Startups

Your B2B leads are going to waste

Comment

rotten green apple on white background
Image Credits: banusevim (opens in a new window) / Getty Images

Jonathan Martinez

Contributor

Jonathan Martinez is a former YouTuber, UC Berkeley alum and growth marketing nerd who’s helped scale Uber, Postmates, Chime and various startups.

More posts from Jonathan Martinez

Right now there are possibly thousands upon thousands of leads sitting in your customer relationship management (CRM) tool and collecting dust.

This is the reality for many business-to-business (B2B) startups as they focus on the next set of shiny leads that come through the pipeline.

Your B2B leads will go to waste unless you begin to create lapsed buckets and develop a strategy to attack them head-on. At my own startup, we leave no stone unturned and make sure that each lead that comes through the pipeline, even if it arrived 300 days prior, is still being contacted.

It’s possible to accomplish this goal, even with limited resources, by having automations and a complete strategy in place.

Start by creating your lead segments

With thousands of leads in a CRM, it can be overwhelming to even know where to start. Say hello to your lead segments. The most common ways to segment leads are by their recency and by how long they’ve been in your CRM. More on that in a moment.

First, here are a few other methods of bucketing to spark your ideation:

Example buckets for lapsed leads. Image Credits: Jonathan Martinez

This illustration shows the use of ICPs and recency to create the bucketed segments. There are three ICPs with four recency buckets representing when the leads came in throughout the period of an entire year.

There isn’t one correct way to bucket leads, but it’s crucial to create these so that it makes reaching out more efficient.

At my own startup, we have a sales admin who works on assigning leads and monitoring the performance of every agent. If a particular agent isn’t hitting their touchpoints for the leads assigned to them, our sales admin is the first to alert them so they can get back on track. Having someone looking over the touchpoints to these leads will help to minimize future gaps.

Typically, when it comes to recency, the latest leads that came in will have the highest propensity to convert. This is why it’s fruitful to segment by the date leads came in so that different messaging, sales individuals and tactics can ultimately be used.

Assign lapsed leads to every sales rep on your team

After building more than 500 sales teams for startups via my own staffing business, I’ve witnessed firsthand nearly every sales structure and system known to man. When you have your buckets, the fun starts in assigning them to individual sales members on your team.

Every sales rep on your team should take on a specific portion of lapsed leads (i.e., ICP #1, 1–3 months). Imagine running a factory where every worker on the line had various tasks, from building to packaging to QA. It wouldn’t be the most efficient factory. It is the same case for a sales team handling various leads from all over the place.

Example lead distribution between four sales reps. Image Credits: Jonathan Martinez

In the setup above, each sales rep takes care of one product (or ICP) with a handful of recency buckets. The caveat is with the last sales rep taking care of the last recency bucket, which is generally the most challenging to convert.

Your strongest sales reps should be handling the warmest and most recent leads, as they have the highest probability to close and bring you that essential startup revenue. Beyond that, I would also ensure that you have touchpoint goals for each lead that’s in your CRM (i.e., two touchpoints per week).

If you’re running founder-led sales and don’t have a sales team to assign lapsed leads to, I’d highly recommend getting a sales assistant and having your automations buttoned up. A sales assistant should help with tasks such as setting appointments with your lapsed leads, rescheduling as needed and even sending follow-ups after the sales calls.

While it is not impossible to tackle all the lapsed leads as a founder running sales, it’s imperative to run tools that automate follow-ups to save precious time.

To close deals, sales and marketing must work in harmony

For optimal efficiency, it’s important to have sales and marketing working together to tackle the lapsed leads through a combination of mediums. I’ve seen too many startups with lead coverage that have gaps because the teams or buckets weren’t delineated from the start.

After determining which buckets each sales rep will take on, you can start to strategize how marketing will help support these efforts.

I’m not a fan of using leads, MQLs (marketing qualified leads) or SQLs (sales qualified leads) to determine when marketing or sales should jump in to take over. Instead, both sales and marketing teams should always be touching the leads. This is not to say that one team should be focused more on one bucket versus the other.

Here is an example of how these teams can work in harmony to support each other in closing deals:

Example work distribution between sales and marketing. Image Credits: Jonathan Martinez

Without going into detail on each of the tasks each department should do, I’ve created a distribution of work based on the lead stage.

