Content marketing has seen a lot of changes during the past few years. Many of these changes can be attributed to the rapidly evolving search landscape, as well as a huge shift in the way people are actually discovering content. New, more sophisticated search algorithms, changes in the way people use search engines, and new ways that marketers go about actually developing their content are just a few of the contributing factors and outcomes.
All that said, many marketers still experience the same pain points that were commonplace more than five years ago:
- "I struggle to measure the ROI of the content I create."
- We create great content, but we still don’t seem to rank high in Google for our target keywords."
- "So, I’ve done my keyword research. Now what?"
As a response to these problems — specifically the second one — a lot of marketers will create more and more content. Unfortunately, creating larger volumes of the same underperforming content will often result in the same underwhelming results — just at a greater expense.
In fact, adding more content to a poor existing site architecture can make it even harder for Google to find and rank your content. That’s not a situation any marketer wants to find themselves in.
The answer to these problems spans way beyond the number of blog posts being pushed out each week; the real problem lies in the way that most content strategies are being developed and organized.
SEO is evolving, and marketers need to change with it.
Fortunately, there are ways to overcome these obstacles and drive high-performing results for your marketing team.
Here we’ll discuss the changing state of search and how marketers can keep up. Continue reading this page or use the links below to jump to a specific section.
Search Engines are Changing
Before we jump into solutions for finding success in the changing world of content marketing, let’s spend some time looking a bit deeper into the driving forces behind that change.
First, we need to chat aboutsearch engines. Updates to the way search engines process and evaluate content have created drastic changes in recent years for SEO. As a result, the old metrics of success aren’t as reliable as they once were.
For example, one of the ways in which content producers evaluate the performance of content is by looking at keyword rankings within the search engines. However, there’s been a lot of debate around the actual credibility of keyword rankings as a metric, and the reason for this largely stems from the fact that rank changes depending on context.
To put it simply, depending on how and where you’re searching from, you’ll see different search results, which makes it difficult to evaluate success based on keyword rankings alone.
A simple search for the term “where to eat pizza” illustrates this perfectly. If you’re searching for this query from Boston, you’ll receive a completely different set of results compared to someone searching in San Francisco. In fact, the results page for this query probably has thousands of different variations at any one moment in time.
With this in mind, how do you accurately determine your ranking for this keyword?
Outside of keyword ranking problems, the search engines have also been dictating how content should be structured, most notably with the increased appearance of featured snippets.
Google has been rolling out more and more featured snippets within the search results — one study found that of 1.4 million queries, 30% showed a featured snippet. These boxes try to answer the question that the searcher has without them needing to navigate through to the content.
The reality is that content ranking within the featured snippet section often gets a much greater share of the traffic for the given query when compared to non-featured snippet SERPs.
Publishers now have to restructure their content to try and appear within these featured snippets, of which Wikipedia reigns supreme — owning an estimated 11.2% of all featured snippets.
On a more general level, Google in particular has been making big investments in machine learning and has introduced RankBrain into the core algorithm it uses to index and rank content. Ultimately, RankBrain enables Google to better understand the intent behind specific queries without the search query explicitly stating them — all with the goal of providing more relevant results to the searcher.
This brings us to the next big change in search: the searcher.
Searchers are Changing
More significant than the way in which search engines themselves are evolving is the way that searchers are communicating with search engines.
Amplified by the rise of mobile and voice search, queries have become more and more conversational. A few years ago many people entered fragmented terms into search engines. Now, it’s more common for people to ask complex questions using full sentences. Google’s updates over the past 2-3 years have focused on understanding these types of queries better through natural language processing, most notably with the rollout of Hummingbird in 2013.
The introduction of this new search algorithm, which began analyzing phrases instead of solely relying on keywords, marked a major switch for the search giant from keyword to topic-focused SEO. In 2016, Google CEO Sundar Pichai announced that one out of five queries on its mobile app and on Android devices were voice searches. Based on these new developments, the increasing importance of search topics shows no signs of slowing.
The takeaway here for marketers? The traditional view of “keywords” in search has changed. Where a few years ago there were maybe 10-20 “big keywords” that would be sought after for ranking within a topic, there are now hundreds or thousands of long-tail variations that are regularly searched within a topic and change based on location. Simply dominating a few words is no longer enough to produce successful results.
Content Strategy in 2018 and Beyond
Considering the advancements in the ways that both the search engines and searchers are evolving, there needs to be a shift in the way marketers determine their content strategy — especially when focused on driving organic search.
The way we approach this at HubSpot is to look at our visibility across a topic, as opposed to a specific keyword. By organizing content within topic clusters instead of individual disjointed posts, we’re able to capture a large amount of search traffic across an ever-increasing pool of relevant keywords. This also allows us to align our brand with several recognizable core topics. Embracing the topic cluster model has allowed us to completely transform how we create and organize our content.
A great example of this is around “inbound sales," an area that we’ve been covering a lot. You can see from Google’s autocomplete section that there are a number of big links to HubSpot — with our Inbound Sales Day, Certification, and Methodology being the top three, as well as a direct mention of the HubSpot brand.
We’ve managed to align our brand with topics that directly relate to our buyer personas, and as a result of this topic cluster model, we generate millions of relevant visits to our web properties.
What's a Topic Cluster?
How to Measure the Success of Your Topic Cluster
Conclusion: Search Engines Aren't Searching for Your Content, People Are
from Marketing https://blog.hubspot.com/marketing/content-marketing-strategy
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