How E-Commerce Companies save Millions with Automated Content
What are the advantages of automated texts? And how much money can be saved using automated copywriting? Find the answers in this post.
Automated content creation is on everyone’s lips. Experience shows: By now, the vast majority of large online stores use a product description generator in some form. In particular, e-commerce providers that carry more than 20,000-30,000 items in their online store have already recognized the technology for themselves and use it in content creation.
Nevertheless, most customers do not allow themselves to be looked at in the cards:
- What did the generated texts actually achieve?
- How many conversions did they achieve with the texts?
- How much revenue does the content generate?
Users confirm that they have achieved success with the automatically generated content. But they keep the concrete figures with which this success can be measured to themselves. After all, it is comprehensible: Through the automatically generated texts, they gain real competitive advantages, be it better visibility through high-quality texts or better conversion rates through proven call-to-actions. The traffic data and actual sales are not communicated in the process.
Effects of Automated Content Creation: the Method of Measurement
One question remains: How much money do automatically generated texts bring to companies? To answer this question, the following already implemented projects were analyzed:
- For which online stores were automated texts created?
- When were the finished texts created and delivered to the customer ?
Here, it was taken into account how long it takes for a longer text to rank organically and lead to more traffic on the page. It should be noted that it is unclear exactly when the customer put the texts online. For this reason, an assumption was made about how quickly the customer can integrate the texts into their store – especially for large online retailers, this can take some time, as the large amounts of text are not entered manually.
In the second step, the SEO tool Ahrefs was used to determine the effect of automated texting. The first step was to check how the domain, i.e. the entire online store, was doing today. For this purpose, three key figures were checked: “organic keywords” (1), “organic traffic” (2) and “traffic value” (3).
“Organic traffic” is nothing more than the mathematical derivation of what position a single page of the store has on Google and how many people statistically come to the store.
“Traffic Value” means a contribution that the website operator would have to spend on Google Ads to achieve the same traffic effect.
These figures are calculated values (not live values), which tend to be too low. From the comparison of real websites with the figures from Ahrefs, it is clear that there are significant differences between the real figures and the calculated values.
In the third step, two points in time were determined:
- Time of delivery of the texts to the customer.
- 6-9 months afterwards. This time was chosen to include the time the client needs to publish the texts (about 3 months). Google also needs its time: 2-3 months are required for a good long text to actually bring a better ranking.
Even though this research is not empirical and does not represent a scientific study, the results are quite interesting.
It is also important to remember that the numbers analyzed in Ahrefs are significantly lower than the real values. Moreover, it can be assumed that this effect has a roughly similar impact on all websites.
This means: For all customers analyzed with the help of Ahrefs, it can be assumed that the real access figures are significantly higher. With regard to the “Traffic Value”, it should also be noted that this can only give an approximate estimate of what the monetary effect of automatic text generation might be. The effects on the website can of course also be attributed to other measures (other SEO measures, link building, regular content). Nevertheless, the automated texts are delivered in large quantities (>10,000), so they have a very high share in the changes on the website.
Example: Results of an E-Commerce Store from the "Pharma" Sector
In this anonymized example, we are dealing with a large online store that operates in the “pharmaceuticals” sector and has been on the market for a long time.
Analyzed between May 2018 and December 2018, a closer look at the numbers reveals that organic traffic has grown by 34 % (from 611,000 to 823,000 visitors per month). The traffic value has also increased significantly: from $187,000 to $261,000, which is a 40% increase (+ $74,0004). If you now multiply this increase per month by 12, the result is the proud sum of approx. 888,000 $ per year. Even though the Traffic Value is an estimated value, it shows approximately how much money the client saved per year compared to a Google ad.
These values vary for different clients. Among the clients analyzed were e-commerce vendors who saved up to $3 million this way. These and other examples can be downloaded from this website.
Conclusions and an Unexpected Surprise
Many of the stores have acquired 25 % to 95 % more visitors per month after half a year thanks to automatically generated texts and have received approx. 20-90 % increase in traffic value – also monthly. With absolute values of up to $ 250,000 per month, the positive effects are thus in the millions per year.
And yet: even with this great effect, there is a mistake that many companies make, but which can be avoided. Large content projects such as automated content creation are based on several steps. Before pressing the “publish the texts” button, companies first organize their data, organize the process, have the texts created, check them and give their feedback – they put quite a bit of work into the project.
The result: after the project, they first take a content break and this has noticeable negative consequences – visibility drops. If no mass changes are made to the text, then this has a strong effect – which was also analyzed using Ahrefs – and the values drop significantly again. To counteract this effect, it is crucial that the break in content creation does not last longer than 6 months.
Recommendation: After your first automated content project, you should start the next content project after 6-9 months at the latest. Otherwise your store will lose visibility. For example, you can add text to additional articles or create descriptions for additional product categories. In addition, existing content can be extended or updated or call-to-action formulations can be adapted.
About the Author
Matthias Böhmichen is CEO of the Stuttgart-based digital agency Awantego, which specializes in automated content creation. True to its motto of “harnessing technology for language,” the agency handles the creation of product descriptions, category texts and automated financial reporting. Awantego’s previous clients include fashion online stores, mail-order pharmacies, grocery stores and international corporations.
As a partner of AX Semantics, Awantego has been creating automated texts for clients – mainly large e-commerce companies – using AX Semantics’ software since 2014.