Obviyo

United States · 17 Employees
GROW NEW REVENUE FROM EXISTING TRAFFIC. Rapid market changes are creating limitless opportunities for new revenue growth: • Mobile: the percentage of mobile shoppers is growing while its key metrics are lagging behind desktop – transform mobile shopping experience to close the revenue metrics gap. • Social: Social app users feel like they have to work hard to spend money in your store - make their shopping experience interactive and fun. • Personalization: 90% of your visitors never discover a product of interest and leave - use visitor live actions to fully monetize this traffic. • Content-led: Online stores are becoming lookalikes – stage unique buying experiences by blending branded content with personalized products. AMAZON FACTOR Amazon has set a high growth marketing bar. Almost every content block on Amazon.com is a growth marketing ‘hack', driven by its own data, strategy, content, and algorithm. OBVIYO REVENUE GROWTH AUTOMATION: Obviyo is easy enough to use for beginners and powerful enough for experts that need an enterprise-class solution. • Amazon's Algorithms: Obviyo is powered by the same algorithms that are driving personalization on Amazon.com. • Growth-bots: Productized growth scenarios – blending branded and dynamic content to simplify and automate the use. • Gallery and Playbooks: Learn and get inspired with playbooks to guide you on how to accomplish a specific business objective. FAMILIAR FEATURES DELIVERED IN A DIFFERENT WAY The difference is in using live visitor actions and context to recommend the most relevant items in real time: • Upsell and Cross-Sell from first page view and through all stages of the buying process • Recommendations to unlock revenue potential of 90% of your current non-buyers • Merchandizing across the entire site • Content management with a blend of editorial and personalized content • Optimization of profit margins and inventory

概述

国家 United States
成立时间 2006
总部 5901 Broken Sound Pkwy NW, #100, Boca Raton, FL 33487, US
电话号码 +1 561-368-3591
网站 http://www.obviyo.com
LinkedIn http://www.linkedin.com/company/obviyo
Twitter https://twitter.com/HiConversion
Facebook
员工数 17
行业 information technology & services,
简介 Turning product discovery on its head with a new method that will generate 3-5x more revenue from anonymous shoppers, within days from its activation.

技术

Google Analytics

Analytics and Tracking

Google Font API

Fonts

Google Tag Manager

Tag Management

Hiconversion

Online Testing Platforms

Hubspot

Marketing Automation

Mobile Friendly

Other

Outlook

Email Providers

Shopify

E-commerce Platforms

WordPress.org

CMS

常见问题

Obviyo 在哪里?

Obviyo 的总部位于 5901 Broken Sound Pkwy NW, #100, Boca Raton, FL 33487, US

Obviyo 的电话号码是多少?

Obviyo 的电话号码是 +1 561-368-3591

Obviyo 的官方网站是什么?

Obviyo 的公司官方网站是 http://www.obviyo.com

Obviyo 是做什么的?

Turning product discovery on its head with a new method that will generate 3-5x more revenue from anonymous shoppers, within days from its activation.

Obviyo 的业务有哪些?

personalization,machine learning,web analytics,ecommerce,optimization,a,b testing,product recommendations,merchandizing,shopify,bigcommerce,salesforce commerce cloud,magento

Obviyo 的年收入是多少?

Obviyo 的收入是 15500000美元

Obviyo 有多少员工?

Obviyo 有 17 名员工

Obviyo 属于哪个行业?

Obviyo 从事以下行业: information technology & services

Obviyo 使用什么技术?

Obviyo 使用的一些流行技术包括: Google Analytics,Google Font API,Google Tag Manager,Hiconversion,Hubspot,Mobile Friendly,Outlook,Shopify,WordPress.org

如何联系 Obviyo?

Obviyo 联系信息: 电话号码:+1 561-368-3591, 网站:http://www.obviyo.com, 邮箱:mco***@***.com

Obviyo 的社交媒体链接是什么?

Obviyo 领英:http://www.linkedin.com/company/obviyo,fackbook:,twitte:https://twitter.com/HiConversion

Obviyo 是一家上市公司吗?

不是

Obviyo 的最后一轮融资是什么时候?

Obviyo在2019-02-01T00:00:00.000+00:00结束了最后一轮融资,金额达3M$。

谁投资 Obviyo?

Obviyo 有 6 家投资者,包括 Littlebanc Advisors, LLC、、、、、。

管理层

Mark Conatser

Senior Lead Software Engineer

Jeff McKelvey

Principal Development Lead

Mick Levy

Relationship Manager

员工

Ichestnova

ведущий программист

Marcelo

Web Developer Optimization Analyst

Ivan Martinasevic

Data Optimization Analyst

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