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10 Ways to Use AI for Better Ads

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10 Ways to Use AI for Better Ads

In our recent post about OpenAI’s ChatGPT, we unpacked what the tool is and how it works, and why we don’t see its popularity as a threat to search engines like Google. In this post, we’ll be diving further into the OpenAI Playground, and how PPC marketers can use that tool along with ChatGPT to save time on research, ideation, execution, and more.

The Playground is a basic UI built on top of OpenAI’s API. OpenAI has recently added ChatGPT to their API. When accessing ChatGPT through this UI, users have the ability to customize the model being used for each query (or continuation of the “conversation”) as they progress through their work.
 

How to Write ChatGPT Prompts

 
When working with tools like ChatGPT, it’s important to be as clear as possible in what you ask, and how you ask it. As you write prompts for ChatGPT to work with in retrieving and displaying the information you need, remember that you are giving instructions in a more direct way than you might if conversing with a colleague.

While another person may have contextual insight into what you’re really looking for with your question, tools like ChatGPT take language more literally, tailoring their response to the information you explicitly provide in your request.

ChatGPT will consider every element of your ask, so don’t give generic prompts. The more information you provide the tool in your prompt, the better it will be able to generate what you’re looking for in its response.

Example: Let’s assume you’re using ChatGPT for dinner inspiration…

  • Generic prompt (least likely to return what you’re looking for): Give me 10 recipe ideas for a home-cooked dinner
  •  

  • Slightly better prompt: Give me 10 recipe ideas for a home-cooked dinner with squash as the primary ingredient
  •  

  • Even better prompt: Give me 10 recipe ideas for a vegetarian home-cooked dinner that I can make in an air fryer in 20 minutes or less with squash as the primary ingredient

See here and the examples below for more information and inspiration on crafting strong prompts.
 

How to Start Using the OpenAI Playground for PPC Marketing

 

To get started with the OpenAI Playground, create an account using your personal email address at https://platform.openai.com/. Once you’re logged in, navigate to the Playground page to access the interface and begin making requests.

screenshot of open ai playground

The right-hand sidebar provides some options for different modes and GPT submodels, as well as Codex models, which are primarily used for generating code. The Complete mode is selected by default, along with the text-davinci-003 model. The other models within the “Complete” mode are typically faster and cheaper but are also less advanced, so they may be viable alternatives depending on the nature of your needs. ChatGPT can be accessed via the Chat mode and is what we used for the examples below.
 

OpenAI Playground Tokens and Settings

The billing model for using this service is constructed around the concept of tokens. Each new user gets $18 of free credit (900K tokens) that can be used during their first 3 months from sign up; after that, it’s $0.02 for every 1,000 tokens.

There is a token counter in the footer of the Playground display which can help you keep track of how many tokens you are using. 1 token is approximately 4 characters (or 0.75 words), with token usage measured against both your prompts and the responses.

You can limit the number of tokens that can be used in a response by toggling the Maximum length slider on the right hand sidebar, which is set to a 256-token cap by default. If you make an inquiry that requires an elaborate response, you may see the response get cut off before completion; in this case, it may be helpful to increase the Maximum length.

There is a maximum of 4,000 tokens that can be used in a single “request” (single session), i.e. a series of questions within the same Playground. Once you’ve hit that limit, all you need to do is delete your earlier prompt questions and answers, or save them as a “preset” before moving on to a new prompt.

open ai playground screenshot with arrow highlighting button to save your preset

Note: The use of tokens is required in the OpenAI Playground, but not when using ChatGPT natively. As of the time of this writing, ChatGPT is still free to use. A paid version of ChatGPT with advanced features and benefits is also available—ChatGPT Plus.
 

OpenAI Playground and ChatGPT Temperature

open ai playground screenshot highlighting where you can adjust the temperature

The Temperature setting controls randomness; lowering the temperature results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. For most PPC purposes, we recommend a temperature range of 0.6-0.8 as optimal.
 

10 Ways PPC Marketers Can Use GPT to Improve Workflow Efficiency

 

“In terms of use cases, there are many different ways in which people working in all industries, and all fields of expertise, can lean on tools like ChatGPT and the OpenAI API to improve their efficiency and automate certain redundant tasks. This technology can help with smaller, repetitive tasks, such as breaking down a long document into a bullet point summary. However, when it comes to critical thinking and understanding the implications of things, I would be very cautious about over-relying on AI.”

