Adapting Strategies: The Evolution of Performance Marketing Agencies in an AI-Driven Landscape
The paradigm of search behavior is undergoing a seismic shift, transitioning from conventional queries to AI-driven exploration. In this context, performance marketing agencies are expeditiously recalibrating their methodologies.
AdLift, an agency specializing in performance marketing and SEO, which was acquired by Liqvd Asia last year, finds itself at the confluence of generative search, AI-enhanced ad optimization, and SaaS innovations, all of which are sculpting its subsequent growth trajectory.
In a dialogue with Storyboard18, CEO and Co-founder Prashant Puri articulated the company’s metamorphosis from an SEO-centric agency to an AI-enabled marketing platform, touching upon the emergence of Generative Engine Optimization (GEO) and the navigational complexities brands face in performance marketing across platforms such as Google, Meta, and Amazon.
Edited Excerpts:
What inspired the establishment of AdLift?
Before founding AdLift, I dedicated nearly a decade to leading digital marketing teams in the United States at prominent firms like Yahoo, AT&T, and eBay. The principal hurdle brands encountered was quantifying a robust return on investment from SEO and organic growth.
At that juncture, Google dominated the digital advertising landscape. Performance metrics were transparent on paid channels, easily calculable through cost-per-click, customer acquisition cost, and revenue attribution.
However, brands grappled with replicating those same data-driven assessments within SEO and organic growth frameworks.
This discrepancy prompted us to conceive AdLift as a performance marketing engine rooted in data, with an emphasis on fostering revenue growth across diverse digital marketing avenues.
Today, a substantial segment of our clientele remains performance and SEO-focused, with burgeoning interest in Answer Engine Optimization (AEO) and GEO.
What types of clients does AdLift currently serve?
Over the past 15 to 16 years, we have collaborated with a broad spectrum of clients spanning various sectors.
On a global scale, we have partnered with notable enterprises such as Walmart, Shopify, and Airbnb, alongside startups like SoFi, which has transitioned from nascent endeavors to a publicly traded enterprise.
In India, our roster includes several prominent brands in finance, insurance, and consumer domains, including HDFC Bank, ICICI Lombard, ICICI Prudential, Care Insurance, alongside consumer giants like Titan, LG, Panasonic, Luminous, and Max Life Insurance.
Moreover, we have engaged with digital-first entities such as Zomato, OYO, and Yatra, resulting in a diverse amalgamation of finance, direct-to-consumer, travel, and consumer brands.
What motivated the acquisition of AdLift last year?
Having operated for over 15 years, AdLift consistently reported positive cash flow, with growth figures oscillating between 40 and 60 percent annually.
Yet, as an entrepreneur, I found myself pondering whether we could accelerate our growth even further, possibly achieving triple-digit expansion.
This contemplation led us to explore partnerships.
The acquisition by Liqvd Asia enabled us to synergize our strengths; Liqvd excels in creative and social media capabilities, including an AI studio, while AdLift offers profound expertise in performance marketing, SEO, AEO, and paid media.
From a branding perspective, a considerable challenge entities confront today is the necessity to coordinate with multiple agencies for creative, performance, and analytics needs.
By amalgamating these competencies, we aspire to evolve into a holistic digital marketing partner for brands.
What significant trends are emerging within performance marketing and organic search?
AI is instigating transformative changes within the performance marketing sphere.
The scope and speed with which AI can mine and analyze data are markedly enhancing campaign optimization efficiency.
For instance, contemporary AI tools empower marketers to generate hundreds, if not thousands, of ad variations, tailored across languages, demographics, and audiences.
Five years prior, the creative process required extensive brainstorming to craft ads for various cities and vernaculars. Now, AI can produce these adaptations within mere hours.
On the organic front, we are witnessing a transition from traditional SEO to AEO and GEO.
This evolution correlates with a significant behavioral shift where consumers lean towards discovery rather than traditional search methodologies.
In 2019, Google commanded an impressive 94 percent of the global search query market. In contrast, Bing took nearly a decade to achieve about 2 percent.
Today, emerging platforms like ChatGPT, Perplexity, Claude, and Gemini collectively account for roughly 12 to 15 percent of discovery traffic, which is gradually diminishing Google’s monopolistic hold.
