This document summarizes a presentation about improving marketing analytics reporting to avoid reports that "land with a thud." The presentation focuses on three common mistakes: not asking the right questions, not considering the audience, and not providing enough context. To address the first mistake, the presentation recommends setting goals before launching initiatives and identifying metrics that align with the goals. For the second mistake, it suggests understanding the intended audience and their needs. For the third mistake, it advises providing benchmarks to show performance and explaining how different tactics fit within the overall sales process. The overall message is that effective reporting requires planning questions, audiences, and goals in advance to produce analyses that clearly communicate insights.

1. Ben Magnuson
Manager, Data Strategy
One North
www.onenorth.com
Why Your Digital Marketing
Analytics Land With a Thud

2. Introduction
• Manager, Data Strategy
• Founded the Data Strategy team
• One North is a digital agency with a long history of working with legal services
• Data Passions:
• Practical integrations of AI
• Inappropriately moving analysis to excel because it makes me feel at home
• Building out and connecting reporting systems across the Martech stack
• Baseball

3. Why Your Analytics Land With a Thud
This presentation focuses on how to build out your data and reports so they communicate clear ideas fast and
effectively.
To do so, we will look at three common mistakes and how to fix them:
1. You didn’t ask the right questions
2. You didn’t think about the audience
3. You didn’t provide context

4. Coronavirus effects have put more pressure on
Legal Marketers to improve reporting.
• Audience behavior shifted dramatically with the arrival of COVID-19 in March
• Thought Leadership traffic surged while traffic to Bios and Services dropped
• This has often led to a bigger spotlight on Marketing activity:
• What content is performing?
• How can I get more eyes on my traffic?
• What is Marketing doing to increase traffic to our services?

5. Example: How traffic changed in 2020

6. Example: How traffic changed in 2020

7. Example: How traffic changed in 2020

8. Example: How traffic changed in 2020

9. Example: How traffic changed in 2020

10. Example: How traffic changed in 2020

11. Example: How traffic changed in 2020

12. Example: How traffic changed in 2020

13. Poll
How has your traffic change since March?

14. All eyes moved to Marketing Analytics
And there was some bad news there…

15. We have more analytics than ever…are we
getting better at it?
A survey of B2B Services CMOs
said only 27% of projects used
Marketing Analytics, its lowest
amount since 2017.
27% in 2020
• Why is it going down?
• Who thinks this will be
the case next year?

16. We have more analytics than ever…are we
getting better at it?
A survey of B2B Services CMOs
said only 27% of projects used
Marketing Analytics, its lowest
amount since 2017.
27% in 2020
• Why is it going down?
• Who thinks this will be
the case next year?

17. 74% of B2B Services cannot quantitatively measure
Marketing impact
For B2B Services, the percentage who said they
cannot prove the impact quantitatively jumped to
33% (up from 7% in 2019).
Source: CMOsurvey.org

18. Why is this?
Biggest reason is the increasing complexity of legal
marketing digital ecosystem.
• Multiple systems each reporting on one aspect of
marketing, but don’t play well together
• Different metrics for each one
• Hard to find talent with cross-disciplinary skills

19. And even when you have consolidated your analytics
and are ready to report, it still faces a big challenge

20. So, why do your analytics
land with a thud?

21. You didn’t ask the
right questions.
PART 1

22. Biggest mistake marketers new to analytics
make: Assuming the computer knows best

23. Don’t let the metrics available drive your analysis
Analytics presentations are chock full of too many metrics that are included
just because they are used by the product.
Example:
• Sitewide bounce rate
• Avg. Time on Page
• Impressions

24. Analysis starts prior to launch, not
post-launch
Goals need to be set during design on what a campaign,
page or even website is supposed to do.
If the Goal is… The measurement should be…
Brand Awareness Social reach, pageviews, email opens, etc.
Building out subscriber list Form submissions
Contacting Attorneys Email clicks, phone clicks, vCard downloads, etc.

