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Marketing Data Presented September 23, 2014 by Monique Sherrett

Introduction to Marketing Data: What to measure and why

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A quick look at the customer lifecycle and how to apply what marketing data is collected and used to measure success.

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Page 1: Introduction to Marketing Data: What to measure and why

Marketing Data

Presented September 23, 2014by Monique Sherrett

Page 2: Introduction to Marketing Data: What to measure and why

Sales Volume Analysis

Units Sold 800 900 1000 2000 3000

Sale price per unit (retail $)

Fixed Costs

Variable Costs(unit cost*units sold)

Total Costs (Fixed+Variable)

Total Sales @47% vendor discount

Net Profit (Loss)Total Sales-Total Costs

$45 $45 $45 $45 $45

$12,500 $12,500 $12,500 $12,500 $12,500

Page 3: Introduction to Marketing Data: What to measure and why

Sales Volume Analysis

Units Sold 800 900 1000 2000 3000

Sale price per unit (retail $)

Fixed Costs

Variable Costs(unit cost*units sold)

Total Costs (Fixed+Variable)

Total Sales @47% vendor discount

Net Profit (Loss)Total Sales-Total Costs

$45 $45 $45 $45 $45

$12,500 $12,500 $12,500 $12,500 $12,500

$7,520 $8,460 $9,400 $18,800 $28,200

$20,020 $20,960 $21,900 $31,300 $40,700

$19,080 $21,465 $23,850 $47,700 $71,550

-$940 $505 $1,950 $16,400 $30,850

Page 4: Introduction to Marketing Data: What to measure and why

Where do we break even?

Units Sold 600 700 800 900 1000

Sale price per unit (retail $)

Fixed Costs

Variable Costs(unit cost*units sold)

Total Costs (Fixed+Variable)

Total Sales @47% vendor discount

Net Profit (Loss)Total Sales-Total Costs

$45 $45 $45 $45 $45

$12,500 $12,500 $12,500 $12,500 $12,500

$5,640 $6,580 $7,520 $8,460 $9,400

$18,140 $19,080 $20,020 $20,960 $21,900

$14,310 $16,695 $19,080 $21,465 $23,850

-$3,830 -$2,385 -$940 $505 $1,950

Break-even = Fixed Costs . (Unit Price - Unit Variable Cost)

Page 5: Introduction to Marketing Data: What to measure and why

BookNet Canada — Noah Genner

Assignment

Watch one of these 30 min videos from BookNet Technology Forum. Think of 2 questions to ask Noah about sales data or issues related to the book market in Canada.http://booknetcanada.wistia.com/projects/54lyqdicv0

Page 6: Introduction to Marketing Data: What to measure and why

Not everything that counts can be measured.

Albert Einstein

Not everything that can be measured counts.

Page 7: Introduction to Marketing Data: What to measure and why

There are 2 things we like to measure:

Things that lead to sales

Sales

Page 8: Introduction to Marketing Data: What to measure and why

Things that lead to sales

Sales

Website Visitors

Twitter Followers

Facebook Fans RTs

Press MentionsEmail Opens

Customer Feedback

Page 9: Introduction to Marketing Data: What to measure and why

Your Online Ecosystem

OWNYour website

(mobile, desktop)Email lists

RENTTwitter

FacebookYouTube

EARNEDPublicity

PAIDAds

Page 10: Introduction to Marketing Data: What to measure and why

Things that lead to sales

Revenue

Acquisition Website Visitors, time on site

ActivationNumber of pageviews, repeat visits, subscription (email, blog), account sign-up (profile data), Fan/Follower

Retention Email Opens, Click-throughs, Repeat visits

ReferralPress Mention, RT,

Refers 1+visitors to the site; Refers 1+ visitors who activate

Page 11: Introduction to Marketing Data: What to measure and why

Things that lead to sales

Revenue

AttentionDiscoverability, attracts attention,

creates awarenessPublicity, ads, events, placement

InterestAttractive, relevant message,

promise of reward or satisfactionContent, Newsletters, Social Media,

Blogs

Desire Urgency, benefits, must-have effectExcerpts, microsites

Action Purchase, order, subscriptionTestimonials

Acquisition

Activation

Retention

Referral

Page 12: Introduction to Marketing Data: What to measure and why

Deconstructing a Landing PageATTENTION

Discoverability, attracts attention, creates

awarenessPublicity, ads, events,

placement

INTERESTAttractive, relevant message, promise

of reward or satisfactionContent,

Newsletters, Social Media, Blogs

DESIREUrgency, benefits, must-have effect

Excerpts, microsites

ACTIONPurchase, order,

subscriptionTestimonials

Page 13: Introduction to Marketing Data: What to measure and why

Questions?

Page 14: Introduction to Marketing Data: What to measure and why

What to measure and why

ACQUISITION BEHAVIOUR CONVERSIONS

What are you doing to attract traffic to the site?

What happens after they land on the site?

What actions do they take that impact your

business?

Page 15: Introduction to Marketing Data: What to measure and why

Website: What to measure and why

ACQUISITION BEHAVIOUR CONVERSIONS

What are you doing to attract traffic to the site?

What happens after they land on the site?

What actions do they take that impact your

business?How do you create

awareness or discoverability of your site/

titles?

Do you find and bring the right people to the site?

Do you deliver a worthwhile experience?

What do people see? What’s under

consideration?

Do you get some revenue or long-term value from

visitors to the site?

Sales? Other trackable, revenue-based outcomes?

