Startups

Lavender lands $13.2M for its AI-powered email marketing engine

Comment

Picture of an envelope with an email notification exclamation point, used in a post about marketing startup SellScale
Image Credits: Jasmin Merdan (opens in a new window) / Getty Images

Years ago, Will Allred and William Ballance were developing a tech platform, Sorter, to apply personality and communication psychology to marketing campaigns. Just as Sorter was heading to market, the pandemic hit — and marketing budgets froze. With a week of funding left, Allred and Ballance pivoted, repackaging their tech to work in Gmail in what they thought would be a brief detour to Sorter’s launch.

But users liked the repackaged product — and so did investors. So Sorter became Lavender, an AI-powered sales email coaching platform.

Lavender integrates with email providers to serve up context on a sales prospect and suggest ways to optimize the message to get a reply. Showing that there’s money in the idea, the company today announced that it raised $13.2 million across a Series A round led Norwest Venture Partners with participation from Signia Venture Partners and a seed round led by Signia with contributions from CapitalX, Position Ventures and various angel investors.

“By combining deep learning on email data with communication and behavioral psychology, Lavender’s AI writing assistant identifies and implements ways to increase reply rates,” Ballance told TechCrunch in an email interview. “In today’s climate, teams have to do more with less. While sales team sizes shrink due to layoffs, teams use Lavender to make each rep more effective and efficient.”

Lavender’s product is made up of three different components: a sales email coach, a “personalization assistant” and an email intelligence and coaching portal. The email tools provide research material (e.g. news and updates, funding stats, job listings, events, tweets and more) on recipients and can automatically create drafts from that research (à la ChatGPT), or simply generate a few bullet points to work within a preexisting email thread. As an email’s written, Lavender scores it in real time, suggesting improvements in specific areas.

Lavender
Lavender’s analytics dashboard shows high-level details about emails, including inbound rates and potential areas of concern. Image Credits: Lavender

“Writing a ‘better email’ is a four-step process — research, create, edit and learn — and our product helps across all four,” Ballance said. “Instead of automating, we help users write effective personalized emails faster. The AI works alongside them, but doesn’t replace them.”

Lavender’s aforementioned learning portal, meanwhile, aggregates and analyzes email activity, highlighting areas in need of improvement. Managers using Lavender can see which email templates are working versus which aren’t for instance, as well as metrics like individual email scores, open rates, reply rates and writing time.

Lavender also detects “at-risk” reps that may need additional support or coaching to meet certain goals. That’s not a feature likely to thrill every rep, particularly those who value their own processes and privacy. But Ballance makes the case that it’s a net good where an organization’s sales are at stake.

“Sales teams have become too focused on optimizing for efficiency and automation. This forced optimization has left buyers with a bad impression of sellers, because they feel as if they’re just a number,” he said. “Sales needs to go back to building real relationships — not automation and spam. Lavender makes real personalized emails faster for our users.”

While Lavender isn’t the only firm applying automation to the marketing and sales outreach segment, it’s certainly benefiting from the general boom time. According to a 2022 report from Ascend2 and Research Partners, 69% of marketers say that their overall customer journey is partially or mostly automated while 9% say that theirs is fully automated. The same report found that nearly a third — 31% — of marketing professionals planned to purchase a marketing automation solution in the next 12 months.

Lavender’s rivals include Sellscale, which similarly uses generative AI to write marketing emails, and marketing automation startup Klaviyo, which received a large investment from Shopify last August. (Ballance sees Jasper and Regie as competitors, too; both leverage text-generating AI for marketing copy drafting.) Lavender has a respectable customer base, though, totaling around 11,000 sellers at organizations including Twilio, Segment, Sendoso, Sharebite and Clari.

“We built for nearly two more years before raising venture capital,” Ballance said, declining to answer a question about recurring revenue. “Lavender is well-capitalized to continue building in the current market.

Lavender’s team recently grew to 16 employees, up from six in Q4 2022. Ballance says that the startup — which has raised $14.2 million in total to date — will continue to expand and fill “key roles” throughout the rest of the year.

More TechCrunch

Looking Glass makes trippy-looking mixed-reality screens that make things look 3D without the need of special glasses. Today, it launches a pair of new displays, including a 16-inch mode that…

Looking Glass launches new 3D displays

Replacing Sutskever is Jakub Pachocki, OpenAI’s director of research.

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals