Tag: first party data

Weekend Digital Media Round- Why CMOs Are Rethinking AI Pilots in Digital Commerce, Why the New Artificial Intelligence Is So Powerful, Claude’s Cowork chaos: $285B vanishes as markets question Software’s future &More….

1.Why CMOs Are Rethinking AI Pilots in Digital Commerce

Many AI initiatives in digital commerce fail to scale because they lack clear business context, customer relevance, and change management. A customer‑journey–driven approach, combined with disciplined idea qualification and pilots designed to either scale or stop, helps organizations turn AI from experimentation into sustained growth. [Source: CMS Wire]

2. Why the New Artificial Intelligence Is So Powerful

Modern AI systems have become powerful due to the interaction of multiple mechanisms—neural networks, massive data training, learning methods, attention, and specialized hardware. Together, these create complex causal networs that produce emergent abilities like language understanding, reasoning, problem-solving, and creativity, even though AI still lacks human consciousness or emotions. [Source: Psychology Today]

3. Claude’s Cowork chaos: $285B vanishes as markets question Software’s future

Markets were rattled after Anthropic’s Claude Cowork plugins showed AI could autonomously execute legal, sales, and financial workflows, wiping out $285 billion in software market value in a single session. Investors fear AI is absorbing entire workflows rather than just assisting, forcing SaaS and IT services firms to rethink business models built on billable hours and human effort. [Source: Wion]

4. Google’s Search Generative Experience will transform content

Google’s introduction of AI-driven generative search is poised to reshape SEO by changing how results are created and consumed, pushing marketers to move beyond traditional keyword strategies and instead focus on more natural, conversational, and snackable content that aligns with how users ask questions and engage with information in an AI-influenced search environment. [Source: The Drum]

5. YouTube CEO Reveals Your Video Marketing Strategy For 2026

YouTube’s CEO outlines a shift toward treating the platform as a full entertainment, commerce, and discovery ecosystem, where creators operate like studios and brands must co‑produce content rather than rely on one‑off sponsorships. Shorts are positioned as the primary discovery gateway feeding long‑form, TV‑quality content, with AI and integrated shopping making video marketing more measurable and revenue‑driven by 2026. [Source: Search Engine Journal]

6. FAQ on martech: How AI agents and composable stacks are reshaping marketing technology in 2026

AI-driven agents and composable martech stacks are redefining how marketing works, with intelligence embedded across content creation, data, and customer engagement. As buyer‑side AI assistants increasingly replace traditional search and browsing, marketers face pressure to simplify fragmented systems and adapt strategies to stay visible by optimizing content for AI discovery rather than just human clicks. [Source: EMarketer]

7. How first-party data drives better outcomes in AI-powered advertising

First‑party data has become critical for AI‑driven advertising, as it helps platforms optimize for profitable outcomes rather than just clicks or conversions. By feeding accurate customer and revenue data into automated campaigns like Performance Max, advertisers can improve conversion quality and return on ad spend—even if costs per click rise. [Source: Search Engine Land]

8. Digital Fatigue Is Real — ‘Retailtainment’ Is How Brands Win Customers Back

Retailers are shifting from pure online transactions to experience-driven “retailtainment” as customers grow tired of digital shopping. By using gamification, social shopping, in‑store learning, social commerce, and community events, brands can re‑engage customers, build loyalty, and boost sales by turning shopping into a more social and memorable experience. [Source: Entrepreneur]

9. EXCLUSIVE: OpenAI Confirms $200,000 Minimum Commitment for ChatGPT Ads

OpenAI is piloting ads on ChatGPT through a small, tightly controlled beta, asking select advertisers to commit at least $200,000 upfront. The company says the test is meant to understand which ad formats add value for users before expanding advertising options more broadly. [Source: AdWeek]

10. Future of Marketing Briefing: The word ‘agency’ is costing the ad giants

Ad industry holding companies are being held back less by economics or technology and more by perception, with the label “agency” no longer reflecting the breadth of what they do. As clients expect broader, consultative and business-led solutions, clinging to outdated terminology is weakening how these giants position their value for the future. [Source: DigiDay]

February 6, 2026
How to leverage First-party data for Better Personalization

In 2017, The Economist described data as the world’s most valuable resource, even more valuable than oil. While this might have seemed exaggerated at the time, it has become a reality today, with data centers holding some of the planet’s most valuable information. Data not only fuels digital systems worldwide but also plays a crucial role in determining a business’s success. For businesses today, data is indispensable, providing insights into everything from the viability of a business plan to customer preferences. With most businesses having a digital presence, they rely on data from various sources to analyze and optimize marketing efforts, ultimately enhancing customer service through data-driven personalization.

