How pyimagesearch.com Get Unbelievable Success With Landing Page
As we known，Landing page is an essential part of marketing campaign because it has the unique ability to convert a stranger into a qualified lead. But how can we increase the ROI? How to find landing page copy and image for inspiration? How to know competitors’ advertising strategy?
Fortunately, LandingSpy can help you successfully solve the problems above. LandingSpy is the best landing page software. It tracks the pyimagesearch.com ads, and analyzes the landing page data of the ads. Its landing page link is pyimagesearch.com.
So, how pyimagesearch.com get unbelievable success with landing page?
1.pyimagesearch.com’s ad landing page basic information
Landing Page Images:
Title：Using TensorFlow and GradientTape to train a Keras model - PyImageSearch
Description：In this tutorial, you will learn how to use TensorFlow’s GradientTape function to create custom training loops to train Keras models. Today’s tutorial was inspired by a question I received by PyImageSearch reader Timothy: Hi Adrian, I just read your…
Advertising Platform：Facebook
Period：9
Start Time and End Time：2020-03-29~2020-04-07
Landing Type：Other
Language & Countries：N/A&N/A
Related Landing Pages：3
Final URL：pyimagesearch.com
The Number of Outgoings Link ：0
2. Free related landing pages analytics
In addition to the above ad landing pages, pyimagesearch.com recently launched related landing pages with a total number of 3. The main advertising platforms of these related ad landing pages are Facebook、Facebook etc. These ad landing pages include some AB-tested pages. After the final verification, pyimagesearch.com has placed a lot of ads by using the most effective ad landing pages.
LandingSpy performed basic data analysis on these related landing pages and selected the top 3 that performed best.
| 1st | 2nd | 3rd | |
| Title | Practical Python and OpenCV: Learn Computer Vision in a Single Weekend | Using TensorFlow and GradientTape to train a Keras model - PyImageSearch | Raspberry Pi for Computer Vision: Deep Learning and OpenCV on the Raspberry Pi |
| Description | My book can teach you Python, OpenCV, computer vision, and image processing in a single weekend. Guaranteed. This is the computer vision book you've been looking for... | In this tutorial, you will learn how to use TensorFlow’s GradientTape function to create custom training loops to train Keras models. Today’s tutorial was inspired by a question I received by PyImageSearch reader Timothy: Hi Adrian, I just read your… | You can teach your Raspberry Pi to 'see' using Computer Vision, Deep Learning, and OpenCV through practical, hands-on projects. |
| Advertising Platform | |||
| Period | 152 | 9 | 1 |
| Start Time and End Time | 2019-11-04~2020-04-04 | 2020-03-29~2020-04-07 | 2020-04-03~2020-04-03 |
| Language & Countries | N/A&N/A | N/A&N/A | N/A&N/A |
The above is the detailed information of the 3 landing pages that advertisers pyimagesearch.com have performed best in the recent past. After many A/B tests, these ad landing pages proved to be the most effective. So what do they have in common? By comprehensively analyzing the various data of these landing pages, we can summarize some rules to discover the secrets of high-converting ad landing pages.
1) Title analysis
- The number of words in the title is usually 5-10 words, and the words are as simple as possible.
- Core keywords and important content are put forward.
- Declarative Affirmative Sentences
- Titles with numbers are 36% more likely to be clicked by users than without numbers.
In fact, I prefer the title “Practical Python and OpenCV: Learn Computer Vision in a Single Weekend” better than “Using TensorFlow and GradientTape to train a Keras model - PyImageSearch”.
2) Description analysis
Copywriting tests the ability of the writer to perceive the user’s psychology. What we need to do is to stand in the user’s perspective, understand the needs of the users, and introduce your products from what they want to know.
Obviously, the descriptions of these related landing pages all conform to the above rules. For example:
- My book can teach you Python, OpenCV, computer vision, and image processing in a single weekend. Guaranteed. This is the computer vision book you've been looking for...
- In this tutorial, you will learn how to use TensorFlow’s GradientTape function to create custom training loops to train Keras models. Today’s tutorial was inspired by a question I received by PyImageSearch reader Timothy: Hi Adrian, I just read your…
- You can teach your Raspberry Pi to 'see' using Computer Vision, Deep Learning, and OpenCV through practical, hands-on projects.
If you want to know the description of other landing pages with the best performance in the past 90 days, you can use LandingSpy (landingspy.com) to filter and query.
3) Advertising platform
From the above table, we can see that the advertiser pyimagesearch.com’s recent platform for advertising is mainly Facebook.
4) Advertising schedule
Advertisers pyimagesearch.com have recently advertised at 2019-11-04~2020-04-04、2020-03-29~2020-04-07、2020-04-03~2020-04-03. The periods the ads continue to run are 152 days, 9 days, and 1 days.
Different industries and different platforms have different effective times when advertising. When scheduling ads, we should check the competitors’ advertising strategies in advance, not only to avoid overlapping with their high-frequency advertising time but also not to miss the best period for advertising in the industry.
In conclusion: The above is a free landing page analytics report about pyimagesearch.com. Doing a good job in advertising is a long-term accumulation process. In this process, we can use the bestlanding page software to find excellent landing page copy and landing page images for reference. At the same time, understand the competitors’ advertising strategies in advance, then adjust and test your advertising plans in a timely manner.
3. Related landing page report
If you want to check the relevant analysis of other landing page related to pyimagesearch.com, you can click the app name below to view related reports.