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Activate the ‘Dark Funnel’ and unlock fresh leads in this new channel

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Activate the ‘Dark Funnel’ and unlock fresh leads in this new channel

What would it feel like if you could chat with your prospects here and now from this article – or better yet, a third-party article on your product or service? No sitting around waiting for intent signals. No banner ads with pesky redirects.

Well, it’s here – and not only is it the future of selling in saas, but sales teams are using it today to engage with prospects in the earliest stages of the dark funnel.

The dark funnel explained: Did you know 75% of buyers are already halfway through their buying journey before they even speak to a salesperson? At that point, they’ve already completed their pre-purchase process – checked reviews, browsed comparison sites, and perused articles on third-party sites – before even reaching your site. In other words, all of these activities have occurred anonymously in what marketers have coined the “Dark Funnel.” 

In fact, you can experience what it’s like to engage in the dark funnel simply by clicking the widget below.

Okay… but what is the dark funnel exactly? 

It’s the touchpoints a buyer experiences before they are tagged and identified in any marketing stack – whether through self-identification, or traditional methods like downloading a whitepaper, form fills or cookies. 

The problem lies in that the digitization of the sales environment has marketers falsely believing that they can accurately track a customer’s journey. The reality? Much of the customer journey happens offline and when activities occur online, they rarely follow a linear path. Instead, the modern consumer meanders along a path that bends and twists, leaving sales teams/marketers “in the dark” on intent. 

Activate the ‘Dark Funnel and unlock fresh leads in this

So, why isn’t intent data enough?

Intent data isn’t a lead, nor are most intent signals actionable for sales/marketing teams. Often, intent data comes in at the account level and not the contact level, making it challenging to action. In other words, intent data lets you know that someone at a particular company is possibly interested but isn’t detailed enough to identify who to reach out to. 

On the flip side, if a salesperson can discover who the contact is, they can reach out quickly. In a world where speed to lead is everything, intent decays almost instantly. The chance of the user biting on an email cadence, picking up calls, or clicking on retargeting ads diminishes every minute that a salesperson is not in contact. ​​  

Most marketers believe a form fill on a website indicates the highest moment of intent. This does not appear to be true with recent research. 

A study on 2000 B2B companies found that on average: it takes a sales rep 42 hours to contact a new lead, of which 38% will never respond. Additionally, 4.3 days go by before the first meeting ever takes place. In the simplest terms, timing is everything, and the longer you wait on opportunities, the fewer responses you will receive. 

In the modern-day age, convenience and quick response times are everything.  Studies show when businesses respond in under five minutes, they are 100x more likely to connect and convert opportunities. 

Imagine this process:

  • Zero seconds: A prospect asks to chat on an article, review site, or 3rd party blog post.
  • 3 seconds later: The prospect selects whether they’d like to talk now or schedule a call
  • 1 second later: The prospect chooses to talk now
  • 6 seconds later: The prospect is chatting with a BDR or SDR

This all occurs in 10 seconds, and the prospect hasn’t even reached a company’s website.

Buyer intent is highest at the beginning of the buying journey while solutions to the buyer’s problem are explored. If a prospect actively researches, discusses, and evaluates a company, they clearly express interest. At this point, many intent signals are collected by data aggregators to re-sell for marketing purposes. Naturally, consumers’ intent to buy decays as they move throughout their buying journey. When an intent signal is received and the prospect books a meeting/demo, leads are lost. It costs time, money, and resources to rumble over prospects with your competitors. 

1646224544 558 Activate the ‘Dark Funnel and unlock fresh leads in this

The dark funnel is where the most advantageous opportunities can be won – where you can curate your brand and dominate sectors, all while creating demand. 

Sitting around waiting for intent signals is a passive approach. Actively engaging with prospects in real-time when they need you is much more effective. You are there first. Meet their needs, and they won’t compare you to anybody. Once ready to buy, they will simply choose you. 

And don’t we all want to be chosen?

The Helium platform provides sales/marketing teams direct real-time access to chat with prospects on articles, review sites, and any third-party site whereby your company is mentioned. An entirely new channel, Helium lifts the veil on the dark funnel by creating new actionable touchpoints earlier in the buyer’s journey. 

Many mar-tech strategies have been created to uncover vital consumer information (intent data) within the dark funnel. However, these approaches still follow a linear sales/marketing funnel that doesn’t exist. This limits the ability to adapt to present-day buyer behavior. Buyers don’t want to complete forms, receive numerous email cadences or wait two weeks to speak to a sales rep. Simply put, they want to ask a quick question to qualify or disqualify a potential solution. 

Helium creates a direct line for organizations to engage in chat with prospects using new touchpoints in the dark funnel. During a prospect’s highest intent moments, sales reps are able to answer questions and book meetings immediately. 

The result?

  • Beating competitors to prospects
  • Accelerating your sales cycle
  • Increasing conversion
  • Expanding your audience
  • Being the primary source of education for your prospects

While Helium does not eliminate a traditional lead gen workflow, it creates an accelerated path for prospects to progress through the funnel. If you are able to activate direct engagement in conversation, traditional marketing funnels and intent data can be bypassed. 

So, curious to learn more about how to engage with your prospects from third-party content? Click the button below now and experience the magic for yourself. 


About The Author

1646224544 797 Activate the ‘Dark Funnel and unlock fresh leads in this

Have some big goals? The Bot Lab helps CMOs and Marketing leaders increase conversations, demos booked and accelerate sales, leveraging the power of conversational marketing. That’s right, bots are back in style.
With the launch of its newest platform, Helium, The Bot Lab provides Publishers with an additional mechanism to drive revenue and brands with instant access to high-quality leads on third party publisher sites. We do this through the power of conversational marketing and enabling real-time chat inside content. This creates a win-win. Publishers drive revenue and brands gain access to a new high-intent channel.


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MARKETING

YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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