Sarah McConnell & Parthi Loganathan

Streamline Content Creation & Distribution with Letterdrop AI


Parthi Loganathan, CEO, demonstrates how Letterdrop AI helps teams understand exactly which content is helping drive revenue for their business.



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[MUSIC]

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Hello everyone and welcome to Go to Market AI,

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the future of your Go to Market tech stack.

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I'm your host Sarah McConnell.

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These days it seems like every company has AI,

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but on this show we want to go a level deeper so you can see

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first-hand how businesses are actually applying AI to solve your business

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challenges.

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We're going deep into the use cases and showing you

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live demos of the latest and greatest in AI technology.

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Today I'm joined by Parthi Loganathan, CEO at LetterDrop.

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Parthi, welcome to the show. I'm so excited you're here.

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>> Thanks for having me.

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>> Yeah, it's great to have you here.

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First up, I would love to know who is LetterDrop,

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what do you guys do and who are you helping on the market?

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>> Absolutely.

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LetterDrop is a product for B2B marketers.

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What we do is we help those companies identify,

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create, and distribute content that actually drives revenue.

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Our goal is to help companies build more organic inbound so that they can be

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less reliant on cold outbound and paid,

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which are just less efficient,

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especially in this market environment that we're currently in.

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We're currently working with lots of customers,

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probably in the 50 to a thousand employee range.

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Some logos you might recognize are companies like

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Syntagia, gorgeous, RAM, Jam, Peace Script, etc.

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>> Perfect. Well, all those things that you just talked about,

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being less reliant on outbound driving revenue,

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those are music to my ears,

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is someone in marketing and demanding.

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I am very excited to jump into this demo.

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If you don't mind, let's get into the demo.

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Let's see what it's like behind the scenes.

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>> I'm just going to give you a quick preview.

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I'm giving you an introduction about where this company comes from.

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I used to be a product manager on the search team at Google,

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which is why I saw how people were tackling SEO,

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which is where a water drop really started.

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We've had a ball from SEO to

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thinking about inbound marketing more holistically.

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We went through YC and over the past two years,

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we've helped well over 100 marketing teams.

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Like I mentioned before, the goal is to help companies identify,

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create and distribute content that actually drives revenue.

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I feel like historically,

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a lot of people really don't understand how organic ties back to revenue,

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and then they waste a lot of resources,

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investing in stuff that doesn't actually move the needle.

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We've helped a bunch of companies over here actually figured that journey out.

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Companies like scribe,

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they're especially the smaller ones where we see them go on

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that rocket ship trajectory using

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water drop has been really exciting going from something like

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6,000 to well over 100,000 in qualified traffic with a 13 percent conversion

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rate.

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It's been really exciting helping those customers actually figure out their in

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bound motion.

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The reason we do this is because we know that cold outbound is getting harder

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every year.

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That's why folks like qualified exists to help you actually identify who you

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should be going after as well.

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We also know that paid is not efficient,

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especially since market conditions have changed.

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Money is not no longer free for a lot of companies.

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You have to think a little bit more carefully about your cap.

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We're trying to figure out what is the future organic inbound really look like.

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I think companies like HubSpot really defined this in the 2000s,

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but things have really changed since then.

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With AI and the platforms people are using and how people are really thinking

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about their data.

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That's where a letter drop comes in and we're really thinking about what in

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bound 2.0 looks like.

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The real question is how do we do this?

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We break this down into three parts.

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The first is actually helping you understand the buyer journey and what's

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blocking sales.

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This is going to actually inform what types of marketing campaigns you want to

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be running.

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We integrate with LinkedIn clear a bit your CRM,

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your sales call software to actually pull in that data and help you understand

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what content, what channels are actually impacting your buying decision.

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Second thing we do is help you create and defend the assets which actually

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drive pipeline.

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Across our customers, what we discover is that it's a minority of their content

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their campaigns that actually move the needle.

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What we want to help companies do is focus on those,

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double down on those and make sure that those are the ones that they're putting

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out into the world.

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That they can actually repeat these successful buying journeys that they have

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previously.

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Finally, after creating those assets, we help them distribute them.

