Today’s customers are empowered with endless product choices and alternatives. Their buyer loyalty must be earned by delivering a personal and pleasant brand experience across channels.
According to Linkedin, 53% of customers are more likely to purchase when a brand personalizes its digital communication across channels. Similarly, Salesforce found that 52% of consumers are likely to switch brands if a company fails to deliver personalized interactions.
How do you achieve the level of personalization customers expect? Pharos by Whereoware equips Marketing and E-com teams withsimple, but powerful tools to amplify and personalize their marketing efforts across channels, deliver proactive customer service, deepen customer relationships, and increase sales.
B2B vendors are already in the holiday marketing swing to help their retailers fulfill inventory, while B2C brands are brainstorming and executing holiday campaign strategy for their stores, websites, emails, and more.
Everyone wants a piece of that huge holiday pie. Last year, holiday sales during November and December increased 5.5% over 2016 to $691.9 billion.
A smart digital strategy is step one to getting a big, fat piece of that seasonal spending. Of course, the best way to map out a winning digital strategy is to first look back at what worked last year.
To get started, we’ve outlined 3 Google Analytics metrics to benchmark from last season to help you develop this year’s marketing plan.
Conversions + most popular shopping days
First, identify the days your website saw the highest conversions last year.
To benchmark high-level conversion numbers from last season in Google Analytics, navigate to Conversions > Ecommerce > Overview.
The Overview graph at the top of the page displays the E-commerce Conversion Rate by default, but can be modified by clicking the dropdown. You can click “Select a Metric to add additional metrics, like Average Order Value, Quantity, Revenue, Transactions, and Unique Purchases. We selected Revenue and E-commerce Conversion Rate.
In June, Google announced changes to their Google Ad suite branding, effective July 2018.
To streamline the user experience across both small- and enterprise-level businesses, and simplify their brands, Google consolidated their current offerings into three new ad brands. The new ad suite includes: Google Marketing Platform, Google Ad Manager, and Google Ads.
Last month, we announced that Google AdWords is becoming Google Ads. Starting today, you will begin to see the new Google Ads brand reflected across our product, Help Center, and other channels. This will take several months to roll out fully. Learn more: https://t.co/E2rqPY3AJ2pic.twitter.com/V6KB0xoRJg
Thanks to everyone who joined us for our May webinar: Predictive Analytics 101. We introduced predictive analytics and demonstrated simple to sophisticated predictive analytics use cases, like how to identify at risk customers and re-engage them to reduce customer churn. Below, you’ll find the webinar recording, Mud Pie case study, and slides we promised you.
Marketers use email and website personalization to deliver a hyper-relevant online experience to every customer, but succeeding with online personalization isn’t easy.
According to Evergage, 88% of marketers say their customers expect a personalized experience, while 55% admit the marketing industry isn’t personalizing to those standards. What’s more, 46% of marketers would give their own company’s personalization efforts a “C” grade, or less.
Developing user personas is key to executing a successful personalization strategy. Personas, fictional representations of key audience segments, help marketers understand the needs and interests of their audience segments, so they can make their customer journey more personal and relevant.
To get started, we collect and analyze available data (both qualitative and quantitative) to understand what makes different audience segments tick, so we can group them within logical and actionable personas. Today, we’ll walk through how to use Google Analytics Demographics and Interests data (a free tool) to capture additional quantitative data to develop detailed personas.
(Already have your data? Get detailed steps on creating user personas and our handy persona worksheet here.)
Google is beta testing a new landing page testing and optimization tool that integrates with Google Analytics and Google Tag Manager called: Google Optimize.
Doesn’t This Already Exist?
Sort of. Google has been trying to get into the optimization game for a while now. It started with Google Website Optimizer which was discontinued in 2012 for Content Experiments in Google Analytics. This brought A/B testing into the Google Analytics tool. Google Optimize is their latest iteration. Google Optimize 360 is also in beta, but the main difference between Optimize and Optimize 360 is price. Google Optimize (sans 360) is free and thus a little more limited than the 360 enterprise version.
The Google Analytics 360 suite is the premium, paid-for suite of Google products. There are free versions of these but they have some limits to their capabilities.