Portrait of Josh O'Donnell
Josh O’Donnell, Sr. Strategist, Paid Search at Tinuiti

A couple of important things to consider before diving into our examples below:

  1. ChatGPT/GPT language models training data cuts off in 2021. They do not have any knowledge of current events, and cannot accurately respond to questions about such topics. ChatGPT is not aware of things like who won the big game last night; it is not even aware of what day it is.
  2.  

  3. ChatGPT/GPT language models do not have access to the internet or any other kind of external data retrieval; they can only answer questions based on the knowledge acquired from their training data. They cannot verify facts or provide references, only generate responses based on their own internal knowledge and logic.

 

1. Keyword Research

Whether you work on the Paid Search side of marketing, or the organic side, you know how important (and time-consuming) thorough keyword research can be. One of the most important rules of marketing is to know your audience—which includes knowing what they want, and how they search for it—and the OpenAI Playground can help you find those answers faster.

Sample Scenario:

You’re just getting started building a new PPC campaign for a client that sells running shoes. To kick off your initial keyword research, you want to get an idea of which related keywords are being searched most often. You want a Top 20 keyword list, and GPT can generate a list for you to help you get started.

The prompt: Provide me with a list of 20 running shoe keywords for google ads, list them in descending order based on expected search volume in the United States.

The result:

screenshot showing how open ai playground can help with keyword research

Note that since OpenAI enables you to continue the “conversation” beyond your first query, we also asked it where it got the returned information from (above photo); it’s always important to consider the source when relying on AI-generated responses. This is a good example of why it’s important to take the outputs with a grain of salt, using them as inspiration to get you started, but not the finished product.
 

2. Competitor Research

Comprehensive competitor research and analysis is a crucial part of a marketer’s job, helping inform and guide their campaigns. However, just like keyword research, this is also an ongoing, time-consuming process.

When you work in a complex space—or your products or services are part of different spaces—it can sometimes feel overwhelming to assure you’re accounting for everything and everyone. The OpenAI Playground can help make short work of initial research in a variety of ways.

Below, we showcase the results provided by three different prompts aimed at unpacking competitor insights instantly…

Sample One: Ask for a list of top US competitors ranked largest to smallest with accompanying website URLs to get ideas for custom audiences, messaging, and product positioning.

screenshot showing the results when asking open ai tool for a list of top running shoe companies in US ranked largest to smallest with website URL

Sample Two: Ask objective questions about your competitor and their product.

screenshot showing results when asking open ai playground to describe advantages of a competitor product compared to another product, including which is more geared toward price-conscious consumers

Sample Three: Ask about pain points for competitor products, and use that info to inform your own product messaging & marketing strategies.

example of using open ai to uncover competitor pain points
 

3. Generate Ad Copy

In the below examples, we used the URL of the ad’s landing page to help inform the suggestions from ChatGPT, providing character limits in our prompt to help direct the output. If your original result doesn’t meet your expectations, continue to sculpt with additional follow-up prompts. GPT cannot access these web pages in real-time, but it can use the context from the URL structure to inform the output.

example of using open ai playground to help with ad copy headline ideas

example of using open ai playground for help with writing google ads descriptions

“It’s more of a utilitarian thing, where you provide the tool with the data, and ask it to manipulate that data for a better output. One example is to provide it with a web page, and ask it to generate some ad copy based on the URL text; it can provide fifteen or twenty options within seconds. I would never recommend simply taking those headlines and pasting them into an ad, but you can now start off your project with a list that you or a teammate can garner inspiration from, and strategically refine or tweak to fully optimize. This gives the practitioner more time to spend on critical thinking, with ChatGPT taking away the more mundane elements of the task.”

Josh O’Donnell, Sr. Strategist, Paid Search at Tinuiti

The copy itself should be quality, but the important aspect of parity between what you’re saying on the ad and what’s on the page can be efficiently solved for.
 

4. Translations of Copy & Headlines

In the example below, we asked ChatGPT to translate the 5 English language ad copy options generated above into Spanish. Additional options currently available include French and Japanese translations.

example of using open ai playground for copy translation
 

5. Answer Questions on Demand

Similar to ChatGPT, the OpenAI Playground can also be used for Q&A purposes. Just remember that answers can only be generated based on the tool’s current knowledge.

screenshot of Q&A information from open ai website

Source: https://platform.openai.com/examples/default-qa

This can be especially helpful during calls with clients when you need a fast and simple answer to keep the conversation moving forward.
 