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How do you get these in front of your buyers?

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Distributing to your website, to YouTube, LinkedIn,

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really focus on where B2B buyers work.

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A little bit of a bias towards that.

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Eventually, get people to your website.

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You can use tools like qualified to actually close a loop and convert them over

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there.

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Yeah, this is a go.

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Yeah, we'll have talking about qualified as well.

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I think all of these MARTech tools and sales tech tools really work together.

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It's really about which part of the funnel everybody's working at.

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Let's talk about step one in that process I mentioned earlier and then jump

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into a demo now.

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Is identifying what is actually driving revenue across your website,

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across LinkedIn and across your sales calls or what's blocking revenue over

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there.

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With LetterDrop, we connect into all of these platforms.

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Your CEO is called data, your website data.

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Then we actually help you understand what is your content source pipeline.

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What are people, which deals came in because they read something,

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where they consume some content and they're like,

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"Hey, that's interesting. I want to check this out."

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How much of your pipeline, which deals are being accelerated by content?

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Essentially, how many of them are being,

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how much of this content is sales enablement,

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where folks are continuing to consume this during the sales cycle

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before they're closed one or closed loss.

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Finally, how many of your deals and what revenue is actually influenced by

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content

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in any capacity throughout this?

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Once you actually have these numbers, and once again,

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these are lower bound numbers, there's still a lot of parts of the dark funnel

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that can't be captured, but this gives you a good baseline.

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You can actually understand where you want to invest your energy.

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You can say, "Hey, these are the pages which are kind of our money pages.

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These are the ones which actually drive revenue.

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These are topics which are resonating with people,

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and we want to make sure that they're not dropping in SEO rankings.

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We want to make sure we're sharing them in our newsletter.

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We want to make sure we're turning this into LinkedIn posts

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and putting it in front of people because we know they've historically worked

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for us.

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We can help you dive down at a page level

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so you can actually understand how people are coming here,

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search traffic or organic traffic.

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What's this pages influence on revenue and pipeline?

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And who's actually visiting these pages?

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We integrate it into your identity provider,

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whether that be clear bits, six cents, zoom info, whatever you use.

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We essentially help you actually activate that data from a marketing standpoint

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You can actually understand what the buyer journey looks like

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for one of these individual accounts as well.

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So we'll say, "Hey, these are the different accounts on your website."

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Here is what they're really consuming, essentially.

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Like this company over here really cares about social selling and SEO, for

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example.

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If I click in, I can actually understand what's going on.

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So I can see this company over here.

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We actually have a deal open in our HubSpot CRM.

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We know the value.

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We can see the sales calls that they've had.

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We can see when they've engaged with LinkedIn posts that we've created.

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We can see the website visits that they've had.

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So you can actually really understand what was this buyer's journey,

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what were all the touch points they had before they eventually

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took a call and became a customer.

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And then from the calls also will help you understand

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what do they talk about during those calls as well,

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so that you can actually understand the questions

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that you might want to unblock with future content.

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So now that you have a good understanding of what has historically driven

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revenue and what is blocking revenue,

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you can actually inform your future marketing campaigns.

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And so we're going to transition into sort of stage two of LetterDrop,

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which is how do we actually create this content.

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And so with LetterDrop, our goal is to make it very little friction

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to help you create these assets once you know what you want to create.

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And the way in which we believe AI should be used is it's not raw,

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chat sheet T, it's not just getting an LM to output stuff.

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If you don't like consuming AI content,

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like a lot of people probably shouldn't be creating AI content as well,

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because that's what that's the experience you're giving to your buyers.

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And so our belief around AI and content is really using AI to sort of stream

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line

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the creation process.

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How do you essentially transform a thought that a informed marketer

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or sales person or product person had and turn that into actual assets?

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So to that end, we do things like collect samples from you in terms of,

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hey, what do you want to sound like?

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What are templates you might have for different platforms?

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So for example, in LinkedIn, you might say,

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hey, this is what I sound like when I'm doing it,

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when I'm giving people advice with an analogy, or here is what I sound like

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when I do a product launch.

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And so we really learn what you want to do and how you want to frame things.

