PEMAVOR’s AI-powered PPC solution offers a seamless, scalable approach to ad copy generation, optimized landing page selection, and end-to-end automation, enhancing Google Ads campaigns for maximum relevance and impact.
In partnership with Douglas, Europe’s leading perfume retailer, we developed a streamlined AI-driven PPC automation solution by leveraging Pipedream’s automation pipelines.
Faced with managing ad variations across multiple brands and regions, Douglas needed an efficient, scalable approach to reduce manual tasks and optimize targeting. PEMAVOR’s AI solution empowered Douglas to drive high-relevance PPC management across diverse product categories, enabling data-driven ad placements that align with customer intent. The result? A new level of PPC efficiency and targeting accuracy, setting a benchmark in automated campaign management.
Which problem did we solve with AI?
We identified the essential challenges for achieving scalable PPC relevance and formulated four key questions to address:
- #1: How can we identify the relevant keywords from several gigabytes of search terms?
- #2: What is the best landing page for each keyword?
- #3: How do we get relevant ad copy?
- #4: How do we automate the entire process?
To bridge the gap between how Douglas organizes products and how customers search, we categorized search terms into structured groups: generic, category-specific, and problem-focused terms. This helped us match the search behavior more closely to Douglas’s product offerings.
Since Google favors high click-through rates (CTR), aligning keywords with landing pages helps prevent users from quickly returning to search results. To achieve that, we created perfectly matched ad texts for each search query to direct customers to the most relevant landing page. As a result, Douglas benefited from higher Quality Scores and conversion rates when ads were maximally relevant.
Let’s explain the whole process in detail.
Building an automated and scalable PPC solution with AI
Step 1: Extract and Enrich Keywords from Search Data
To ensure high-relevance PPC campaigns, we set up a comprehensive filtering and enrichment process for search terms data. This approach simplifies keyword data to match customer intent with Douglas’s extensive product offerings. By enhancing keywords with valuable context, such as brand and product associations, we can direct potential customers to the most relevant ads and landing pages, boosting engagement and click-through rates.
To initiate the process, we extract keyword search terms via Google Sheets from the Google Ads API. The data gathered includes:
- Search Terms
- Clicks
- Impressions
This foundational dataset is then filtered and enriched. The enrichment process leverages the Douglas Product Feed Data stored in an SQLite database, utilizing the FTS5 extension for efficient indexing. We match search terms against the following product attributes:
- Product Title
- Product Description
Once products are matched to search terms, we generate additional data columns to enrich the keywords:
- Top Brands and Products (based on sum and max of reviews)
- Found Brand and Product Counts (based on title and description match)
- Click and Impression Data (from Google Ads)
- Suggested Brands (from Google Autosuggest)
- Custom Search Engine (CSE) Data to confirm matching pages with relevant keywords.
- Avg Search Volume, the average search volume for the keyword (from Google Ads Keyword Planner).
The enriched data is stored in Google Sheets for the next phase.
Step 2: Automated Selection of High-Performing PPC Landing Pages
In our AI-powered PPC solution, we focus on the automated selection of high-performing landing pages to align each keyword with the most relevant content, improving Quality Scores and engagement rates.
- Equal Links Sheet: We filter terms where the landing and category page links from the Custom Search Engine (CSE) are identical, storing them for further analysis.
- Ad Group and Campaign Sheet: We generate names for ad groups and campaigns based on Custom Search Engine (CSE) link URLs, structuring data for seamless ad placement.
This structured data set ensures keywords are linked with the most relevant landing pages for maximum engagement.
By considering PPC landing page optimization in our selection process, we ensure that each ad leads to a high-quality destination aligned with user expectations.
Automated selection of PPC landing pages:
- Our AI system analyzes and selects high-relevance landing pages based on keyword match and user intent.
- Landing pages are chosen to maximize Quality Scores, ensuring alignment with ad content.
- Data-driven landing page selection enhances engagement, ensuring each PPC landing page matches the user’s expectations.
Step 3: AI-Driven Ad Copy Generation for PPC Campaigns
Our solution acts as an AI-powered ad copy generator, producing targeted ad copy for Google Ads that maximizes relevance and engagement in each PPC campaign.
To craft effective ad copy, we draw on our domain knowledge into the process as below:
- Top Product Title and Descriptions for each search terms
- Website Content from the target URL via Custom Search Engine
Using OpenAI’s Assistant, we apply Retrieval-Augmented Generation (RAG) to create responsive ad copy. The system functions as a versatile AI ad copy generator, generating optimized Google Ads descriptions and headlines for higher PPC performance. It leverages content from Custom Search Engine (CSE) URLs or when those lack meaningful information, selects top product titles and descriptions from our enriched data (step 1) to ensure the most relevant and impactful results:
- 15 Headlines and 4 Descriptions for each term
Benefits of PEMAVOR’s AI Ad Copy Generation Process:
- Creates highly relevant, engaging Google Ads copy.
