified users who are familiar with the world of AT Internet and fully
\nunderstand the nomenclature of sites, dimensions and metrics of the product. <\/p>\n
\nto measure the performance of video content through A\/B testing to optimise the
\nuser experience. To quantify our tests, we make direct use the AT Internet
\nsolution where we recover all the performance of the variants using native
\nconnectors (reference to Kameleoon<\/em>). Once in the query tool, the test
\ndata can be cross-referenced or associated with a wide range of custom indicators
\n(e.g. conversion rate, click rate, read rate) and thus obtain a true
\nmultidimensional analysis to determine the winning variant.<\/p>\n
\nfor the analysis of complex paths. For issues relating to the subscription of
\n100% online banking products, the tool enables all points of contact to be
\nreconciled, even when there has been a break in the process: application to
\nopen an account on the site, return of supporting documents\u2026 In other words,
\nmany steps that are suspended and performed at different times. The coherence
\nof this type of analysis requires of course a reliable collection, with the
\npresence of a unique identifier (order id or id of an identified visitor).<\/em><\/p>\n
\npractice, different datasets can be created in the tool and exported via APIs
\nto dashboards or data visualisation tools. <\/p>\nHow does AT Internet\u2019s solution meet very specific business needs?<\/strong><\/h2>\n
\nfifty-five because we are receiving an increasing number of requests for
\ntraining in analytics from cross-functional professions such as product owners,
\nproduct managers, e-commerce managers, acquisition managers in the media sector
\nand even decision-makers (C-Level). All sectors are in demand, whether they are
\npure players or traditional players whose main activity is offline.<\/p>\n
\nwas redesigned and improved last year. It offers the various data user
\nbusinesses a type of visual and graphic information that is well suited to the
\nneed for simple reading and understanding of the data. This data visualisation
\ntool allows them to easily retrieve analyses without spending too much time on
\nit. Once dashboards are created, our experts can contextualise multi-site data,
\nstructure and prioritise information and share it easily. The degree of customisation
\nis also very advanced, there are a multitude of representations and themes that
\nproduce their effect when the dashboards are delivered to the customers. For
\nexample, a Product Owner will be able to consult the KPIs of the throughput or
\nclick rates of their insurance simulators every morning, to prioritise the
\nfeatures to be developed or optimised in their product, without having to
\nconnect to the AT Internet interfaces. <\/p>\n
\nis the ideal training tool for non-analytical profiles who want to follow
\nspecific KPIs adapted to the complexity of their business on user-friendly
\ndashboards<\/p>\nAmong the latest Data Science-oriented innovations, which one stands out for you?<\/strong><\/h2>\n
\nprediction module on anomaly detection and contribution analysis. I was very
\nimpressed by the power and value provided by this feature based on machine
\nlearning algorithms. <\/p>\n
\nwhere a decrease or increase in traffic considered as an anomaly comes from.
\nThe system automatically finds and identifies the exact page affected by the
\ndata variation. The time savings are enormous because it cuts out tedious
\ninvestigative tasks. Customers, even without analytical expertise, are also
\nable to find and explain possible problems themselves. At a media client analysing
\nvideo content, for example, we had identified a significant drop of 15,000
\nvisits. With a few clicks, the main page affected, and its provider were
\nidentified. Having a global vision of the market for analytical solutions, I
\ncan say that it is the most complete in the field of machine learning. And
\nthat\u2019s a view shared by the other employees of the agency.<\/p>\nAnything to add?<\/strong><\/h2>\n
![\"5](\"https:\/\/blog.atinternet.com\/wp-content\/uploads\/2020\/01\/580x100-1.gif\")
<\/a><\/figure>\n