{"id":2955,"date":"2017-12-18T16:36:50","date_gmt":"2017-12-18T11:06:50","guid":{"rendered":"http:\/\/www.intelligencenode.com\/blog\/?p=2955"},"modified":"2026-03-30T14:05:03","modified_gmt":"2026-03-30T08:35:03","slug":"fitbit-charge-2-data-can-help-fitbit-win-category-back","status":"publish","type":"post","link":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/","title":{"rendered":"Fitbit Charge 2: How Big Data Can Help Fitbit Win the Fitness Category Back"},"content":{"rendered":"

Fitbit had a tough time maintaining its status quo as the category leader in fitness trackers and overall wearables in 2017. Falling to the third place for the first time in the first quarter of 2017, between Chinese gadget maker Xiaomi and Apple, what the fitness brand could do with is a little introspection. Product pricing and timing impacts, not just the sales, but also its visibility at an online store. Working on this factor can help Fitbit elbow out the competition, all with the right data.<\/span><\/i><\/span><\/p>\n

<\/p>\n

We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand. <\/span><\/p>\n

Using our analytics, Fitbit can study in detail about the eCommerce stores from segregated geographies across the world that are selling their product. Retail can deliver a live comparative analysis of the prices\u2014ensuring that their merchandising teams can quickly adopt optimum margins and maximize sales<\/a> revenue.<\/span><\/p>\n

Building A Deeper Insight Into Global Competition<\/h2>\n

\"Fitbit<\/p>\n

Fitbit Charge 2 is sold not just by sports apparel and fitness stores, but also by multi-brand eCommerce giants. A large chunk of Fitbit sales in for each region come from Amazon.com (USA), Flipkart (India), Target (Canada), Currys (UK), PC World (UK) and Tokopedia (Indonesia).<\/span><\/p>\n

By studying these retailers, Fitbit manufacturers can have a clearer idea of where the product stands in the current market.<\/span><\/p>\n

Real-Time Updates In Data<\/h2>\n

A dashboard screenshot of the product pages reveals where the Fitbit Charge 2 is up for sale. With the Compare & Analyse module of <\/span>Incompetitor \u2122<\/span><\/a> manufacturers can do a comparative study of FitBit Charge 2 pricing over time. <\/span><\/span><\/p>\n

This gives a broader picture, enabling Fitbit to stay up-to-date with the changes and create successful marketing strategies for the future. It makes global price comparison for Fitbit Charge 2 a matter of a few clicks and couple of seconds.<\/span><\/p>\n

\"price<\/p>\n

By going through the single view USD currency chart, it is learnt that the prices have been constant for Curry\u2019s (UK) and variable for Flipkart (India), while Target (USA) sells the product at a minimum price.<\/span><\/p>\n

Relationship Between Price And Visibility \u00a0– Price Sensitivity<\/h2>\n

\"Fitbit<\/p>\n

Let\u2019s take into consideration the<\/span> price vs time<\/i><\/b> and <\/span>visibility vs time<\/i><\/b> graphs for Flipkart. It is observed that there is an inverse relationship between prices and visibility. For instance, from August 2015 to September 2015, when the prices increased, the visibility of the product declined in comparison to its competitors and it also means that this product is price sensitive. <\/span><\/span><\/p>\n

This metric allows FitBit Charge 2 manufacturers deploy a specific pricing strategy<\/a> for a particular online store. The brand can define custom prizing rules which are meant specifically for the product, and auto-generate smart prices that always competitive while pushing maximum margins.<\/span><\/p>\n

\"Graph<\/p>\n

Let us take another example. As far as Target is concerned, there is a huge fluctuation in the visibility for September 2015, even while the product price remained constant. This could have \u00a0been related to the release of the Apple Watch this year.<\/span><\/p>\n

Huge differences between the pricing of the Apple watch and the Fitbit Charge 2 can ensure the gradual increase in the visibility of FitBit Charge 2.<\/span><\/p>\n

An Insight Into Consumer Preferences Based On Geographic Location<\/h2>\n

\"Graph<\/p>\n

A detailed insight into consumer preferences based on the consumer\u2019s geographic location allows for decisive assortment planning<\/a>. For instance, Curry\u2019s sales charts show that the teal blue colour for Fitbit Charge 2 is the most preferred colour in the UK market.<\/span><\/p>\n

\"Graph<\/p>\n

Using Data To Deploy Better Marketing Strategies<\/h2>\n

Fitbit Charge 2 manufacturers can use retail data analytics to get real-time insights to revise their product release strategies, helping them make better marketing decisions combined with intelligent pricing strategies<\/a>.<\/span><\/p>\n

We\u2019ll be up looking at the data while you\u2019re chasing bigger targets.\u00a0<\/em>Optimize your\u00a0retail business and always stay ready for the New Age Shoppers.<\/em>\u00a0 Request a Demo!<\/a><\/span><\/span><\/p>\n