There are different sources from which a business gathers data for its activities. These can be broadly divided into three separate categories: first-party data, second-party, and third-party data. Let us understand how each of these categories differs:

First-party data: Data that businesses obtain directly from their customers.

Second-party data: Data that two businesses collect and share with each other.

Third-party data: Data collected by a single entity and sold to different businesses (e.g., Google).

Out of these three sources, the most reliable is first-party data. There will always be a sense of doubt when businesses use second- and third-party data, as it may not always provide accurate information. However, first-party data is something businesses can fully trust since they are directly involved in obtaining it from their customers or potential customers.

Why is gathering first-party data so important?

There are many reasons behind the importance of gathering first-party data, with one being the push toward a cookie-less world, which is changing the scope of digital advertising. When the world’s biggest search engine, Google, announced its plans to move away from cookies, which are primarily used to capture third-party data, it signaled that brands would have to build their own reliable databases. Privacy and security concerns are driving the shift away from third-party data, a welcome change considering the numerous data breaches that have affected millions worldwide.

One drawback of not using third-party data is that conducting competitive analysis will be more challenging, as brands will no longer have access to data from the same sources as their competitors. However, there are several benefits to relying on first-party data, especially when it comes to data-driven personalization, which allows brands to tailor content more effectively for each customer. This makes it even more important for brands to start building their own first-party databases.

How can brands gather first-party data?

Brands can gather first-party data through several key touchpoints in their interactions with customers. Website or app analytics provide insights into user behavior, tracking data points such as demographics, location, page views, clicks, purchases, and time spent on the site. Email marketing lists offer valuable subscriber information from campaigns, newsletters, and other email interactions. Customer relationship management (CRM) systems store essential data like customer profiles, purchase history, and customer service records. Social media accounts also serve as a source for gathering data from user interactions and engagements. Additionally, surveys offer direct feedback, capturing demographic details and contact information. Customer feedback, whether collected through online chat, product reviews, or other channels, further enriches a brand’s first-party data pool.

How can brands use first-party data for personalization?

Once data starts flowing in through these various sources, it becomes a valuable asset since brands have a direct connection with their customers or potential customers. Additionally, no one else has access to this data, giving businesses an advantage in a highly competitive market. With such an edge, let’s explore how brands can leverage first-party data for data-driven personalization in their marketing communications:

Segmentation and Targeting

Organizing data after it is collected is crucial. This process helps brands identify key data points to segment their customers into different groups, such as by age, gender, location, or buying patterns. Proper segmentation allows brands to craft distinct buyer personas, incorporating behavior and attributes. With correctly segmented data, brands can concentrate their marketing efforts and tailor personalized messaging for each group. First-party data simplifies identifying customer preferences, ensuring marketing spends are optimized for maximum impact.

Customer Retention

Brands can use first-party data to boost customer retention by delivering personalized experiences based on individual preferences. By analyzing purchase history and behavior, companies can offer targeted recommendations and incentives that keep customers engaged. For example, a fashion retailer might send personalized notifications about similar or complementary items based on a customer’s previous purchases, encouraging repeat business and fostering loyalty.

Cross-Selling and Upselling

First-party data is invaluable for identifying opportunities to cross-sell and upsell. By analyzing customer preferences and behaviors, brands can recommend related products or premium versions of items they’ve already purchased. For instance, an electronics retailer could suggest accessories for a recently purchased smartphone or promote a higher-end model based on the customer’s browsing history.

Optimizing Ad and Email Marketing

Personalization in ad and email marketing becomes more effective when driven by first-party data. By understanding customer preferences, brands can craft targeted ads and emails that resonate with specific audience segments. For example, a travel company could send personalized vacation offers based on a customer’s previous destinations or interests, improving engagement and conversion rates.

Increase User Acquisition

Brands can also use first-party data to refine their user acquisition strategies by identifying characteristics and behaviors of their most loyal customers. This data helps brands design targeted campaigns that appeal to potential customers with similar traits. For example, a fitness brand could analyze its top customers and use that data to target similar audiences through personalized social media ads.

A/B Testing

First-party data is essential for effective A/B testing. Brands can use this data to experiment with different approaches in website design, product recommendations, or marketing messaging, determining which versions resonate most with their audience. For instance, an e-commerce site might test two versions of a product page and use customer interaction data to identify which version leads to more conversions, enabling continuous optimization.