- Automates ad copy generation to align with targeted keywords.
- Enhances Quality Scores and user engagement through tailored content.
For those interested in implementing an AI-powered solution, our AI Ad Copy Cost Calculator provides a quick estimate for scaling ad copy generation with OpenAI models.
Step 4: Automate the entire process with Pipedream
To streamline the workflow, we use Pipedream, a low-code automation platform, which enables seamless integration across APIs and custom workflows. This automation includes:
- Pipeline 1: Calls the Cloud Function to generate enriched keyword data. This triggers filtering and enrichment function.
- Pipeline 2: Generates the Keyword-Campaign-Adgroup-Ad Copy sheet. This pipeline automates the process of creating ad copies tailored to each search term using OpenAI.
With Pipedream’s extensive integrations—Google Sheets, Slack, ClickUp, and more—it’s the backbone of our automation, coordinating processes from data extraction to final ad copy export. Try Pipedream’s versatile integrations here to explore workflow automation for your own projects.
Results: A streamlined, scalable solution for Douglas
Considering the thousands of the products Douglas offers, this automated system helped them reduce manual work and speed up tailored ad copy creation. Creating relevant ad copy and optimizing landing pages also led to better engagement.
This partnership with Douglas highlights how PEMAVOR is setting new standards in PPC automation. With technologies like Pipedream, Google Cloud, OpenAI, Python-based custom codes, Google Ads API and much more, we’re providing efficient, scalable digital solutions for leading brands.
Contact us to learn how PEMAVOR’s sophisticated solutions and PPC automation can elevate your Google Ads performance.
FAQ
How does PEMAVOR select the optimal landing pages in a PPC campaign?
Our AI-powered system evaluates landing pages based on keyword relevance, Quality Score potential, and alignment with search intent, automating the selection to improve PPC performance.
Why is automated landing page selection important for PPC?
By automating the selection, we ensure that each ad directs users to a page tailored to their search, which boosts engagement and helps improve Quality Scores without manual intervention.
What is the advantage of using an AI ad copy generator for PPC?
An AI ad copy generator ensures that each ad copy is tailored to the target audience and keyword, enhancing relevance and click-through rates.
How does PEMAVOR’s AI ad copy generator optimize Google Ads?
Our AI system generates targeted ad copy that aligns with user intent and keyword relevance, improving engagement and helping to increase Quality Scores in Google Ads.
What is the advantage of using PEMAVOR’s AI ad copy generation over competitors like Copy.ai and Anyword?
PEMAVOR’s AI ad copy generator stands out with its advanced features tailored for large-scale, data-driven PPC campaigns. Unlike generic ad copy tools, our solution offers:
- Advanced Keyword Filtering and Enrichment: Our tool goes beyond basic ad copy generation by filtering and enriching keywords based on product data, brand associations, and search volume. This makes the ad copy highly relevant and tailored to your product catalog, a level of precision that competitors may not provide.
- Integration with Product and Brand Data: Our system dynamically pulls product titles, descriptions, and brand information from your product feed. This ensures that the generated ad copy aligns perfectly with current product details, creating a more customized experience than generic copy generation tools can offer.
- Customizable Persona-Based Content: While other tools might offer general persona-based content, our service allows users to customize ad copy for specific audience segments based on detailed product and brand attributes. This ensures higher engagement by aligning closely with each target audience’s preferences.
How does PEMAVOR’s solution handle large-scale PPC campaigns?
PEMAVOR’s AI ad copy generator is built for scalability, making it ideal for managing large PPC campaigns. We leverage automated pipelines to generate ad copy at scale without requiring manual input. This approach ensures that our solution remains cost-effective and efficient, even for complex campaigns with extensive product catalogs.
How does PEMAVOR’s AI ad copy generation process optimize ad performance over time?
Our tool continuously adapts ad copy based on performance metrics, such as click-through rates and Google Ads quality scores. This means that ad copy can be optimized over time, ensuring higher engagement and relevance. Competitor tools may lack this dynamic optimization, which makes PEMAVOR’s solution ideal for advertisers aiming to improve ad relevance and performance progressively.
Does PEMAVOR offer transparency in ad copy generation costs?
Yes, we provide a unique Ad Copy Cost Calculator that offers a clear estimate for ad copy generation costs at scale.