25. The analytics brief
Purpose of Campaign:
Target C-suite to visit SPAC landing page promoting new team and services.
What we want to know about campaign performance:
• How many users viewed the landing page?
• How many visited the attorney pages?
• What roles were the users?
• How many contacted firm for more information?

26. Mapping metrics to questions
Question Metrics / System
How many users viewed the landing page? Users | Google Analytics, SiteImprove
How many visited the attorney pages? Pageviews with Previous Page set to /SPAC | GA,
Siteimprove
What roles were the users? Possibilities: User List from Marketing Automation,
Linkedin Ads
How many contacted firm for more information Contact Form Submissions | Google Analytics

27. The analytics brief completed
Purpose of Campaign:
Target C-suite to visit SPAC landing page promoting new team and services.
What we want to know about campaign performance:
• How many users viewed the landing page?
• How many visited the attorney pages?
• What roles were the users?
• How many contacted firm for more information?
Key Metrics:
Total Users, % C-Suite Users, Attorney Referrals, Contact Submissions

28. Not all questions can be answered with
quantitative analytics
What we want to know about campaign performance:
• Was our message compelling?
• Was it easy to find information about our services?
There are many user testing services that will allow
you to test the page design and messaging with test
groups recruited by the site:
Resources:
• Usertesting.com
• Userlytics
Example: Userlytics

29. Summary: How to ask the right questions
1. Set goals as early as possible
2. Create a section of an existing project brief, or create a measurement
brief where questions can be posed on how to judge performance
3. Identify or design metrics that align to answering the questions
Tip: Ask questions in a conversational voice. Stay away from assigning the solution
in your question – i.e. “How many pageviews did we get?”

30. You didn’t think about
the audience.
PART 2

31. Reading list
Storytelling with Data
By: Cole Nussbaumer Knaflic
• Great, accessible read on understanding key data
visualization principles
• Blog: www.storytellingwithdata.com

32. Who is the analysis for?
Nussbaumer Knaflic advises a Who, What, How approach:
Who
• Who is your audience?
• Are they data skeptics? Do they want it all? Successfully planning for
different audiences has huge benefits to the activation of the data internally.
• How does your audience see you?
• Are you familiar and trustworthy? New and invoke skepticism? Plan for this
with different levels of evidence and storytelling.
What
• What is it that your audience needs to know?
How
• How can I make this point?
• What data is available?

33. Who: Excellent analysis can fall flat if framed incorrectly.
A simple rule I use often works in designing analytics presentations.
Presenting above you:
Keep it explanatory - Frame your goals, activities to achieve them, and
how they performed.
Presenting below you:
Keep it exploratory – Show more available data, focus on how activities
influence higher-level goals.

34. What: is the analysis indicating?
3 Key Tips:
• Do not just show your work, even if you are very proud.
• Do not be afraid to tell the audience what to think based on the analysis.
• This is why you did the work!
• If the audience prefers to see all information, provide it after the key takeaways
or hide it in the addendum.

35. Stay away from:
Hint: I’ve used all of these, no judgment!

36. Do you see any trends?

37. The “Why don’t you tell ME what is important” analysis

38. The “Look at the big numbers” analysis
50,000
Users
620,000
Sessions
750,000
Pageviews
1:50
Time on Page
56%
Bounce Rate
1.50
Pages/Session

39. I know I said tell the audience what to think, but
make sure it’s backed up.
Don’t do this, please.

40. Key question: Do we know how to influence this metric if it’s
trending in the wrong direction?
• If you are focusing on pageviews, do you have tools to drive more pageviews?
• If you are focusing on bounce rate, do you know how to decrease it?
• If you are focusing on SEO, do you have tools to improve?

41. Summary: How to present to your audience
1. Do your homework on your audience – if it was worth doing the
analysis, it is worth presenting it to make the most impact.
2. Only present metrics you are familiar with and know how they are
impacted.
3. Don’t be afraid to tell your audience what to think.
Tip: Where possible, show how digital marketing goals aligned to firm goals.

42. You didn’t
provide context.
PART 3

43. Context setting is a Goldilocks problem
• Too much context and the audience can get lost in the amount of
information and miss the main point.
• Too little context and the audience can find it either too insignificant
or pointless.
Legal Marketers often provide too little context.

