With existing marketing stack, It is extremely challenging to efficiently optimize pay-per-click (PPC) advertising strategies. The standard approach often involves creating numerous unique landing pages tailored to each ad campaign, which is both time-consuming and resource-intensive. This method not only demands substantial effort in design and development but also necessitates ongoing maintenance and updates for each separate page.
Moreover, this approach can lead to inconsistencies in messaging and user experience, as visitors are directed to various landing pages that may not always provide a seamless transition from the ad copy. This fragmentation can negatively impact the effectiveness of the PPC campaigns, leading to lower conversion rates and reduced return on investment.
It takes 5 minutes - just add the script to the head section of your website. You can also use Google Tag Manager for convenient code deployment.
Analyze user engagement and determine what content and on which pages you should apply changes to improve experience.
You can use the visual editor to make changes on your website without in minutes - without requiring developer support. Create different variations of your website to test your hypothesis.
Ensure that the experience you created will only be displayed for users that visit your page from Google Ads campaign - so you can determine your CPC performance. Add UTM parameters to filter out the noise.
Automate hold-out tests between your variations until a stat sig winner is found.
That's it! Double down your CPC campaigns on winning variants and continue optimizing your ads experience.
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Use front-end A/B and multi-page experimentation product built for any business size. Run multiple experiments on the same page.
Deliver targeted messaging, personalized offers and recommend the most relevant content for your users.
Empower your team to collaborate with an easy-to-use visual editor without using developer time to get things up and running.
Gain insight into the impact of your experiments with statistically valid results. No complex statistical analysis required.
Go beyond client-side testing and deploy experiments on the server-side. Test and optimize content changes and even complete re-brands.
Select the right goal for each personalization and experimentation campaign to ensure you’re optimizing towards the right objectives.