Attentionpublicity, ads, events,

placement

Desire, Intent, Actionsign up, follow, content viewsdownloads, engagement w/

micrositesreferral, testimonial, review

Salespurchase, order, subscription

Page 16: Introduction to Marketing Data: What to measure and why

Social Media: What to measure and why

ACQUISITION BEHAVIOUR CONVERSIONS

What are you doing to attract traffic your profile

or posts?

What happens after they see your post or profile?

What actions do they take that impact your

business?Awareness or discoverability of your social media activity?

Right people see the content?

What share of voice? Visibility , reach

Worthwhile experience?

What do people see? When do they see it? What days/hashtags etc have the most

engagement? What’s under consideration/

shared/amplified?

Do you get some revenue or long-term value from social

media?

Sales? Other trackable, revenue-based outcomes?

Attentiondid ppl see it: tweet, ads

Desire, Intent, Actiondid they click, want more, did they like it/share it, follow/fan

Salesdid they buy it; did a click thru

result in a sale, sub, etc.

Page 17: Introduction to Marketing Data: What to measure and why

Cost per Click

• Pay per Click (PPC) advertising

• Cost per Click (CPC) is the amount you pay each time someone clicks your ad

• If you spend $5,000 on ads and get 10,000 clicks, this is a CPC of $0.50Cost ÷ Clicks = CPC$5,000 ÷ 10,000 = $0.50

Page 18: Introduction to Marketing Data: What to measure and why

Conversion Rate = % Visitors Who Convert (or Take Action)

In ecommerce, it refers to the % of Visits that convert to OrdersNumber of Orders ÷ Number of Visits = Conversion Rate

Eg., a website that generated $100,000 of sales through 2,000 orders in a month with 40,000 visits, has a ...

2,000 ÷ 40,000 = 0.5 = 5% ecommerce Conversion Rate

Calculate the Average Order: $100,000 ÷ 2,000 = $50 AOV

This means that 5 out of 100 visits turn into an average of $50 revenue

This can then be used to project revenue for a campaign. How much revenue is generated with another 5,000 visits?

Number of Visits × CR × AOV = Projected Revenue(5,000 × 5%) × $50 250 × $50 = $12,500

# transactions$ Revenue

# Visits

Page 19: Introduction to Marketing Data: What to measure and why

Quiz

You’re running an online advertising campaign on your publisher website promoting a bestselling novel.

• The goal is 2,000 pre-orders.

• The list price of the book is $29.99.

• You’ve spent $5,000 on ads.

• Your ads have received 400,000 impressions (time your ad was shown) and that generated 12,000 visits to your site, which generated 200 pre-orders to date. There are no returns.

What is the conversion rate for pre-orders from this ad campaign? Round to 1 decimal point.

What is the net income (total revenue - expenses) this ad campaign generated?

Page 20: Introduction to Marketing Data: What to measure and why

Questions

Contact InfoMonique [email protected]

Page 21: Introduction to Marketing Data: What to measure and why

A simple Contest

• Reach a new audience or reinforce our connection to an existing audience

Goal Lifecycle Action Reaction Metrics

Reach a new audience

AcquireActivateRetain

ListenIntroduce

ResponseVisit to the site

SubscribeReturn

@ / RT / CommentVisitors

Subscriptions (email/RSS)Fan/Follower

Account sign-upReturn Visits

Reinforce our connection to

existing audience

RetainReferralRevenue

Talk Pitch

Thank

ResponseVisit the site

ActRefer

@ / RT / CommentRepeat visitsEmail opens

CTR / Goal FunnelMentionsReferrals

Referrals who convert

Page 22: Introduction to Marketing Data: What to measure and why

A simple campaign to build Reputation

• Use a blog to establish authority / expertise for an author. • Focus on writing good content first and self-promotion second

Goal Metrics

Nth position in relation to competitors by a certain date

Pagerank + # inbound links from influential blogsGoogle Position in Search Results

X% increase of traffic per month

Volume of organic traffic per month# inbound links from influential sites

# email subscribers or fan/followers who can be directed to the site

X$ per month attributable to referrals from blog

Segment and Funnel: Traffic that converts to sales

Page 23: Introduction to Marketing Data: What to measure and why

A really simple campaign to increase Engagement

• Be nice to customers who mention your company / authors / titles on Twitter

Goal Metrics

Increase # positive conversations

# positive comments sent to customers per week w/in given timeframe

# of conversations that started from those comments

# additional activation points

Page 24: Introduction to Marketing Data: What to measure and why

A problematic campaign to increase Offline Sales

• Implement a promotion on social media with a specific store. • Give participants a printable campaign voucher so you can track offline sales

Goal Metrics

Download voucher Goal Funnel: Impressions, Form Completion; Downloads

$ monthly sales monthly sales

% increase in store traffic over pre-promo period monthly store traffic

Attact an audience in a particular area traffic from particular area

Page 25: Introduction to Marketing Data: What to measure and why

A simple campaign to increase Online Sales

• Use Twitter or Facebook to inform prospects about special promotions. • Exclusive, limited-customer/limited time offers.

Goal Metrics

Increase monthly sales monthly sales attributable directly to SMM

Increase % value from new customers Segment & Funnel: new customers attributable directly to campaign

Increase conversions from Twitter traffic

Segment & Funnel: monthly revenue generated from customers from Twitter

Retain X% of new customers Repeat customers from that groupUnsubscribe rates

Page 26: Introduction to Marketing Data: What to measure and why

Social Media Measurements

Monique Trottier@BoxcarMarketing

Platform Ratio of Posts to X Peak Conversion Content Resonance

Email Opens DayTime of Day

OpensCTR

Unsubscribes

Twitter RTs DayTime of Day

RTs@

Recos

Facebook Interactions DayTime of Day

LikeShare

Comment