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We do the same with your company.

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We learn things about your style guide information about your company,

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your different personas features and how they map back to these personas.

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And all this stuff influences how AI actually creates your content.

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So let's jump into what that creation process actually looks like.

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So for example, if you were starting with a completely blank page

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and you wanted to write a lot of posts for your website based on some

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information

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you gathered earlier, what you could do in LetterDrop is go click on generate

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first draft.

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And what we will do for you is a couple of things.

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Either we can give you a research dump and just go do a whole bunch of research

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for you

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and just parse it for you and give it back to you so that you can make sense of

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it.

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Or if you want to give AI a chance and create a first draft,

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you can actually guide it by giving it a brief.

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You can choose the persona that you're selling to.

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Then you can give it a couple bits of other information.

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You click on generate, it will take a couple of minutes to do research for you

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and get back to you with something like this.

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So this is pretty decent.

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It's not just chat sheet BT.

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It's actually using a whole bunch of sources.

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It's actually understanding all the top pages ranking on Google.

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If you don't want some of them, you can move them out.

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You can see qualified in here.

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This is actually a keyword that qualified ranks for.

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And it puts together an outline for you.

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It tries to follow best practices, putting in FAQs.

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Remember how we said like we're targeting VP's of marketing.

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In this case, things are product is LetterDrop because I'm in our workspace.

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It's trying to call us out.

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It's doing all this stuff and it's making sure all these sections are things

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that the top pages cover.

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This is a good baseline, but we would highly recommend you don't publish this.

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We're on asking people to publish AI content.

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We're just saying like, hey, here's how you cut down time on research and get

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started.

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From here, what you can do is really do things like,

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hey, I want to get somebody who actually knows what they're talking about.

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So if I wanted Sarah to pop in and record herself,

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and I don't know if this is your email, but I'm just going to drop it down,

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I didn't ask Sarah a question.

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There we go.

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So I'm going to ask you a question and then it'll make it really easy to

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essentially go.

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It'll go out there and it'll interview you and get back a nice quote from you.

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And we'll add captions.

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We'll add your company logo and it's ready to publish to YouTube

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and embed in your blog posts and pull up all the insights you had into your

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content.

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So not only are we giving you a good baseline,

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but we're actually helping you unravel those insights, unique insights,

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for people who actually know what they're talking about and introduce that into

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your content.

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Because that's really important.

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You don't want to be the same as every, like every one of our customers can use

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this tooling.

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It's more about how you use this tooling with your data to stand out.

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We don't want to encourage everyone to be the same.

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So lots of stuff like that.

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You can also drop in video, audio, podcasts and letter drop will essentially

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pull from those

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so you can pull out insights.

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You can say, hey, I want to get all of the, I want to get a bunch of quotes

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from this podcast episode

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over here and then we'll just pull those for you and insert them in here.

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So you can really mix and match with a lot of different, like media formats to

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construct really good content.

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So now that you have this in place, we'll actually help you figure out,

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okay, how do I make sure that this gets seen by people?

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And we help with three channels.

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One is Google and your website.

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The second is LinkedIn and the third is sales enablement.

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I'm going to focus on Google and SEO right now.

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And so this is the kind of tooling that companies like Ram, Scribe, etc.

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have used to drastically increase their qualified traffic over the past year.

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I actually figured out, okay, how do we answer search engine and give people

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great information?

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Instead of trying to game the system.

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And so Letter Drop will actually help you understand, okay, how do I understand

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what people are looking for?

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Should I even be writing an article? Maybe I need a video.

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What's the loose conversion likelihood based on like what we know of this

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keyword

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and what people are looking for and what you do as a company?

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So that you can be very aligned with the search that someone's performing.

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And then we can get into competitive gap analysis.

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So understanding, hey, like what have you covered that others have covered

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or what others covered that you haven't covered?

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And so you can see a lot of this is blue and covered because our AI took a best

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guess

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at trying to cover everything.

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But it kind of fell short and some places and saying like, hey, there's

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something that inside sales.com

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talked about that you didn't talk about.

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Do you want to fill in this gap?

