What do multi-language intent solutions mean for B2B and why they become crucial

As of this Fall 2023, we now experience the rise of multi-language intent solutions enabling B2B organizations across the globe to pinpoint in-market accounts worldwide. In fact, one of the leading “Smart GTM” and B2B Intent providers (according to several advisory companies), Demandbase has launched their extensive multi-language intent solution for B2B. In a groundbreaking move, Demandbase, known for its AI-driven B2B revenue strategies, introduces a revolutionary multi-language intent solution catering to 133 languages, including non-Latin alphabets. Leveraging advanced Natural Language Processing (NLP), this innovation enables precise intent detection across global markets.

Why is this advancement so important for the B2B world?

Compared to the previous intent solutions, Demandbase's new solution covers 133 languages, facilitating accurate intent signals from diverse global markets, representing therefore a significant leap in the realm of non-English intent offerings. With non-English intent, this means it could support the most widely used online languages in the world, including Arabic, Danish, French, German, Hebrew, Hindi, Italian, Japanese, Korean, Norwegian, Portuguese, Spanish, Swedish, and more.

Supporting widely-used languages and non-Latin scripts, the solution employs NLP for contextual understanding, enhancing accuracy while reducing false positives. With the addition of non-English intent, Demandbase now processes hundreds of billions of new signals monthly, empowering global data-driven sales and marketing strategies.

Last but not least, the integration of non-English intent into Demandbase Piper B2B DSP ensures enhanced intent-based advertising impressions globally, facilitating more targeted campaigns for digital marketers.

Overall this new technological breakthrough has its significance in expanding global intel and targeting capabilities and driving more efficient sales and marketing strategies and executions delivering more efficient campaigns.

Considering that 46.1% of content on the internet is written in non-English languages, this significantly expands the company’s intent offering. And as the first provider to offer non-English intent across such an expansive list of languages, Demandbase is helping customers identify genuine buying signals from wherever their target market is in the world.

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Considering that 46.1% of content on the internet is written in non-English languages, this significantly expands the company’s intent offering. And as the first provider to offer non-English intent across such an expansive list of languages, Demandbase is helping customers identify genuine buying signals from wherever their target market is in the world. 〰️

Buyer intent in the B2B (Business-to-Business) space is crucial

Timely Engagement: Understanding buyer intent allows businesses to engage with potential customers at the right time. Recognizing when a company is actively researching solutions or displaying purchase indicators helps in timely outreach, increasing the chances of conversion.

Relevance and Personalization: Intent data provides insights into the specific needs and pain points of potential buyers. With this information, businesses can personalize their marketing and sales efforts, offering tailored solutions that align with the prospect's requirements, thereby increasing the likelihood of closing a deal.

Efficient Resource Allocation: By focusing on leads showing intent, businesses can allocate their resources more efficiently. Instead of spreading efforts across a broad audience, they can concentrate on prospects displaying genuine interest, optimizing time, budget, and manpower.

Increased Conversion Rates: Targeting prospects with higher intent leads to better conversion rates. Engaging with buyers who are actively seeking solutions or are at the decision-making stage often results in faster sales cycles and improved conversion metrics.

Competitive Advantage: Utilizing buyer intent effectively can give businesses a competitive edge. Understanding customer needs before competitors do allows for more strategic positioning, potentially securing deals ahead of the competition.

Data-Driven Strategies: Buyer intent data provides valuable insights into market trends, customer preferences, and behaviors. Leveraging this data helps in refining sales and marketing strategies, enabling businesses to stay agile and responsive to market changes.

Overall, buying intent signals are a powerful tool that enables B2B organizations to be more targeted, relevant, and efficient in their approach to engaging potential customers, ultimately leading to increased sales and revenue.

What is B2B buying intent and what’s the story behind that innovation?

Imagine stepping into the bustling marketplace of B2B interactions, where businesses are on a quest for solutions and opportunities. In this vibrant landscape, the concept of buyer intent is like a compass, guiding organizations through the intricate paths of commerce.

Picture this: a company, armed with advanced tools, begins to unravel the intricate web of buyer behavior. They're not just looking for names on a list; they're deciphering the subtle signals that indicate a company is on the brink of a decision. It's like reading the whispers of a marketplace, understanding when a potential client is perusing options, comparing offerings, or urgently seeking resolutions to specific challenges.

