Category Archives: Analytics

Combine Data in Domo for Deeper Strategic Insights

Today’s data-driven marketers struggle to track and measure campaigns spanning a variety of disparate channels, technologies, and audiences. Reporting is time consuming and overwhelming, especially when you manually pull reports from each tool and cobble the insights together. Luckily, a business intelligence (BI) tool, like Domo, is a lifesaver for the time constrained, data-driven marketer.

BI tools turn huge swaths of data into simple visualizations (called “cards” in Domo) to cut through the clutter and reveal the big picture. By letting us connect disparate data sources into a single system, we can layer and analyze complex data instantaneously, without the typical headaches associated with manually pulling reports (and pulling our hair out).

Today, we’ll highlight a few Domo cards demonstrating how combining data sources in a BI tool offers deeper, actionable insights to improve your marketing strategy and business.

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Automate Manual Tasks to Take Back Your Day

Ever feel like Stretch Armstrong – pulled in too many directions?

To Do List

If you’re like most sales, e-commerce, and marketing teams, you face an overwhelming daily task list that leaves too little time for the fun stuff – analyzing results, optimizing performance, and strategizing your next big sale or campaign.

We’re lucky to have more opportunities than ever to engage our omni channel customers. Accenture reported that multi-channel customers (visiting a combination of our website, social networks, sales reps, and in-store) are 15% more profitable than digital-only customers and 25% more profitable than human-only experiences. The opportunity is huge, but means we’re creating more campaigns, analyzing more data, and ultimately, juggling more balls.

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30 Minute Webinar Recap: Google Analytics 101

Thank you to all who joined us for the webinar.

Below, you’ll find the webinar recording, slides, and case study.

Need some hands-on help? Set up your free 30-minute consult with our Customer Insights team.

Watch the Webinar Recording:

Get the Slides and Resources:



Analytics tip – 3 metrics to benchmark holiday success

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.


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New Google Ad Suite Branding

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.

Let’s quickly review each.
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Business Intelligence vs. Predictive Analytics

This month, we welcome a guest blog post from our Business Analyst, Bryan Sauka.

BryaBryan manages Whereoware’s business intelligence tools, develops predictive models, analyzes data, and identifies trends to help Whereoware clients make data-driven decisions.

If last year’s buzzword “big data” is about capturing and understanding data, intelligence is about achieving big-picture insights and making data actionable.

Today, we’re breaking down business intelligence (BI) and predictive analytics to help you understand how each can impact your business.

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Webinar Recap: Predictive Analytics 101

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.

Want hands-on help? Set up your free 30-minute consult with our customer insights team.

Watch the Webinar Recording:

Get the Resources:

 

 

 

Webinar Recap: Google Analytics 101 Slides, Checklist, + Recording

Thank you to everyone who joined us for our November webinar: Google Analytics 101. We shared how to get started, our favorite reports, and tips + tricks.

Missed the webinar or need a refresher?

Get the slides

Watch the webinar:

Download the Google Analytics Checklist:



Google Analytics Tip – Using Demographics and Interests Data to Develop Personas

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.)

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Mud Pie: Digital Analytics, UBX, & Real-Time Emails



Mud Pie-ubx-case study

Who

Mud Pie is a B2B + B2C retailer of trendy and seasonal baby clothes, women’s apparel, gifts, home décor, and more.

What We Did

First we installed IBM’s Digital Analytics to the Mud Pie website, then we used IBM Universal Behavior Exchange to establish a connect between Digital Analytics and IBM Marketing Cloud.

Results

Get the case study to see how targeted real-time emails achieve open rates over 35%.