Deborah Carver, Content Marketing Manager, and Katie Pennell, Senior Content Marketing Specialist, both with Nina Hale, Inc., drop some SEO protips.
Chapter 1: SEO’s Reputation & How Google Works
- 12 billion worldwide unique searches on Google every month
- 51% of traffic to websites comes from organic search
- Top 5 spots take majority of traffic
- Google driven by robots mimicking humans, not by humans mimicking robot behavior
- Search data is behavioral data
- Frequent
- People use Google multiple times per day
- Unguided
- No one tells you what to enter in search bar
- Reliable
- Massive, repeatable sample size
- Frequent
Top 4 Organic Ranking Factors
- Click-Through Rate
- % of people who choose your search result after seeing it in results page
- Found in GWT (Google Webmaster Tools)
- Co-Occuring, Relevant Terms
- How people use the same words related to your topic without using the synonyms themselves
- Your target KW: birthday cake
- Related terms: chocolate; recipe
- Google’s authority metric (TF-IDF) is not publicly available
- How people use the same words related to your topic without using the synonyms themselves
- Social Sharing
- How many people think your content is good enough to share
- Found in Google Analytics referral traffic and social analytics tools
- High-Quality Backlinks
- Good backlinks are built on quality content and relationships
- News websites
- Influencers in your vertical
- Well-known brand links
- Found in Google Analytics referral traffic and other tools (e.g., Majestic)
- Good backlinks are built on quality content and relationships
Chapter 2: What to Measure & How to Find Metrics
- Know your goals. Love your goals.
- Data useless without knowing what goals they map to
Tools
- Google Analytics (GA)
- Google AdWords Keyword Planner (GAKP)
- Google Webmaster Tools (GWT)
Data Balancing Act
- Keyword-Level Metrics
- GWT
- GAKP
- Page-Level Metrics
- GA
- Other tools
Content Metrics in People Terms
- How are people finding my content?
- Avg. monthly search volume
- GAKP
- Website impressions
- GWT
- Social trackbacks
- GA
- Impressions by keyword
- GWT
- Referral source
- GA
- Avg. monthly search volume
- What content do people find most often?
- Unique visits
- GA
- Pageviews on top organic pages
- GA
- Unique visits
- Is my content valuable and engaging?
- CTR
- GWT
- Bounce rate
- GA
- Session duration
- GA
- Social shares
- Individual social tools
- CTR
- Are people interested enough to convert?
- Email sign-ups
- GA
- Lead forms
- GA
- Revenue per page
- GA
- Email sign-ups
Content Groups
- Tool within GA
- Any consistent naming taxonomy that lets you look at multiple aspects of content and their measurements simultaneously
- Each group has page, keyword, and core conversion KPI
Channels
- Paid
- Paid Search
- Paid Social
- Owned
- Website
- Rented
- Social Profiles
- Earned
- Social Shares
- Referrals
How to Benchmark
Focus here: owned channel (your website)
- Look at data from past year
- Take seasons and fluke days into account
- Discern a reasonable average
Chapter 3: Search Metrics in the Real World
Data stories validate your content decisions.
The Case of the Lone Metric
- Problem: One single metric is out of whack
- E.g., bounce rate is high
- Other organic metrics are in line with or better than benchmarked expectations
- Solution: This page has an introductory purpose in the content ecosystem
- Examine several before disregarding content with a high bounce rate, lower than average pageviews, etc.
- Moral of the story: don’t look at this one metric without context
The Case of Unexpected Interference
- Problem: organic revenue is down compared to the benchmark
- Revenue from other channels are on par with the benchmark or better.
- Solution: Paid campaigns are influencing organic revenue
- Look into recent changes in paid campaigns
- Ensure you’re employing an efficient media mix
The Case of Apples and Oranges
- Problem: Two separate content groups are behaving complete differently
- Product page group has high conversion rate
- Idea page group doesn’t have high conversion rate
- Solution: Content types are producing different engagement
- Tweak ideas page to promote more conversions
- Link product pages back to your idea pages clearly
- Moral: each content type produces unique combinations of engagement metrics
The Case of the Star Player
- Problem: Social engagement is way up. Social referral traffic and social conversions are down.
- Solution: Aren’t enough backlinks in social posts.
- Link to your website in social posts using keywords
- Moral: Even when rented channels are doing well, your owned channels still matter.
- Talk to all your teams. Collaborate.
The Case of the New Kid on the Block
- Problem: Social referral traffic is way up. All other organic metrics are stable.
- Solution: Something happened in the social realm
- Determine the source of the spike
- Either create a profile or optimize your current profile
- Moral: Your content doesn’t exist in a vacuum.
Chapter 4: How to Tell Your Own Data Story
Justify your content with numbers that matter.
- Establish your benchmarks.
- Start small and scale up
- Consider all the metrics that lead to conversions
- Set up analytics to help your data stories
- All metrics matter as long as you put them in context
- Consider how much time you spend on your content
- The content comes from somewhere and that somewhere is your department
- Graph it out with multiple metrics
- Weaving together multiple metrics gives fuller picture of what’s happening with your content
- Tell your data story
- Explain your story in terms of people, not numbers.