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9 Reasons It’s Not Worth Lying to Sell More

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9 Reasons It’s Not Worth Lying to Sell More

As a salesperson, your success rests largely on quota attainment. Make quota consistently, and you’re a superhero. Miss quota a few months in a row, and everyday inches you closer and closer to a performance plan.

For reps or managers in the latter bucket, desperate times often call for desperate measures. First, maybe hitting the number is a matter of closing a few more deals. Then, suddenly, you’re stretching the truth on features and saying, “Sure, we can do that!” when you’re not sure you can really do that — or worse, you’re sure you absolutely cannot do that.

Sales is a notoriously stressful job, and the pressure to fudge the truth with prospects can become overwhelming when your goal is a long way away. But the unpleasant repercussions are not worth it. But before we delve into why lying doesn’t pay, let’s first see why salespeople lie.

Why Do Salespeople Lie?

An “honest salesperson” is a myth and a perfect example of an oxymoron to many. But why do salespeople lie?

We list three reasons why they do. Perhaps after reading this section, you’ll be more sympathetic towards them.

1. They don’t know the product

This is one big reason why the average salesperson distorts the truth. They simply don’t know what a product can or can’t do, so they stretch the truth about its capabilities.

As salespeople, they’re expected to know everything about what they’re selling, so it’ll be pretty embarrassing to admit, “Oh gee, I don’t know whether it can do this.”

2. They want to build a relationship with the customer

Most people have an innate desire to be liked, and salespeople are no exception. Thus, they tickle the ears of the customer because they want them to like them enough to make a purchase.

3. To make more money

No, we aren’t going to skip the primary reason people lie: to make money. Many salespeople lie about products and services to make a quick sale and move on to the next prospect.

Why Salespeople Shouldn’t Lie During the Selling Process

We now look at nine reasons why lying during the selling process is definitely not worth it.

Your new customer won’t be happy for long.

If you promised something that your company can’t deliver on to make a sale, your new client would learn the truth in short order, and warm, fuzzy feelings will turn into buyer’s remorse. By not being 100% honest, you might have sold them a defective product or service for their needs.

They may give you or someone else at your company an earful and leave it at that. Or, they could take to social media to air their grievances — which you never want to happen.

You’ll cause damage to you and your company’s reputation.

An angry phone call is bad, but an angry tweet or Facebook post is far worse. Your company just got crossed off vendor shortlists — not good for your organization’s brand perception or your personal reputation. Reaching trusted advisor status is the goal of many salespeople today, and that’s much harder to do with that type of baggage.

You’ll kiss upsell opportunities goodbye.

One of the perks of becoming a trusted advisor in your clients’ eyes is that they’re more receptive to upsell suggestions.

However, if you’ve already shown yourself to be a fibber, why should clients take your word on any additional items? You might have won a quick buck originally, but it could cost you additional revenue in the long run.

You may lose referrals, too.

Referrals are the best. You can skip a large portion of the prospecting and initial interest stages and dive right into the meat of your sales process with a higher success rate. In fact, according to NoMoreColdCalling.com, the close rate for referred clients is about 50%.

But if your new customer has caught you in a lie? I doubt they’ll be referring your company to much of anything, except maybe the door.

You’ll risk making internal enemies.

Let’s say you sold a product on a promise for a special kind of support you know your company wouldn’t typically provide. The client signs the contract, and you pass the buck along to the implementation team.

On to the next month? Well, not quite. What happens when the customer starts asking about the support you pledged? You committed another department to something they might not be able to give, and they’ll be understandably upset. Once your colleagues find out who’s to blame for their misery, you’ll garner a negative reputation internally.

You’ll contribute to sales stereotypes.

As part of his research for the book To Sell Is Human, Daniel Pink and Qualtrics conducted a survey called “What Do You Do At Work?” The question “When you think of ‘sales’ or ‘selling,’ what’s the first word that comes to mind?” aimed to gauge people’s perception of the sales profession.

If you’re sensitive, you might want to stop here. Among the most prevalent words were “pushy,” “sleazy,” “ugh,” “yuck,” “dishonest,” and “manipulative.”

If you’re a salesperson who takes pride in your work, this is worth bearing in mind. Whenever you bend the truth to make a sale, you feed into the general psyche’s negative perception. Don’t be a self-fulfilling prophecy. Your commitment to honesty might just change some deeply-rooted opinions about your industry.

Your customers will realize it.

Your customers are likely more intelligent than you give them credit for. Many can tell when you’re lying to them, skipping important information, or telling them what you think they want to hear.

Because of this, you’re far less likely to make a sale. So while you might meet someone that swallows your lies once in a while, you’ll lose more sales in the long run when you get called out on your lies.

Lying is counterproductive to your goals.

A lying salesperson might have contacted your current prospect, so they didn’t make a purchase. But when you bring honesty to the table, you’ll increase your chances of signing them up or making a sale.

Your self-esteem could suffer.

Having a reputation as an honest salesperson will boost your self-esteem. You’ll be happy knowing that you haven’t tricked or lied your way to making a sale.

A reputation for honesty improves professional and personal relationships. Furthermore, clients who trust your products stay loyal to your company, even through tough times.

Can Sales and Lying be Mutually Exclusive?

Although prospects are wary from the start because of past experiences with lying salespeople, you can set the foundation for a profitable relationship by being honest.

So, don’t ever lie to your clients. It might seem difficult to be upfront with customers, but they’ll appreciate your honesty, and you’ll be proof that sales and lying can be mutually exclusive.

Editor’s note: This post was originally published in August 2014 and has been updated for comprehensiveness.

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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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