6. Simplify Complex Concepts

When talking about digital marketing with other practitioners, we know our audience ‘speaks the same language’ and certain questions, concepts, or outcomes need no further explanation. However, those same complexities aren’t always as easy to communicate to newer team members or clients.

Even when our day-to-day contacts are digital savvy, they often have to convey information to those higher up the chain in their organization who might not be as familiar with the lingo, or even why certain things they’re highlighting matter.

For scenarios like these, OpenAI’s Summarize for a 2nd grader feature can prove especially helpful. Once you have the foundation laid out, you can add more color and context to paint the fuller picture without worrying the basics would be glazed over.
 

7. Generate Product Descriptions & Names

Working with accurate, well-optimized product names and descriptions is one of the most essential elements of effective marketing. Strong, descriptive names and product information help search engines and users alike in uncovering the items that will be most relevant to their needs.

screenshot from open ai website showcasing how their product name generator works

Source: https://platform.openai.com/examples/default-product-name-gen

While names and descriptions will always require a human touch for proper refinement, tools like ChatGPT and the OpenAI Playground can provide a great starting point to build from.
 

8. Parse Unstructured Data

The OpenAI Playground makes it easy to organize long-form text into a table format. Simply specify a desired structure, provide a few examples to work from, and enjoy the time saved.

screenshot from open ai website showing a prompt for parsing unstructured data

Source: https://platform.openai.com/examples/default-parse-data

screenshot from open ai website showing a response from a prompt asking for structured data

Source: https://platform.openai.com/examples/default-parse-data

 

9. Call Summaries & Follow-Ups

Call summaries are an important aspect of keeping organized and ensuring everyone working on a project is clued into plans and discussions, even if they weren’t part of the original calls. Putting together these comprehensive, valuable recaps can sometimes take as much time as the call itself, but GPT can help.

Below, we asked GPT to write a follow-up email based on a call summary.

screenshot of response when asking GPT to write follow-up email based on call summary
 

10. Convert text from first-person to third-person

We have found this feature especially helpful for turning our own notes into actionable steps someone can follow when shared. For example, if you want to share steps for completing a process with a team member or client, you can type naturally using “I” language to convey those directions. You can then quickly convert the text to third-person, adjusting as necessary for optimal clarity.

Screenshot from Open AI website showing how third-person converter works

Source: https://platform.openai.com/examples/default-third-person

 

Conclusion

 
The capabilities of advanced tools like OpenAI’s Playground and ChatGPT can make short work of mundane tasks, help quickly generate ideas and direction, and ultimately save us all time to focus on the elements of marketing and advertising where our expertise and strategic insights can truly shine. If you’re interested in more under-the-hood information about how ChatGPT works, check out Stephen Wolfram’s breakdown of ChatGPT. Also see here for additional application options, or reach out today to learn more about how our Paid Search team can bring your PPC advertising results to the next level!
 

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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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Why The Sales Team Hates Your Leads (And How To Fix It)

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Why The Sales Team Hates Your Leads (And How To Fix It)

Why The Sales Team Hates Your Leads And How To

You ask the head of marketing how the team is doing and get a giant thumbs up. 👍

“Our MQLs are up!”

“Website conversion rates are at an all-time high!”

“Email click rates have never been this good!”

But when you ask the head of sales the same question, you get the response that echoes across sales desks worldwide — the leads from marketing suck. 

If you’re in this boat, you’re not alone. The issue of “leads from marketing suck” is a common situation in most organizations. In a HubSpot survey, only 9.1% of salespeople said leads they received from marketing were of very high quality.

Why do sales teams hate marketing-generated leads? And how can marketers help their sales peers fall in love with their leads? 

Let’s dive into the answers to these questions. Then, I’ll give you my secret lead gen kung-fu to ensure your sales team loves their marketing leads. 

Marketers Must Take Ownership

“I’ve hit the lead goal. If sales can’t close them, it’s their problem.”

How many times have you heard one of your marketers say something like this? When your teams are heavily siloed, it’s not hard to see how they get to this mindset — after all, if your marketing metrics look strong, they’ve done their part, right?

Not necessarily. 

The job of a marketer is not to drive traffic or even leads. The job of the marketer is to create messaging and offers that lead to revenue. Marketing is not a 100-meter sprint — it’s a relay race. The marketing team runs the first leg and hands the baton to sales to sprint to the finish.