Initially, marketing should be heavily involved in getting required info necessary to filter leads into MQLs — whether through site questions or later via emails. Generally a sales team doesn’t get involved yet at the lead stage, but I’m an advocate for having them try to qualify as well through emails and calls.

Once we’re at the MQL stage, the efforts on getting these prospects to a demo should be split evenly between divisions. Marketing should be firing off automated emails and texts while the sales team actively reaches out. There should be multiple touchpoints happening to get prospects to demos in the SQL stage.

Once a prospect has gotten to the SQL stage, most of the efforts should land on the sales team side but still get support from marketing. Why take the gas off the pedal on sending automated testimonial emails and other validity enhancing material that’ll help the sales team close?

Is your marketing team creating value via automation?

A vital component to making sure that no lead goes unturned (see what I did there?) is having automations in place. It’s virtually impossible to have hundreds or thousands of leads in a CRM and send emails manually each week to all of them.

Ensure that you have email sequences that cover all of your ICPs and leads. In addition, there are tools such as Clay or Warmly that can make your outreach even more personalized based on prospect information. Your startup should constantly be evaluating tools that can help with making outreach more efficient and personal.

An additional component that’s equally important is that the marketing team is constantly providing value through these automations. The emails, text messages and material sent should not solely be sales pitches and material. For example, if you’re a revenue analytics tool provider, sending over the following topics can be valuable to prospects:

  • Price comparisons between competitors.
  • Different ways to use analytics tools.
  • Which metrics to analyze to improve revenue.
  • Testimonials from startups in the same industry.

These are purely examples to help get the brain juices flowing on how your startup can provide prospects with immense value. Think of the last time you got an email from a product you were interested in — if they didn’t provide value and were just giving pricing information, that email most likely got deleted.

As you think about how to increase your startup’s revenue, remember that it may just be sitting in your database untouched.

More TechCrunch

eBay’s newest AI feature allows sellers to replace image backgrounds with AI-generated backdrops. The tool is now available for iOS users in the U.S., U.K., and Germany. It’ll gradually roll…

eBay debuts AI-powered background tool to enhance product images

If you’re anything like me, you’ve tried every to-do list app and productivity system, only to find yourself giving up sooner than later because sooner than later, managing your productivity…

Hoop uses AI to automatically manage your to-do list

Asana is using its work graph to train LLMs with the goal of creating AI assistants that work alongside human employees in company workflows.

Asana introduces ‘AI teammates’ designed to work alongside human employees

Taloflow, an early stage startup changing the way companies evaluate and select software, has raised $1.3M in a seed round.

Taloflow puts AI to work on software vendor selection to reduce cost and save time

The startup is hoping its durable filters can make metals refining and battery recycling more efficient, too.

SiTration uses silicon wafers to reclaim critical minerals from mining waste

Spun out of Bosch, Dive wants to change how manufacturers use computer simulations by both using modern mathematical approaches and cloud computing.

Dive goes cloud-native for its computational fluid dynamics simulation service

After growing 500% year-over-year in the past year, Understory is now launching a product focused on the renewable energy sector.

Insurance provider Understory gets into renewable energy following $15M Series A

Ashkenazi will start her new role at Google’s parent company on July 31, after 23 years at Eli Lilly.

Alphabet’s brings on Eli Lilly’s Anat Ashkenazi as CFO

Tobiko aims to reimagine how teams work with data by offering a dbt-compatible data transformation platform.

With $21.8M in funding, Tobiko aims to build a modern data platform

In 1816, French physician René Laennec invented an instrument that allowed doctors to listen to human hearts and lungs. That device — a stethoscope — eventually evolved from a simple…

Eko Health scores $41M to detect heart and lung disease earlier and more accurately

The number of satellites on low Earth orbit is poised to explode over the coming years as more mega-constellations come online, and it will create new opportunities for bad actors…

DARPA and Slingshot build system to detect ‘wolf in sheep’s clothing’ adversary satellites

SAP sees WalkMe’s focus on automating contextual, in-app support as bringing value to its own enterprise customers.

