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6 Affordable and Reliable Tools to Help you with sales in 2022

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6 Affordable and Reliable Tools to Help you with sales in 2022

The best way you can sell effectively is to have as a few repetitive tasks as possible in your sales routine. When you have more free time to actually interact and connect with your customers, the higher the chance you will increase your conversion rate.

When you speed up some of the more mundane things in your process, you can intimately get to know your customer’s wants and needs. The one thing we will never eliminate in sales is the human element. No copy, offer, or feature can replace the impression the customer gets from their salesman. And with technology today, you can handle more deals, connect with more clients, and have the best tools you can have to make your conversion rates as high as they can possibly be.

So let’s explore some of the best and most affordable tools out there:

This CRM tool is the best value for money option out there. Their software can manage and track any sale opportunity. You can create an invoice and quotation straight from your opportunity, which cuts down on your paperwork immensely.

By giving weighted values to a sale, you have the ability to predict how a sale forecast will be going in a given period. The thing is, you have a good deal of customizing you can do so that you can create your own sales process and its steps. And with their Opportunity History feature, you will be able to keep a good record of anything that happened to your sales opportunity.

With a full record, you can easily see what you did right or what you did wrong. It is hardly a coincidence that Really Simple System’s software is in GetApp’s 2021 Category Leaders and SoftwareAdvice’s 2021 FrontRunners rankings as their upmost top Sales Automation software products. These are ranked by actual users who give their reviews based on their experience.

This tool is great for prospecting and managing growth. Hoovers offers a way to get to your prospect and establish a profitable relationship (for both sides) by leveraging data and advanced analytics.

They use Bambora, an industry-leading data specialist who can easily identify any peaks in buying intent. This may sound all a bit technical, but their tools for prospecting are very user-friendly and clear. All the info you may need is provided right there on the spot, things like employee size, their revenue, the contact information of relevant personnel, etc. If a ton of data is something you value, Hoovers is the way to go.

Excellent for document creation, like making proposals and quotes. You can also make document tracking easy and their viewing, making them responsive like any web page.
Making them excellent with a lot of templates is easy.

With modular building blocks and an imposing image gallery, it truly is hassle-free. It is well integrated with Slack, Stripe, HubSpot, Salesforce, and others.

The only downside is the price, and with the lowest plan starting at $66 per month, it is not super affordable, but once you start using it, you will see that it is more than justified.

With every company out there having their website, you would think that putting the relevant contact information of their team on it would be a priority.

That’s where Voila Norbert comes in, and they are simply the best software out there for finding email addresses. Need to find an email from your local reporter? Want to reach out to blogs and contact their authors? Need a good way to fill up your pipeline with high-quality leads?

Whatever the need is, getting away to contact people is the first valuable step into creating a long-lasting business relationship. There is also a bulk identification method to reach people.

If managing content is your way of selling, then Get Accept is right for you. It doesn’t offer quite the modulation as Qwilr, but it is excellent if you are starting out. Their editorial tools are great, and you can create some decent templates.

You will also send your presentation to potential customers and follow it up with a video testimonial. Not only that, but you can also make amazing and engaging videos as well, a good way to stand out. And with their advanced tracking algorithm, you will be able to understand who is actually interacting with your content and in what way.

We included them here because if you don’t want to shell out $66 for Qwilr, GetAccept has much lower rates, especially when starting out.

Simply put, Unbounce is a great tool with which you can create smart landing pages. They offer instant copy generation for your business and claim over 30% more conversions on your website.
Their AI is a simply amazing tool in machine learning and will save you a ton of time you would spend making your own copy from scratch. Even if you don’t like what the AI has written, it can give you a good foundation for where to begin or structure your own landing page.

Unbounce is essential if you are out there and pretty much your own or your company’s sales team. You will be able to make your own campaigns fast and have all the info you need to make better decisions based on the feedback you get.

Conclusion

So what tool did you find most helpful? The all in one CRM from Really Simple Systems or Voila Norbert, the resident internet email detective? You don’t have to use all of these tools, just the ones where you identify you can use some help with. We included a diverse tool kit that will aid you best in your lead generation pursuit. Because we know finding prospects can be a pain, and it doesn’t need to be.

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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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