Now, consider the power of knowing not just who is interested but why. Buyer intent reveals the stories behind the interest— the unique narratives of challenges faced and goals envisioned. Armed with these tales, businesses can craft narratives of their own, tailored to resonate with the very essence of what each prospect seeks. It's the art of telling a story that aligns seamlessly with the plot unfolding in the buyer's world.

Efficiency becomes the protagonist in this narrative. Instead of casting wide nets in the vast sea of potential clients, businesses focus their efforts like a spotlight on those showing unmistakable signs of interest. It's not just about who's in the market; it's about engaging with those whose stories echo the need for a solution. This targeted approach is akin to crafting personalized letters instead of generic messages—effort directed where it matters most.

Yet, buyer intent isn't confined to individual stories; it shapes the overarching plot of business strategy. The data collected isn't just numbers; it's a collection of narratives that depict market trends, customer behaviors, and the evolving preferences of the audience. Armed with these insights, businesses become storytellers who adapt their plots to the changing chapters of the market, gaining a competitive edge in the grand narrative of commerce and B2B engagements.

In essence, buyer intent isn't a mere algorithm; it's a storytelling device. It's about understanding the unique narratives of businesses seeking solutions, crafting stories that resonate with those narratives, and navigating the ever-evolving plot of the B2B marketplace. In this grand tale, buyer intent emerges as the guiding star, illuminating the path to meaningful connections, prosperous collaborations, and sustained growth.
Having said that, it’s clear that such tools should affect and complement the way your sales, marketing, and customer success work when it comes to knowing what drives your clients and prospects.

In this sense, it’s recommended to always integrate your 1st party data, owned and collected directly through client engagements, with 2nd or 3rd party data such as B2B Intent data.

What is the technology behind B2B buying intent and how does it work?

The technology behind B2B buying intent revolves around data aggregation, analysis, and interpretation. It amalgamates various tools and methodologies to decipher digital footprints, signals, and interactions across online platforms. Here's a breakdown of the key components:

Data Collection: Multiple sources contribute to collecting intent data. These sources include website visits, content engagement, social media interactions, search queries, and even offline interactions like event attendance or direct communications.

Tracking and Monitoring Tools: Technologies like cookies, pixels, and tags track user behavior across websites. This tracking captures actions such as page views, time spent on specific pages, downloads, and form submissions. Marketing automation tools and Customer Relationship Management (CRM) systems also play a role in collecting data.

Data Aggregation and Enrichment: Collected data is aggregated from various sources, creating a comprehensive profile of a potential buyer. This could involve merging CRM data with website interactions, social media engagement, and email interactions. Data enrichment might include firmographic details, industry information, and technographic insights to paint a more detailed picture.

Machine Learning and AI: Advanced algorithms, machine learning, and AI technologies process this data. Natural Language Processing (NLP) helps understand context and sentiment analysis, while predictive analytics identifies patterns and potential buying signals.

Scoring and Predictive Modeling: Based on analyzed data, systems assign scores or rankings to leads, indicating their likelihood of making a purchase. Predictive models utilize historical data to forecast future buying behaviors, allowing businesses to prioritize high-intent prospects.

Intent Data Platforms (IDPs): These platforms aggregate, organize, and analyze intent data from multiple sources. IDPs offer dashboards and insights to help businesses interpret and act on the data effectively.

Activation Tools: Once high-intent prospects are identified, activation tools facilitate engagement. These tools include marketing automation, personalized content delivery, targeted advertising, and sales enablement solutions. They ensure that the right message reaches the right prospect at the right time.

The process works by deciphering the digital breadcrumbs left by potential buyers across their online journey. By amalgamating and analyzing these breadcrumbs, businesses gain insights into the intent and preferences of potential customers. Understanding these signals allows for targeted and personalized engagement strategies, increasing the likelihood of converting leads into customers.

While intent data are becoming more and more crucial for B2B organizations they are still undervalued or misled for a silver bullet in the upcoming cookieless era. Last but not least, choosing the right provider and knowing how to store and manage the data can avoid pitfalls with the incumbent regulations around privacy.

Here are some useful insights from Forrester on The 10 Biggest Intent Data Mistakes For B2B Marketing And Sales.