As we look to the future, first-party data is essential for businesses looking to stay competitive and build lasting customer relationships. By harnessing this reliable and personalized data, brands can optimize their marketing strategies, improve customer engagement, and drive growth in a world where privacy and precision are paramount. As the shift away from third-party data continues, those who invest in building robust first-party databases will be better equipped to deliver personalized experiences that resonate with their audiences.

November 5, 2024
Advanced Techniques in Programmatic Advertising for 2024

As technology advances and consumer behaviours shift, the landscape of programmatic advertising continues to evolve. Marketers are increasingly directing substantial portions of their media budgets—up to 50%—toward programmatic methods. This shift reflects a broader trend that’s set to propel programmatic advertising to over $300 billion by 2026, according to Statista. As we delve into the latest techniques, it’s clear that innovations in automation, data analytics, and targeting are reshaping how businesses approach their advertising strategies, making it essential for marketers to stay ahead of these developments.

AI-Driven Optimization: Maximizing Efficiency and Performance

Artificial intelligence (AI) is revolutionizing programmatic advertising by enabling real-time optimization of bids and targeting. With AI-powered predictive analytics, marketers can dynamically adjust campaigns based on user behavior, historical performance, and even external factors like market trends. This not only improves the efficiency of ad spend but also ensures that ads are served to the most relevant audiences at the right time.

For example, a B2B tech company can use AI to target decision-makers in specific industries by analyzing their online behavior and engagement patterns. If the AI detects that a potential customer is researching similar products or services, it can automatically increase bids to ensure the ad is displayed prominently. This level of precision helps businesses maximize their ROI and drive higher conversion rates.

Contextual Targeting: Adapting to the Cookieless Future

As third-party cookies continue to phase out, contextual targeting is becoming a crucial strategy for reaching the right audience. Unlike traditional keyword targeting, contextual targeting aligns ads with the content on a webpage, ensuring relevance without relying on user data. This approach not only respects privacy but also enhances user experience by serving ads that complement the content they are already consuming.

For instance, a B2B marketing agency might place ads for its services on articles about digital transformation, ensuring that the ad appears in a context that resonates with potential clients. This strategy can increase engagement and brand awareness while maintaining compliance with privacy regulations.

Cross-Device Attribution: Understanding the Full Customer Journey

In today’s multi-device world, understanding the customer journey requires a holistic approach. Cross-device attribution allows marketers to track user interactions across different devices, providing a comprehensive view of how customers move through the sales funnel. This insight is critical for optimizing ad spend and tailoring messaging to different touchpoints.

Consider a B2B software company targeting executives who browse content on their smartphones but finalize purchases on desktop computers. Cross-device attribution enables the company to attribute conversions accurately, ensuring that marketing efforts are optimized across all devices. This not only improves targeting but also helps in allocating budgets more effectively.

First-Party Data: Building Trust and Personalization

With the decline of third-party data, first-party data has become a goldmine for marketers. By collecting data directly from customers, businesses can create more accurate audience segments and deliver personalized ad experiences. This data is often more reliable and privacy-compliant, as it is gathered with user consent.

For example, a B2B financial services provider can use first-party data from its email subscribers to create targeted campaigns. By analyzing past interactions and preferences, the provider can deliver personalized content that resonates with each segment, ultimately driving higher engagement and conversions.

Programmatic CTV and Audio: Expanding Reach on Diverse Platforms

As consumers continue to embrace connected TV (CTV) and audio streaming, programmatic advertising is expanding into these channels. Programmatic CTV and audio offer new opportunities to reach audiences on platforms like Hulu, Spotify, and podcasts, allowing businesses to diversify their media mix and engage users in new ways.

For instance, a B2B cybersecurity firm can run targeted ads on CTV platforms that reach IT decision-makers during their favorite shows or podcasts. This approach not only broadens the firm’s reach but also taps into the growing trend of consumers spending more time on non-traditional media channels.

Privacy-Focused Targeting: Navigating Data Regulations

With data privacy regulations like GDPR and CCPA reshaping the digital landscape, marketers must prioritize privacy-first practices in their programmatic strategies. Privacy-focused targeting methods, such as unified ID 2.0 and contextual targeting, help businesses comply with regulations while still delivering effective ads.

Unified ID 2.0, for example, allows marketers to target users across the web without relying on third-party cookies, providing a privacy-conscious solution that aligns with modern data standards. By adopting such technologies, businesses can maintain consumer trust and avoid potential regulatory pitfalls.

