IN SUMMARY OVER THE FIRST 6 MONTHS WE HAVE:

• Build an outbound motion that generated a $2.6M pipeline from the LinkedIn channel only.
• Added specific ABM Clay Plays, that helped driving the pipeline even more

THE RESULTS ACHIEVED – IN 6 MONTHS:

+$2.6M Pipeline

+27.1% Connection Requests Accepted

+23.8% Reply Rate

WHO IS Colleva?

AI avatar-led sales coaching, professional skill development, and employee insights at scale

• Colleva offers practical, personalized 1:1 experiences with advanced AI Avatars.

• Built by 2 previous senior executives in high performance environments like investment banking, Colleva’s core mission is to provide cutting-edge AI-native and enterprise-native solutions that empower professionals to excel in high stakes interactions.

THE CONTEXT & BUSINESS BLOCKERS

Seeking creative, efficient Go-To-Market solutions and a partner capable of bringing “out of the box” ideas to life beyond mere results, Colleva's co-founder Michael discovered TAM’s services in November and selected the team as the right choice in January.

• Lack of Product Market Fit: As many Startup in the space, identifying its niche together with the right message to convert them had been a challenge
• ‍Lack of GTM Tech know how: There was a lack of vertical Go To Market Know How. This made any implementation very time expensive, and not efficient.
• ‍Lack of Pipeline Development: A previous agency tried to generate outbound results for Colleva, failing. Without a proper system in place, pipeline was stalling.

THE SOLUTION: A FULLY-ENGINEERED BUSINESS DEVELOPMENT SYSTEM

Before starting the project together, the main goals to achieve were very clear to the Founder Michael:

• Find Product-Market Fit, running micro-experiments on ICP and message-market fit before scaling.
• Proper full pipeline development & measurement. From list building/lead gen, down to hooking up tooling, and to full pipeline conversion metrics.
• Better nurturing once contact’s established, together with good hygiene around managing responses.

How did we proceed?

1. We applied the proven and performing 5 step TAM Process

• TAM Analysis: In-depth analysis of the Total Addressable Market (TAM), Ideal Customer Profile (ICP), and channels.
• Highly Qualified Database Creation: Building segmented and highly qualified lead lists using Clay and AI Agents.
• The Atlas Infrastructure: Creating the necessary email and tech infrastructure to ensure high deliverability and avoid spam.
• The Aries Funnel: Identifying the funnel and messaging that generates the highest response rates.
• Scaling the Machine: Automating the entire system to scale results by connecting all components and reverse-engineering success.

How does the TAM process work?

1. TAM Analysis

We analyzed Colleva's ICP, market, previous successes, and goals to craft a detailed action plan for an initial three-month phase, followed by a second phase.

2. Highly-Targeted Database Creation

We tested and launched different LinkedIn campaigns, quickly iterating on the variants that delivered the highest success.

We launched 4 successful ABM Campaigns:

1. Website Visitors -> Disclosure, Qualification, and Re-engagement of Website Visitors
2. Retargeting Competitors -> Identification, Qualification, and Re-engagement of people that engaged with Colleva's competitors
3. Lookalike -> Identification, Qualification, and Engagement of companies similar to Colleva's clients, ex-clients, and ideal target‍
4. Scraped Companies hiring for specific Jobs -> Identification, Qualification, and Engagement with decision-makers working at companies that are hiring for specific jobs
5. Scraped companies using specific technologies

3. The Atlas Infrastructure

To maximize LinkedIn deliverability and avoid being banned, we attentively took care of sending amount of connection requests and messages across multiple senders.

4. The Aries Funnel

The testing phase was critical. We systematically tested key elements of the GTM motion:

• Different campaign concepts
• Multiple angles and value propositions for each campaign
• Various decision-maker targets

Once these were optimized, we focused on refining the built-in operational procedures.

5. Scaling the Machine

Once replied started to arrive, we increased sending capacity and went at full power. Results followed.

THE RESULTS ACHIEVED – IN 6 MONTHS:

+$2.6M Pipeline

+27.1% Connection Requests Accepted

+23.8% Reply Rate