MARKETING
How combining PPC with email marketing can help you maximise your leads
For many firms, getting as many good leads as possible is the primary goal of their marketing strategy. But turning these into customers requires a very smart strategy using multiple tools.
Every firm has different priorities when it comes to marketing. For some, the key is to build up awareness gradually, so that a wide potential base of customers can be built up over time.
By contrast, other firms will consider it imperative to generate as many leads as possible as fast as they can. This means taking steps that will enable them to bring in new leads swiftly and potentially have paying customers within a short time of setting up shop.
What tools are available?
Because aims will differ, so will the best digital marketing tools to use. The key is to select the correct ones from a wide range. Among them are:
- Content marketing and SEO
- Pay-per-click (PPC) and advertising
- Email marketing
- Social media management
- Remarketing
- E-commerce influencers
Of course, marketing decisions may be determined by a range of factors, from business strategy and the level of financial back-up available through to the nature of the business itself.
However, if yours is a firm that falls into the category of seeking to bring in leads quickly, it is clear that the marketing strategy should, in order to be successful, employ the most effective methods possible to achieve this.
Digital marketing provides several of these and the best strategy will never rely just on one of them, but a combination designed to help the customer through the whole of the buyer journey. PPC and Email marketing can offer a particularly effective multi-level marketing strategy.
What does the buyer journey involve?
Any marketing mix you choose should seek to cover different parts of the buyer journey, which has several stages. The first three are the commonly acknowledged parts:
- Awareness – the point where someone becomes aware of your firm and what it can offer
- Consideration – the period of time in which they are considering whether or not to make a purchase
- Decision – the point at which they are going to make their minds up, either to go ahead or walk away.
A fourth stage may be added, which is ‘delight’. This is a post-purchase stage in which you can help turn a one-off customer into a loyal and regular customer by providing excellent customer service and incentives to reward their loyalty.
By understanding these different stages, you can appreciate the effectiveness of a combination of PPC and email marketing.
How does PPC get the ball rolling?
PPC is a popular tool when a firm is not yet well established online. Since organic content marketing is focused mainly on awareness and even the best SEO takes several months to get content to the first page of search engine rankings, it is not ideal if you want to get the customers visiting your website very soon.
By contrast, PPC, by bidding for advertising space on the search engine rankings pages (or on social media pages) can get you there faster. Your ad still needs to be optimised, especially with the relevant search terms, but it offers not only a swift route to the attention of those using search, but also a means of gaining leads whenever someone clicks on your ad.
Of course, it comes with a cost for each click, but you can set a budget to ensure you don’t end up spending too much. In the meantime, each of those clicks has the potential to be a future customer.
Before you get started, it is worth noting there are several options for the best PPC avenue:
- You can choose from search engine rankings pages and / or social media
- Several different search engines offer PPC (Google, Bing and others)
- There are also various social media platforms you can pick from, which can be ideal when targeting the right audience for your products and services
How does Email marketing take your leads forward?
PPC can help get people to the awareness stage and into the consideration stage, but on its own many will not take matters further. This is where Email marketing can synergise with PPC to help turn warm leads into hot ones, and hot ones into customers.
The key is in the design of your PPC ads; by encouraging people to provide email details by signing up for more information about your products or something else of interest like a free newsletter, you can capture their email details and, potentially, some more details as well.
All this opens up the opportunity for you to send a range of tailored emails to your leads. Each of these can be designed according to what the lead is interested in and where they ae in the buyer journey:
- The email can focus on the products or services they have expressed an interest in
- You can have emails designed for the consideration stage to seek to push them towards a decision
- Further emails can be aimed at those who are at the decision stage to nudge them over the line
- When someone has become a customer, further emails can provide them with opportunities for interaction and special offers to make repeat purchases
Another reason all these emails can help back up your PPC efforts is the ‘rule of seven’. This is commonly known to marketers and is an understanding that the typical customer needs to encounter a marketing message seven times before making a buying decision. This is why a marketing campaign using multiple tools that offers several opportunities to contact people is more likely to bear fruit.
What tools can help an email marketing campaign?
At first, it can seem daunting to be faced with a plethora of leads, with large numbers of different people interested in various things and at various stages of the buyer journey. Having designed several different emails, how can you be sure you are sending them to the right people.
The good news is that there are several email marketing systems that let you split up people into different categories (known as groups or segments). These include Mailchimp, GetResponse and Optin Monster.
How can we help?
At BeUniqueness, we can help you find the right combination of marketing tools to suit your needs. A combination of PPC and email marketing is just one example among many of the solutions we can develop. In each and every case, we seek to tailor something that is ideally suited to your own unique situation.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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