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So you can essentially close that gap between your competitors and you from an

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information standpoint.

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We can also help you go above and beyond and add net new information.

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So you can say like, hey, why am I writing this article?

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It'll give you a whole bunch of ideas and how you can answer questions that

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nobody else is talking about.

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And lots of other stuff in here like answering featured snippets.

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People also ask the usual keyword coverage stuff.

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This is kind of like old school SEO.

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We have it, but I think SEO is really evolving with AI.

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And so we're really helping companies think about the future of this.

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And then lots of other basic stuff that people need to figure out like internal

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linking, which pages on your website should link to each other.

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We'll insert those in for you.

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Or if you wanted to look across your website and give me one second.

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If you want to look across your website for content, if I want to find every

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instance of SEO across my website,

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I can do that and I can also go hyperlink it to a product page or another blog

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post.

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So essentially a lot of stuff that an SEO agency would do for you.

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Letter drop essentially compresses it.

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As long as you have a good marketer like using Letter drop, you could honestly

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get away without having an agency for all of the technical expertise.

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It abstracts it away for you.

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So that was the creation side of things.

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The last part of Letter drop that I want to talk about is actual distribution.

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So we'll publish this all this directly to your site.

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So from here, I can publish this directly to our website.

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I can select all of our metadata and we connect with Webflow, HubSpot, WordPra

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ze, Contentful, whatever you use.

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We'll take care of it.

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What's more is we'll also help you figure out how do you redistribute this

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content.

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So beyond your website and SEO, we're also trying to figure out how do you take

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these great ideas and actually turn them into things that you can use on other

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channels.

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For B2B, LinkedIn is that big channel.

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So you can connect your entire teams, LinkedIn account to Letter drop.

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So you can see I have my entire go to market team connected over here.

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And I can essentially write on their behalf.

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I can say generate LinkedIn post and I can essentially drop in either an

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existing blog post.

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Some loose ramblings or thoughts.

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And select from one of the templates that I've created.

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And Letter drop will essentially take your thoughts, take your template and

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mush them together into something that you can actually put out.

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So you get human sounding content that actually has good ideas because it's

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actually coming from a good source.

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But the AI essentially just formats it for you and puts in the right template.

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And if you put in quotes and stuff like that, it will actually pull those for

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you.

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So that's creation.

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But how do you actually get this LinkedIn post scene?

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So that's where Letter drop comes in and helps you actually enable your team.

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So not only should you be posting from your entire sales teams account.

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And I think if you're running an ABM play like some of our customers, you

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actually do want your execs.

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You do want your SDRs.

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You do want your AEs showing up as spot leaders.

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And so this lets your marketing team kind of fill in that gap for them without

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them having to waste time.

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So they can stay on their calls and you can write for them.

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But moreover, you can actually get them to comment with or without their

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permission.

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You can get them to like.

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So I can say, hey, I want my sales and marketing team to like this post

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automatically.

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That'll happen once again with or without their permission.

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Depends on completely on how comfortable your company is.

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And then we'll schedule this out for you.

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And so now you get this content to be seen not only by whoever Paul has in his

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audience,

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but also by people in Zach's audience as well.

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And so this essentially helps you extend the reach of your LinkedIn content.

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We can do this immediately after the post goes out or we can also like kind

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delay it so that if you want LinkedIn,

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the LinkedIn algorithm to do its thing and get in front of the right people.

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And then you're just like, okay, cool.

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It did its thing.

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Now I want my sales team to come in and further boost it.

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You can do that.

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You can also do this with partner posts.

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So Emily Kramer, for example, if she has a great post and I want to get her

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attention,

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I'm prospecting into her or I want to boost a part nervous talking positively

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about us. I can just cop your LinkedIn post into letter drop and I can just boost it.

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And so what this does is a it helps Emily out, but also I can sort of

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essentially get my team to essentially boost

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or draw attention to any LinkedIn post out there, whether that be a partner, a

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customer or somebody you're prospecting into.

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The last way in which letter drop helps you get content back to your buyers is

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through our gong integration

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or any sales call integration.