SAP to acquire digital adoption platform WalkMe for $1.5B

The National Democratic Alliance (NDA) has emerged victorious in India’s 2024 general election, but with a smaller majority compared to 2019. According to post-election analysis by Goldman Sachs, JP Morgan,…

Modi-led coalition’s election win signals policy continuity in India – but also spending cuts

Featured Article

A comprehensive list of 2024 tech layoffs

The tech layoff wave is still going strong in 2024. Following significant workforce reductions in 2022 and 2023, this year has already seen 60,000 job cuts across 254 companies, according to independent layoffs tracker Layoffs.fyi. Companies like Tesla, Amazon, Google, TikTok, Snap and Microsoft have conducted sizable layoffs in the…

17 hours ago
A comprehensive list of 2024 tech layoffs

Featured Article

What to expect from WWDC 2024: iOS 18, macOS 15 and so much AI

Apple is hoping to make WWDC 2024 memorable as it finally spells out its generative AI plans.

18 hours ago
What to expect from WWDC 2024: iOS 18, macOS 15 and so much AI

We just announced the breakout session winners last week. Now meet the roundtable sessions that really “rounded” out the competition for this year’s Disrupt 2024 audience choice program. With five…

The votes are in: Meet the Disrupt 2024 audience choice roundtable winners

The malicious attack appears to have involved malware transmitted through TikTok’s DMs.

TikTok acknowledges exploit targeting high-profile accounts

It’s unusual for three major AI providers to all be down at the same time, which could signal a broader infrastructure issues or internet-scale problem.

AI apocalypse? ChatGPT, Claude and Perplexity all went down at the same time

Welcome to TechCrunch Fintech! This week, we’re looking at LoanSnap’s woes, Nubank’s and Monzo’s positive milestones, a plethora of fintech fundraises and more! To get a roundup of TechCrunch’s biggest…

A look at LoanSnap’s troubles and which neobanks are having a moment

Databricks, the analytics and AI giant, has acquired data management company Tabular for an undisclosed sum. (CNBC reports that Databricks paid over $1 billion.) According to Tabular co-founder Ryan Blue,…

Databricks acquires Tabular to build a common data lakehouse standard

ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm. What started as a tool to hyper-charge productivity through writing essays and code with short text prompts has evolved…

ChatGPT: Everything you need to know about the AI-powered chatbot

The next few weeks could be pivotal for Worldcoin, the controversial eyeball-scanning crypto venture co-founded by OpenAI’s Sam Altman, whose operations remain almost entirely shuttered in the European Union following…

Worldcoin faces pivotal EU privacy decision within weeks

OpenAI’s chatbot ChatGPT has been down for several users across the globe for the last few hours.

OpenAI fixes the issue that caused ChatGPT outage for several hours

True Fit, the AI-powered size-and-fit personalization tool, has offered its size recommendation solution to thousands of retailers for nearly 20 years. Now, the company is venturing into the generative AI…

True Fit leverages generative AI to help online shoppers find clothes that fit

Audio streaming service TuneIn is teaming up with Discord to bring free live radio to the platform. This is TuneIn’s first collaboration with a social platform and one that is…

Discord and TuneIn partner to bring live radio to the social platform

The early victors in the AI gold rush are selling the picks and shovels needed to develop and apply artificial intelligence. Just take a look at data-labeling startup Scale AI…

Scale AI founder Alexandr Wang is coming to Disrupt 2024

Try to imagine the number of parts that go into making a rocket engine. Now imagine requesting and comparing quotes for each of those parts, getting approvals to purchase the…

Engineer brothers found Forge to modernize hardware procurement

Raspberry Pi has released a $70 AI extension kit with a neural network inference accelerator that can be used for local inferencing, for the Raspberry Pi 5.

Raspberry Pi partners with Hailo for its AI extension kit

When Stacklet’s founders, Travis Stanfield and Kapil Thangavelu, came out of Capital One in 2020 to launch their startup, most companies weren’t all that concerned with constraining cloud costs. But…

Stacklet sees demand grow as companies take cloud cost control more seriously

Fivetran’s Managed Data Lake Service aims to remove the repetitive work of managing data lakes.

Fivetran launches a managed data lake service