\"Schedule<\/a><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Fitbit had a tough time maintaining its status quo as the category leader in fitness trackers and overall wearables in 2017. Falling to the third place for the first time…<\/p>\n","protected":false},"author":2,"featured_media":2964,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[4],"tags":[942,592,609],"class_list":["post-2955","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","tag-price-sensitivity","tag-real-time-data","tag-retail-analytics"],"yoast_head":"\nFitbit Charge 2: The Data-Driven Strategy for Category Revival<\/title>\n<meta name=\"description\" content=\"We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Fitbit Charge 2: How Big Data Can Help Fitbit Win the Fitness Category Back\" \/>\n<meta property=\"og:description\" content=\"We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/intelligencenode\" \/>\n<meta property=\"article:published_time\" content=\"2017-12-18T11:06:50+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-30T08:35:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"895\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Intelligence Node\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bigdataNODE\" \/>\n<meta name=\"twitter:site\" content=\"@bigdataNODE\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Intelligence Node\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Fitbit Charge 2: The Data-Driven Strategy for Category Revival","description":"We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/","og_locale":"en_US","og_type":"article","og_title":"Fitbit Charge 2: How Big Data Can Help Fitbit Win the Fitness Category Back","og_description":"We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand.","og_url":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/","og_site_name":"Blog","article_publisher":"https:\/\/www.facebook.com\/intelligencenode","article_published_time":"2017-12-18T11:06:50+00:00","article_modified_time":"2026-03-30T08:35:03+00:00","og_image":[{"width":895,"height":400,"url":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","type":"image\/jpeg"}],"author":"Intelligence Node","twitter_card":"summary_large_image","twitter_creator":"@bigdataNODE","twitter_site":"@bigdataNODE","twitter_misc":{"Written by":"Intelligence Node","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#article","isPartOf":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/"},"author":{"name":"Intelligence Node","@id":"https:\/\/www.intelligencenode.com\/blog\/#\/schema\/person\/dec96545f790884e8a05f794934695f1"},"headline":"Fitbit Charge 2: How Big Data Can Help Fitbit Win the Fitness Category Back","datePublished":"2017-12-18T11:06:50+00:00","dateModified":"2026-03-30T08:35:03+00:00","mainEntityOfPage":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/"},"wordCount":646,"image":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#primaryimage"},"thumbnailUrl":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","keywords":["Price Sensitivity","real-time data","Retail Analytics"],"articleSection":["Big Data"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/","url":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/","name":"Fitbit Charge 2: The Data-Driven Strategy for Category Revival","isPartOf":{"@id":"https:\/\/www.intelligencenode.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#primaryimage"},"image":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#primaryimage"},"thumbnailUrl":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","datePublished":"2017-12-18T11:06:50+00:00","dateModified":"2026-03-30T08:35:03+00:00","author":{"@id":"https:\/\/www.intelligencenode.com\/blog\/#\/schema\/person\/dec96545f790884e8a05f794934695f1"},"description":"We have focused on a particular product: Fitbit Charge 2 to illustrate what accurate Big Data insights can do for the brand.","breadcrumb":{"@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#primaryimage","url":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","contentUrl":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","width":895,"height":400,"caption":"Fitbit charge banner"},{"@type":"BreadcrumbList","@id":"https:\/\/www.intelligencenode.com\/blog\/fitbit-charge-2-data-can-help-fitbit-win-category-back\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.intelligencenode.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Fitbit Charge 2: How Big Data Can Help Fitbit Win the Fitness Category Back"}]},{"@type":"WebSite","@id":"https:\/\/www.intelligencenode.com\/blog\/#website","url":"https:\/\/www.intelligencenode.com\/blog\/","name":"Blog","description":"Intelligence Node Blog - Tips to Maximize Ecommerce Growth","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.intelligencenode.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.intelligencenode.com\/blog\/#\/schema\/person\/dec96545f790884e8a05f794934695f1","name":"Intelligence Node","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/7480bd94ee02b87b4ebf5881cdc6b554b7bad668d9932aab5765809e15ab9a2d?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/7480bd94ee02b87b4ebf5881cdc6b554b7bad668d9932aab5765809e15ab9a2d?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7480bd94ee02b87b4ebf5881cdc6b554b7bad668d9932aab5765809e15ab9a2d?s=96&d=mm&r=g","caption":"Intelligence Node"}}]}},"jetpack_featured_media_url":"https:\/\/www.intelligencenode.com\/blog\/wp-content\/uploads\/2017\/12\/fitbit-2.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/posts\/2955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/comments?post=2955"}],"version-history":[{"count":6,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/posts\/2955\/revisions"}],"predecessor-version":[{"id":14138,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/posts\/2955\/revisions\/14138"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/media\/2964"}],"wp:attachment":[{"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/media?parent=2955"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/categories?post=2955"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligencenode.com\/blog\/wp-json\/wp\/v2\/tags?post=2955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}