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And so when we remember how we listened to those calls in the first place and

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we got all of those insights

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over here, the sales calls insights that I showed you over here, well, we do

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the inverse as well,

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where when we take all of these insights or when we hear an objection, we'll

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also actually tell your rep,

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hey, we heard an objection on this call.

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Here's all the content that we have and we think you should share this case

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study, share this guide with this person

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to progress the conversation further and close the sales cycle faster.

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All this comes back and influences the numbers I showed you earlier.

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So this is going to come back and help you with your content accelerated

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pipeline.

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And so this is this virtuous cycle that we're creating where we help you

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identify the right stuff, create it,

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distribute it and collect that data again so that you can move these numbers

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and then iterate on your marketing campaigns.

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And so that's a quick overview of letter drop. I think what we're really trying

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to figure out is how does, like,

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workflow automation plus AI plus data work together seamlessly so that you can

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actually build this organic flywheel

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for your business and reduce your reliance on paid and outbound.

21:06

Yeah, this is incredible. There's a few particular things that I think my eyes

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kind of lit up at as a marketer.

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First, these here, your source pipeline accelerated pipeline and influenced

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revenue.

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I love that just right here at the very beginning, I can see different types of

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content because I feel like not all content

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is going to do the same thing for your business. You're not going to create the

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same type of content to source pipeline

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as you already accelerate deals through those are going to be vastly different

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types of content.

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So I love that you've built into letter drop those different metrics.

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So I can go look at the content. I like you use the word defend. I can go look

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at what content is performing for these key metrics.

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Defend the time that we spent doing them and then double down on that content.

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I think as teams, we spend a lot of time, I know internally thinking about we

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've had a lot of content. How do we repurpose it?

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And we think a lot of marketers use that term of repurpose and I can see here

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where letter drop and these metrics help you actually repurpose the content

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that is benefiting your business most. It's not just me guessing at what

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content is worth repurposing.

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You're telling me through metric driven insights like this is the content that

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you want to spend time with.

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And these are the ones I should actually invest my resources into repurposing

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and cutting down and making, you know, all these different posts for.

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So I loved this and your LinkedIn integration. I know our execs are asking all

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the time like, how can we post more our sales team

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wants to post on LinkedIn? But they're not writers. Like they say it. They're

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like, we don't have the bit like we think there's really great content.

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We don't know how to post about it or what to write. And alternatively,

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marketing teams are getting smaller.

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We're like, we don't have the time necessarily to write all of these posts for

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you.

22:48

But we want our people out there in those channels promoting the content we've

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written.

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So I love that functionality, the ability to link to our go to market teams,

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the LinkedIn's and help them post more because they're asking that from us

23:02

as a marketing team right now, we just don't always have the resources to do it

23:05

. So this was an awesome demo. Thank you so much for taking us through this. I

23:10

think it's fantastic.

23:11

Absolutely. Thanks for having me, Sarah. Yeah. So I'd love to jump into before

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we wrap up our Q&A section.

23:18

So my first question for you is how long have you been building AI into letter

23:22

drop?

23:23

Yeah. So letter drops started probably a little before I'd say like AI kind of

23:29

went mainstream.

23:31

So when we initially started letter drop, I think it was just cheap G3 and it's

23:37

like infancy.

23:38

I was out there and we were really not thinking about how AI fits in.

23:42

I think as soon as cheap G3.5 came out, you started looking at these use cases

23:49

and you were like,

23:50

Hey, this is actually starting to have more interesting. So it's probably been

23:54

a little over a year that we've been actually incorporating in incorporating AI

23:58

into letter drop.

23:58

So it's not quite a native, but almost there.

24:01

I think that's interesting for a couple of reasons because a lot of our product

24:07

has been built.

24:08

Not necessarily from the perspective that it is an AI first company, which I

24:14

think is a little bit.

24:16

It's hard because then you're almost trying to use the technology.

24:20

You're going technology first and thinking about the problem second, which is

24:23

not a great place to be.

24:25

But at the same time, we're not like old enough that we're stodgy and haven't

24:30

adopted to AI.

24:31

So a lot of our software was built in conjunction with whatever was possible

24:36

with AI in the moment.