Consumers are increasingly leaning on large language models to unearth information, diverging from sole reliance on traditional search engines.
Are you developing AI solutions for brands to facilitate this shift?
Indeed, we have unveiled our proprietary SaaS platform, Tesseract, designed as an AI discovery medium.
Brands can input industry-relevant prompts—such as “top car insurance companies in India” or “best car insurance for a Maruti vehicle.”
The platform diligently tracks whether the brand or its competitors appear in the responses generated by extensive language models like ChatGPT, Gemini, or Perplexity.
This functionality essentially aids brands in monitoring their visibility across AI platforms.
Launched approximately a year ago, just following the acquisition, Tesseract has emerged as a pivotal revenue stream.
Currently, over 180 brands across India and the United States are employing the platform. We take pride in proclaiming it as a Make-in-India product utilized globally to track AI visibility.
Are retail media networks like Amazon increasingly capturing performance marketing budgets?
For direct-to-consumer brands, performance marketing expenditure is predominantly allocated among Google, Meta, and Amazon.
The distribution is often contingent on category and average order value.
Meta typically excels for products with higher average order values, whereas Google is more effective for lower average order values.
Brands positioned in the middle frequently allocate a substantial portion of their budget to Amazon advertising.
Furthermore, Google continues to attract a lion’s share of brand advertising expenditure, primarily due to YouTube, which offers extensive long-form video inventory unattainable through platforms like Meta or Amazon.
With tightening privacy regulations, how crucial will first-party data become?
Strategies centered around first-party data are not merely advantageous; they are becoming essential as privacy regulations evolve.
Amidst cookie deprecation, Apple’s privacy modifications, and rising advertising expenses, brands are increasingly sourcing their data.
For numerous direct-to-consumer brands, 25 to 40 percent of revenue is now derived from owned channels, including email, SMS, and loyalty endeavors.
We are also observing a heightened emphasis on zero-party data, where customers voluntarily furnish information via tools such as quizzes, surveys, or preference forms.
This method enables brands to deliver hyper-personalized marketing experiences while adhering to privacy standards.
Are you collaborating with AI companies like OpenAI or Anthropic? Through our Tesseract platform, we have formed alliances with ChatGPT, Gemini, and Perplexity, with ongoing integration efforts for Claude.
We foresee an ecosystem that does not conform to a winner-takes-all model.
Many users already interact with two or more AI platforms, and it is plausible that in the forthcoming years, individuals will regularly engage with three or four distinct large language models.
Thus, it stands imperative for brands to monitor visibility across the entire AI landscape.
What direction do you envision for performance marketing agencies in the next five years?
Agencies must evolve to become deeply data-centric and tool-oriented.
Efficiency will commandeer the foreground of priorities.
Across corporate spheres, including Google, Meta, and financial institutions like JPMorgan, executives are uniformly introspective, questioning: How can we maximize output while minimizing resources through AI?
While AI may not eliminate positions outright, it will supplant roles where personnel are not leveraging AI tools effectively.
For marketing professionals, the ability to seamlessly integrate AI into their daily operational frameworks will become paramount.
How has business growth been shaped in the past year?
Subsequent to the acquisition and the launch of Tesseract, we have witnessed a remarkable increase in new client acquisition.
In the last year, we have onboarded approximately 60 to 70 new brands for services, alongside around 150 brands subscribing to the Tesseract platform.
Historically, we typically welcomed around 20 to 30 clients annually, rendering this growth nearly threefold our usual metrics.
A lion’s share of this expansion is propelled by escalating demand for AI-enhanced SEO, AEO, and GEO strategies.
What growth objectives have you established for the upcoming financial year?
As we look forward to FY27, we are targeting a 35 to 40 percent growth in EBITDA and a 70 to 80 percent surge in top-line revenue.
Are there aspirations for market expansion?
Our operations in India and the United States are currently robust, keeping our teams quite engaged.
Discussions regarding potential expansion into Dubai and Singapore are underway, but our immediate focus remains on fortifying our presence within existing markets.
Furthermore, we are participating in several international conferences this year, including two prominent AI-oriented events in Miami and Las Vegas, where we will present insights on AEO and AI-driven search optimization.
Source link: Storyboard18.com.