Advanced Audience Segmentation: Delivering Hyper-Targeted Campaigns

Audience segmentation has always been a cornerstone of effective advertising, but in 2024, it’s about to get even more sophisticated. By leveraging data on demographics, interests, behavior, and purchase intent, marketers can create highly detailed audience segments that allow for hyper-targeted campaigns.

For example, a B2B SaaS company can segment its audience based on industry, company size, and role within the organization. By tailoring messaging to each segment, the company can deliver more relevant ads that speak directly to the needs and pain points of its target customers. This level of personalization can significantly boost engagement and conversion rates.

Conclusion

Looking ahead, programmatic advertising is poised to advance even further, driven by innovations that promise to redefine digital marketing. With the integration of AI-powered optimization, enhanced contextual targeting, and sophisticated cross-device attribution, B2B marketers will have the tools to navigate the complexities of the digital landscape with greater precision. Embracing first-party data, programmatic CTV and audio, and privacy-centric approaches will not only bolster campaign effectiveness but also position businesses to capitalize on emerging opportunities.

November 5, 2024
How Can First-Party Data Be Used for Improving PPC Performance?
The boundless world of online marketing brings with it a host of marketing options. While SEO continues to be one of the most cost-efficient marketing strategies, spending money on PPC campaigns is turning into a critical component of every digital marketing strategy.

And marketers do have some pretty solid reasons to spend their budget on PPC. For instance-
- As per a study, around 33% of people click on paid ads when they search for something on Google as the ads provide the most accurate answer to their query
- Another research suggests that around 40% of the user clicks go to the top 3 paid ads on the search results page
But while PPC is currently enjoying widespread popularity in the world of online marketing, brands need to have an innovative marketing approach to make the best use of the available opportunities.

For instance, with Google now focusing on adding more automation to the PPC landscape, this is an excellent time for brands to use the first-party data to improve their PPC performance innovatively.

What is First-Party Audience Data?

While there are now many different ways for brands to collect all the different types of audience data, the data that a brand collects from its audience is the most valuable. This is exactly what first-party data is. It is the data that a brand collects from its audience through analytics, resource downloads, subscriptions, app, newsletters, events, and more.

Unfortunately, seldom these data sources have any link to one another. For instance, a brand might be using CRM for collecting customer data and Google Analytics for tracking user behaviour on their website. The data from these sources is never effectively connected to help brands abstract the big picture.

Strategies to Effectively Use First-Party Data

In the world of digital marketing, every challenge is an opportunity to innovate. Fortunately, there are some time-proven strategies with regards to using first-party data for powering PPC campaigns.

1. Integration Between Google Analytics and Data Sources

While Google Analytics is by far one of the most advanced analytics tools, it lacks a few features. For instance, important data points like lead to sale conversion rate, sale value of leads, and lead scoring data is missing. This is where the integration between your data sources and Google Analytics can work its magic.

There are many different ways to connect your data sources to Google Analytics. One of the easiest of them is to use a data connector tool. The tool can be used to connect a data source like the CRM system to your Google Analytics account. The overall goal here is to ensure that there is a way for the lead data on your Google Analytics panel to be traced back to its origination on your website.

2. First-Party Data for Improved PPC Bidding

Several brands are already using first-party data with Google Ads scripts to improve their bidding strategies. But combining conversion-focused bidding strategies along with Smart Bidding, a part of the Google automated bidding software, is proven to deliver improved results. Smart Bidding uses machine learning and uses data points like location, device, time, etc. to adjust bids.

First-party data can be used to analyse campaign results, and the data points like business impact and campaign performance could be used to optimize bidding strategies. For instance, the data can be used for adjusting ROAS (Return-On-Ad-Spend) or CPA (Cost-Per-Acquisition) targets rather than adjusting ROAS/CPA targets based on the default Google Ads conversion report.

3. Optimized Audience Expansion

Google Customer Match allows you to target customers or prospects with the help of first-party audience data. For instance, you can import your email lists into Google Ads. Platforms like Facebook, LinkedIn, and Twitter now also offer this functionality. The goal here is to target people who are already aware of your brand as they are more likely to convert.

Apart from targeting people who already know about your brand, you also have the option of building targeting lists based on characteristics that are common between your existing audience and new audience. For instance, the Audience feature on Google allows you to search for targets based on the search behavior of your existing audience.

Utilizing First-Party Data for Boosting PPC Campaigns

With regards to PPC, automation and machine learning will only get more popular in the future as it enables Google to manage things at scale humans, and even traditional machines cannot.

This makes it an excellent time for brands to focus more on their first-party data so that valuable data could be fed to the automated systems, and their PPC campaigns are effectively optimized.
March 6, 2020

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