24:37

And I think that's changing every couple of months.

24:39

A new model comes out the front here of what is possible changes.

24:44

And so we're constantly thinking about that as well.

24:47

I think this is just kind of like the new web or the new mobile where you're

24:51

still thinking about solving people's problems.

24:54

You're just using different technology in there.

24:57

We no longer say, Hey, that's a web company or that's a mobile company.

25:00

We just say, Hey, it's a software company, which happens to use the web or

25:04

mobile.

25:05

And I think that's the same thing with AI.

25:07

Totally. Okay. Next question is, is what you showed today, is this all

25:12

available for customers right now?

25:14

Yeah, absolutely. Live demo. So everything you saw today is available to

25:20

customers right now.

25:21

We have a lot of our existing customers using a bunch of this functionality.

25:26

Perfect. And I know in the beginning, you kind of talked about some customers,

25:29

but I'd love to give them some shout outs again.

25:30

Who were some customers that are currently using letter drop and benefiting

25:35

from your technology?

25:36

Yeah, absolutely. I think the customer I'm most excited about is definitely sc

25:42

ribe because it's kind of an underdog story where we've seen like the largest

25:46

win with them.

25:47

But we also work with like a lot of like more recognizable, larger logos like

25:52

gorgeous RAM, Syn-Acty spirit, et cetera.

25:55

But I think letter drop is a really good fit for companies, which are kind of

25:59

on that growth phase where they're really trying to figure out how do we think

26:03

about efficient growth.

26:04

Given small teams, given like market conditions and all that.

26:10

And I think letter drop really works when all this comes together.

26:13

I'd say we're working with a lot of our customers to try to help them see the

26:17

big picture.

26:18

Different customers use letter drop differently based on whether or not they

26:22

run an APM program, in which case they're very focused on sales enablement and

26:27

LinkedIn.

26:28

Other companies are really focused on SEO and maybe have a PLG motion or have a

26:33

sales led notion, which lends itself to SEO.

26:36

And so they focus a lot on that.

26:38

So it really comes down to what your priorities are and we help companies use

26:43

the right tool set within letter drop.

26:46

Perfect. My next question is, what is next on your AI roadmap?

26:53

I think the next thing for us is I showed you a whole bunch of stuff in letter

26:58

drop and how we're trying to create this sort of virtuous flywheel between

27:04

identification of resources to create creation, distribution, going back.

27:10

And there's a human in the loop at all of these stages.

27:13

Our goal is to essentially figure out how do we reduce the amount of time

27:17

people are spending in that loop.

27:19

And so if letter drop identifies an opportunity for you to defend, can it just

27:24

essentially say, hey, Sarah, like, can you confirm that I can go ahead and put

27:29

this out on LinkedIn across your entire team's profiles this week and run an

27:35

automated campaign for this new feature that qualified has.

27:39

I already know what all of your team sounds like. You've uploaded templates, et

27:42

cetera. It just goes and does that for you.

27:45

So that's, I think, our goal is trying to figure out how do we essentially

27:49

connect the dots better between these different tools and letter drop and

27:53

essentially make them more autonomous.

27:56

I think the other thing we're trying to use AI for is trying to actually help

28:01

identify or understand your content and how it maps to the buyer journey better

28:06

So can we segment all of your content by stage of funnel persona feature

28:11

exactly what every asset's for and what its purpose is?

28:16

Can we look at every buyer journey and understand what is the next asset that I

28:21

need to show them?

28:23

Right. So now you can actually give that to your sales team and for sales

28:29

enablement.

28:30

If they're in cycle and they want to have a conversation, you can start running

28:35

campaigns, retargeting campaigns with the right asset for those companies.

28:40

You can start running more organic campaigns or put those in your newsletter.

28:45

So that's sort of like a next step of letter drop is trying to figure out how

28:50

do we actually like tie the customer to the actual right piece of content at

28:55

any piece of time.

28:56

Perfect. Well, that is it for today. Part these. Thank you so much for joining

29:01

us on the show. This is an incredible demo. I really appreciate you joining us

29:04

today.

29:05

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