44. Problem: “Is that good?”
• This is something that can be easily solved.
• Always, always, always provide deltas or comparison points to let the
audience know whether the number is above or below expectation.
• Where comparison points aren’t possible, set prior targets based on
expectations, even if it is less than ideal.

45. Recall: The “Look at the big numbers” analysis
50,000
Users
620,000
Sessions
750,000
Pageviews
1:50
Time on Page
56%
Bounce Rate
1.50
Pages/Session

46. 50,000
Users
620,000
Sessions
750,000
Pageviews
1:50
Time on Page
56%
Bounce Rate
1.50
Pages/Session
GOOD: Monthly overview
+10% over Previous Period
-5% over Previous Period +3% over Previous Period -10% over Previous Period
+12.5% over Previous Period -2.5% over Previous Period

47. 50,000
Users
620,000
Sessions
750,000
Pageviews
1:50
Time on Page
56%
Bounce Rate
1.50
Pages/Session
BETTER: Despite users increasing this month,
engagement declined.
+10% over Previous Period
-5% over Previous Period +3% over Previous Period -10% over Previous Period
+12.5% over Previous Period -2.5% over Previous Period

48. BEST: Although our Linkedin Campaign acquired
additional users, they were not highly engaged.Users
Pages/Session
Week
1 2 3 4 5
Start of LinkedIn
Advocacy Campaign

49. Highlight the relevant audience with segments
• Legal websites get a lot of junk traffic.
• Showing pageviews can feel good, and it has its place; but, when showing
performance, think hard about audience.
• Segmentation possibilities:
• Geography
• Other Pages Visited (Services Page, Bio)
• Referral Source (Trade magazine)
• Ideal: Known Contact

50. Audience segments in GA

51. Just one piece of the puzzle
• The most difficult part of analytics today
• You can build great questions, tag the correct metrics, but can’t
show the relationship it can leave an underwhelming feeling
• “Okay, but that’s just the website, what about our event and email
campaigns?”

52. Use buying cycle / sales funnel
1. Using the funnel as a reference, align all the content or
marketing activities you perform for a user in each section of
the journey
2. Assign metrics to understand how each activity is performing
3. Highlight parts of the funnel that are underperforming or need
more coverage
By aligning digital touchpoints to broader cycle, it can be easier to
create context around a single asset’s purpose (and hopefully
impact).

53. Start laying the foundation to get your data out
of their native products
Big News:
• Google Analytics, when using its Web+App service, is
available to export into BigQuery.
• BigQuery allows access to Google Analytics raw data – a big
deal for making it easier to report on in BI tools such as Power
BI and Tableau.
• Access to this used to cost $150k/year, now just storage $
• Amount varies based on size of storage, but typically <$50/month

54. Explore creating a data warehouse to lay
foundation for single-view reporting
• Store data from Web, Email, CRM, Marketing Automation, Social in one place
• Use connective, anonymized IDs to understand impact of email or landing pages on contacts on
Website
• While it can be difficult to find these skills, this is more accessible than ever with products demanding
less custom development and getting cheaper

55. But there are many workarounds
• Export reports from Email, Social or other systems
• Copy them into Data Studio
• Blend sources such as Date to make single report that shows both external
data and website data

56. Summary: How to build context
1. Always create baselines/benchmarks to assist audience in
understanding progress.
2. Create funnel reports to show how digital marketing is assisting
the broader sales process.
3. Begin the process of consolidating analytics into a single place
for greater reporting.
Tip: Consider creating composite scores that weight multiple user actions into a
rolled up score. It can be easier to connect with limited-time audiences.

57. From thud to bang
Process is more important than tools.
Framing analytics effectively early in the process will greatly
help clarity when creating an analysis.
Keep your audience in mind.
Different audiences require different levels of information.
Show how the puzzle fits together.
Of course an email blast is not the same as an in-person
meeting, but show how it can contribute.

58. Q&A

59. Thank you!