Katie Delahaye Paine CEO Paine Publishing
www.painepublishing.com | @queenofmetrics | measurementqueen@gmail.com
Return on Communications: Using data to make a strategic difference - - PowerPoint PPT Presentation
Return on Communications: Using data to make a strategic difference Katie Delahaye Paine April 4, 2017 CEO Kliping Conference Paine Publishing Ljubjana, Slovenia www.painepublishing.com | @queenofmetrics | measurementqueen@gmail.com Agenda
www.painepublishing.com | @queenofmetrics | measurementqueen@gmail.com
How to Make Sure You’re
How to get good data;
What the Point? Using
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Because the boss says so 47% Because some one thought it was a good idea 37% Because its cool 11%
5%
Social/traditional Digital/Social Marketing/Comms Internal/External CSR/PR Issues Management/PR The answer is: Influence vs everything
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76% measure website impressions 49% measure sentiment of media
Social media shares ranks 3rd 101 Chief Communications Officers 66/35 split between North America
$500 million + in revenue Sponsored by NASDAQ
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False
True
P&G found that PR delivered 8
Three of the six products
Overall PR delivered a 275%
1 2 3 4 5 6 7 8 Trade TV ad PR $ return on investment
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Miller discovered that PR
However, PR delivered that 4%
AT&T found that PR delivered
10 20 30 40 50 60 70 80 Trade TV PR
% of Spend vs % of incremental revenue
% of incremental revenue % of spend
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95 63 15 $0 $50 $100 Advertising Outbound telemarketing PR Cost per customer acquisition
Step 1: Define the goal What outcomes is this strategy or tactic going to achieve? What are your measurable objectives? Step 2: Understand the motivations to act Define the target audiences and what makes them act or change their beliefs? How do your efforts impact the goal? Step 3: Define the benchmarks Who/what are you going to compare your results to? Step 4: Define the metrics What are the key performance indicators to judge your progress? Step 5: Collect your data Step 6: Analyze the data Find insight, turn into action, and measure again!
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1 2 3 4 5 6
What return is expected?
Define your champagne moment
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0% 20% 40% 60% 80% 100% TAC Manuscript One Source HAL Positive Messages No Messages Negative Messages
Percent of impressions containing messages by product
$0.00 $0.50 $1.00 $1.50 $2.00 $2.50 TAC Manuscript One Source HAL
Cost per message communicated
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What are management’s priorities? Who are you are trying to reach? How do your efforts connect with those audiences to achieve the goal? What influences their decisions? What’s important to them? What makes them act? What’s a realistic budget?
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Business goals or Mission Define communications goals Define audiences and influences Define metrics Prioritize Implement
What’s the path?
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50 100 150 200 250 300 20000 40000 60000 80000 100000 120000 140000
Relationship between ACA Program Mentions and Site Visits
Site Visits Program Mentions
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0.41 0.44 0.47 AC items ACA items ACA Optimal Content Score Correlations between Web Visits and PR Metrics Pearson r. value
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Past performance over time
Peers/Competitors
What keeps leadership awake at night?
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You become what you measure, so pick your
How do you influence change?
The Perfect KBI:
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Increase high quality leads Increase awareness/ preference Publicity Social Media
media quality score
social sharing
awareness/pref erence
content analysis
Metrics
Research Increase/save revenue Increase engagement Increase trust Events Content Creation
attendance
engagement with content
trust
engagement
Research
Analytics
Metrics
5/5/2017
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Increase high quality leads Increase awareness/ preference Publicity Social Media
media quality score
social sharing
awareness/pref erence
content analysis
Metrics
Research Increase/save revenue Increase engagement Increase trust Events Content Creation
attendance
engagement with content
trust
engagement
Research
Analytics
Metrics
5/5/2017
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Increase high quality leads Increase awareness/ preference Publicity Social Media
media quality score
social sharing
awareness/ preference
content analysis
Metrics
Research Increase/save revenue Increase engagement Increase trust Events Content Creation
attendance
engagement with content
trust
engagement
Research
Analytics
Metrics
5/5/2017
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Desirable Photo Dispels a Myth Signature Experience Call to action or recommendation
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3rd Party Recommendation Key message Spokesperson quote Desirable positioning
Positive:
Mentions of the brand Positive brand mentions Key messages Customer quoted positive Analyst quoted Positioned as trusted partner Positioned as vendor of choice Recommendation Call to action
Negative:
Omitted Negative tone (less likely to
No key message No quote Inaccurate
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Desirable Criteria Score Undesirable Criteria Score Positive: Leaves reader more likely to purchase, work for, or invest OR less likely to oppose 1 Negative: Leaves reader less likely to purchase, work for, or invest OR more likely to oppose
Contains one or more positive messages 3 Contains one or more negative messages
Event/Program is mentioned 2 No Event/Program is mentioned Positive headline 2 Negative headline
Third-party endorsement 1 Recommends competition
Contains desirable visual 1 Contains undesirable visual
Total Score 10 Total Score
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Do you have sufficient data? Do you have the right data? Are the time frames correct? Is sentiment accurate? Can you find the data you need?