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via GIPHY

To make leads valuable beyond the vanity metric of watching your MQLs tick up, you need to segment and nurture them. Screen the leads to see if they meet the parameters of your ideal customer profile. If yes, nurture them to find out how close their intent is to a sale. Only then should you pass the leads to sales. 

Lead Quality Control is a Bitter Pill that Works

Tighter quality control might reduce your overall MQLs. Still, it will ensure only the relevant leads go to sales, which is a win for your team and your organization.

This shift will require a mindset shift for your marketing team: instead of living and dying by the sheer number of MQLs, you need to create a collaborative culture between sales and marketing. Reinforce that “strong” marketing metrics that result in poor leads going to sales aren’t really strong at all.  

When you foster this culture of collaboration and accountability, it will be easier for the marketing team to receive feedback from sales about lead quality without getting defensive. 

Remember, the sales team is only holding marketing accountable so the entire organization can achieve the right results. It’s not sales vs marketing — it’s sales and marketing working together to get a great result. Nothing more, nothing less. 

We’ve identified the problem and where we need to go. So, how you do you get there?

Fix #1: Focus On High ROI Marketing Activities First

What is more valuable to you:

  • One more blog post for a few more views? 
  • One great review that prospective buyers strongly relate to?

Hopefully, you’ll choose the latter. After all, talking to customers and getting a solid testimonial can help your sales team close leads today.  Current customers talking about their previous issues, the other solutions they tried, why they chose you, and the results you helped them achieve is marketing gold.

On the other hand, even the best blog content will take months to gain enough traction to impact your revenue.

Still, many marketers who say they want to prioritize customer reviews focus all their efforts on blog content and other “top of the funnel” (Awareness, Acquisition, and Activation) efforts. 

The bottom half of the growth marketing funnel (Retention, Reputation, and Revenue) often gets ignored, even though it’s where you’ll find some of the highest ROI activities.

1716755163 123 Why The Sales Team Hates Your Leads And How To1716755163 123 Why The Sales Team Hates Your Leads And How To

Most marketers know retaining a customer is easier than acquiring a new one. But knowing this and working with sales on retention and account expansion are two different things. 

When you start focusing on retention, upselling, and expansion, your entire organization will feel it, from sales to customer success. These happier customers will increase your average account value and drive awareness through strong word of mouth, giving you one heck of a win/win.

Winning the Retention, Reputation, and Referral game also helps feed your Awareness, Acquisition, and Activation activities:

  • Increasing customer retention means more dollars stay within your organization to help achieve revenue goals and fund lead gen initiatives.
  • A fully functioning referral system lowers your customer acquisition cost (CAC) because these leads are already warm coming in the door.
  • Case studies and reviews are powerful marketing assets for lead gen and nurture activities as they demonstrate how you’ve solved identical issues for other companies.

Remember that the bottom half of your marketing and sales funnel is just as important as the top half. After all, there’s no point pouring leads into a leaky funnel. Instead, you want to build a frictionless, powerful growth engine that brings in the right leads, nurtures them into customers, and then delights those customers to the point that they can’t help but rave about you.

So, build a strong foundation and start from the bottom up. You’ll find a better return on your investment. 

Fix #2: Join Sales Calls to Better Understand Your Target Audience

You can’t market well what you don’t know how to sell.

Your sales team speaks directly to customers, understands their pain points, and knows the language they use to talk about those pains. Your marketing team needs this information to craft the perfect marketing messaging your target audience will identify with.

When marketers join sales calls or speak to existing customers, they get firsthand introductions to these pain points. Often, marketers realize that customers’ pain points and reservations are very different from those they address in their messaging. 

Once you understand your ideal customers’ objections, anxieties, and pressing questions, you can create content and messaging to remove some of these reservations before the sales call. This effort removes a barrier for your sales team, resulting in more SQLs.

Fix #3: Create Collateral That Closes Deals

One-pagers, landing pages, PDFs, decks — sales collateral could be anything that helps increase the chance of closing a deal. Let me share an example from Lean Labs. 

Our webinar page has a CTA form that allows visitors to talk to our team. Instead of a simple “get in touch” form, we created a drop-down segmentation based on the user’s challenge and need. This step helps the reader feel seen, gives them hope that they’ll receive real value from the interaction, and provides unique content to users based on their selection.

1716755163 298 Why The Sales Team Hates Your Leads And How To1716755163 298 Why The Sales Team Hates Your Leads And How To

So, if they select I need help with crushing it on HubSpot, they’ll get a landing page with HubSpot-specific content (including a video) and a meeting scheduler. 

Speaking directly to your audience’s needs and pain points through these steps dramatically increases the chances of them booking a call. Why? Because instead of trusting that a generic “expert” will be able to help them with their highly specific problem, they can see through our content and our form design that Lean Labs can solve their most pressing pain point. 

Fix #4: Focus On Reviews and Create an Impact Loop

A lot of people think good marketing is expensive. You know what’s even more expensive? Bad marketing

To get the best ROI on your marketing efforts, you need to create a marketing machine that pays for itself. When you create this machine, you need to think about two loops: the growth loop and the impact loop.

1716755163 789 Why The Sales Team Hates Your Leads And How To1716755163 789 Why The Sales Team Hates Your Leads And How To
  • Growth loop — Awareness ➡ Acquisition ➡ Activation ➡ Revenue ➡ Awareness: This is where most marketers start. 
  • Impact loop — Results ➡ Reviews ➡ Retention ➡ Referrals ➡ Results: This is where great marketers start. 

Most marketers start with their growth loop and then hope that traction feeds into their impact loop. However, the reality is that starting with your impact loop is going to be far more likely to set your marketing engine up for success

Let me share a client story to show you what this looks like in real life.

Client Story: 4X Website Leads In A Single Quarter

We partnered with a health tech startup looking to grow their website leads. One way to grow website leads is to boost organic traffic, of course, but any organic play is going to take time. If you’re playing the SEO game alone, quadrupling conversions can take up to a year or longer.

But we did it in a single quarter. Here’s how.

We realized that the startup’s demos were converting lower than industry standards. A little more digging showed us why: our client was new enough to the market that the average person didn’t trust them enough yet to want to invest in checking out a demo. So, what did we do?

We prioritized the last part of the funnel: reputation.

We ran a 5-star reputation campaign to collect reviews. Once we had the reviews we needed, we showcased them at critical parts of the website and then made sure those same reviews were posted and shown on other third-party review platforms. 

Remember that reputation plays are vital, and they’re one of the plays startups often neglect at best and ignore at worst. What others say about your business is ten times more important than what you say about yourself

By providing customer validation at critical points in the buyer journey, we were able to 4X the website leads in a single quarter!

1716755164 910 Why The Sales Team Hates Your Leads And How To1716755164 910 Why The Sales Team Hates Your Leads And How To

So, when you talk to customers, always look for opportunities to drive review/referral conversations and use them in marketing collateral throughout the buyer journey. 

Fix #5: Launch Phantom Offers for Higher Quality Leads 

You may be reading this post thinking, okay, my lead magnets and offers might be way off the mark, but how will I get the budget to create a new one that might not even work?

It’s an age-old issue: marketing teams invest way too much time and resources into creating lead magnets that fail to generate quality leads

One way to improve your chances of success, remain nimble, and stay aligned with your audience without breaking the bank is to create phantom offers, i.e., gauge the audience interest in your lead magnet before you create them.

For example, if you want to create a “World Security Report” for Chief Security Officers, don’t do all the research and complete the report as Step One. Instead, tease the offer to your audience before you spend time making it. Put an offer on your site asking visitors to join the waitlist for this report. Then wait and see how that phantom offer converts. 

This is precisely what we did for a report by Allied Universal that ended up generating 80 conversions before its release.

1716755164 348 Why The Sales Team Hates Your Leads And How To1716755164 348 Why The Sales Team Hates Your Leads And How To

The best thing about a phantom offer is that it’s a win/win scenario: 

  • Best case: You get conversions even before you create your lead magnet.
  • Worst case: You save resources by not creating a lead magnet no one wants.  

Remember, You’re On The Same Team 

We’ve talked a lot about the reasons your marketing leads might suck. However, remember that it’s not all on marketers, either. At the end of the day, marketing and sales professionals are on the same team. They are not in competition with each other. They are allies working together toward a common goal. 

Smaller companies — or anyone under $10M in net new revenue — shouldn’t even separate sales and marketing into different departments. These teams need to be so in sync with one another that your best bet is to align them into a single growth team, one cohesive front with a single goal: profitable customer acquisition.

Interested in learning more about the growth marketing mindset? Check out the Lean Labs Growth Playbook that’s helped 25+ B2B SaaS marketing teams plan, budget, and accelerate growth.


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