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If you want to measure messaging,
If you want to measure awareness,
If you want to measure engagement,
If you want predictions and correlations,
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48.94% 68.31% 88.64%
0.00% 50.00% 100.00%
SDL UberVu NetBase % Agreement with human coding
33.12% 58.00% 7.84% 11.95% 26.53% 13.00% 0.32% 9.46% 40.35% 30.00% 92.11% 78.00%
SDL Beyond NetBase UberVu % positive %negative %neutral
100.00% 60.00% 17.65%
SDL UberVu NetBase % of alerts found SDL UberVu NetBase
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0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
1,000 5,000 10,000 15,000 20,000
Accuracy Comparison
Human Coded Computer Coded
$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500
1,000 10,000 20,000 Cost
Cost Benefit Analysis
Human Coded Computer Coded
Questions that need answering:
Who’s going to use the data? When do they need it? What are the objectives being measured? What’s the time frame? What conclusions do you need to draw? What programs need measuring? What are the basic requirements? What are the “nice-to-haves”? Who’s the audience? What’s the budget?
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Rank order results from worst to
Stop doing the “worst” performing
Ask “So What?” at least three
Find your inner “Data Geek” (or
Compare to last month, last
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What were the objectives? Who’s the audience?
Rank from worst to best Run correlations
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0% 20% 40% 60% 80% 100% Application articles Contract wins Exec Interview Media advisory Release + conference Press release plus VNR Product review Industry issue Trade show/event
No Message Negative Message Positive Message
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A Pearson correlation addressed
GT could potentially increase its
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50 100 150 200 250 300 20000 40000 60000 80000 100000 120000 140000
Relationship between ACA Program Mentions and Site Visits
Site Visits Program Mentions
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0.41 0.44 0.47 AC items ACA Items ACA OCS Scores
Correlations between Web Visits and PR Metrics
Pearson r. value
5.26 5.73 6.36 6.54 6.71 7.15 7.31 7.36 7.50 7.67 8.00 8.10 8.68 9.30 Miss America Meet AC DO AC July 4th Fireworks Air Show Blake Shelton Miss'd America Pageant Sand Blast Hello Summer Boardwalk Hall Light Show Challenge Triathlon Sand Sculpting World Cup Lady Antebellum Concert Free Entertainment Top Programs By Optimal Content Score (OCS)
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4 3.25 2.75 2.99 3.65 2.96 3.36 3.24 2.34 2.37 2.43 1.30
0.37
0.28 0.28
4.91 3.92 2.99 3.58 4.14 4.1 4.27 4.12 4.29 2.78 2.56 1.53
0.61 0.20 1.44 1.77 0.63
1 2 3 4 5 6 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May June
Average OCS
Average OCS Score Over Time
Atlantic City OCS without ACA Atlantic City OCS with ACA The red line represents coverage of Atlantic City minus all mentions of ACA and its programs
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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 2014 2015 Desirable 100.0066.67%44.44%70.69%70.49%41.26%40.04%24.52%40.96%66.59%37.53%70.27%85.27%89.19%84.96%79.51%80.52%86.14% Undesirable 0.00% 33.33%55.56%29.31%29.51%58.74%59.96%75.48%59.04%33.41%62.47%29.73%14.73%10.81%15.04%20.49%19.48%13.86%
100.00% 66.67% 44.44% 70.69% 70.49% 41.26% 40.04% 24.52% 40.96% 66.59% 37.53% 70.27% 85.27% 89.19% 84.96% 79.51% 80.52% 86.14% 0.00% 33.33% 55.56% 29.31% 29.51% 58.74% 59.96% 75.48% 59.04% 33.41% 62.47% 29.73% 14.73% 10.81% 15.04% 20.49% 19.48% 13.86% 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 120.00%
Number of Items
AC Broadcast Coverage Over Time
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100,000,000 150,000,000 200,000,000 250,000,000 300,000,000 200 400 600 800 1,000 1,200 1,400 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 2008 2009 Exposure (Opportunities to See) Coverage (Number of Mentions)
MADD Coverage & Exposure Over Time
Coverage Exposure
49 Amethyst Initiative
Repeat offenders, Holiday Travel & CNN.com Tampa WLM, Ignition Interlock Push, Obama
coverage skyrocketed in August, 2008 thanks to Amethyst.
comparison of results showed that Amethyst controversy was least effective of all message in terms
Donations
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Correlations shown between media quality and unique traffic to the destination site High Resource Events do not increase trust in the organization
High Lead Generation
Linked in Poss.
Resource Use
Low High Medium Very high
Total Volume of Leads
Very High Medium High Low Corporate video
High Resources Low lead Generation Low Resources
Partnership Employee-produced video Hashtag #loves Facebook Posts Ultimate Road Trip Series Contributed blog post Media Day Infographic
Mixed 0% Neutral 59% Positive 41%
Overall Tone of Traditional Media Coverage
7 12 2 274 837 507 142 56 347 Blogs Microblogs News
Tone by Media Type
Mixed Neutral Positive
Don’t be afraid of bad news You learn more from failure Suggest ways to improve Make sure you relate data to
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Red line indicates media impressions
35,152,789 OTS 6,253,852 OTS
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Don’t use metrics that you don’t
Don’t measure what’s easy Don’t clutter up your dashboard Don’t put numbers on it you can’t
Don’t use charts that people can’t
Get consensus on definitions of
Measure what matters –how you
Make your metrics tell a story Make sure your data is valid and
Test any indexes or algorithms with
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Visit Paine Publishing online: www.PainePublishing.com For any questions, email me:
Follow me on Twitter: @queenofmetrics Follow Paine Publishing on Facebook Or call me: +01-603-682-0735
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