Recotap ABM Platform

The startup offers an AI-driven marketing platform that integrates account-based marketing (ABM) technology, enabling B2B sales and marketing teams to target qualified accounts and accelerate deal conversion through data science and machine learning. By providing effective personalization, the platform enhances customer service experiences and improves the efficiency of marketing efforts.

Traction 6/10

Middletown, New Jersey, United States · HQ

Founded 2018271K+ followers

Advertising Technology
Artificial Intelligence
Data & Analytics
Enterprise Software
Software Only

Updated yesterday

Funding

Raised to date

$150KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Arun Gopalaswami

CEO / Co-Founder

Bhavin Shah

Head of Engineering

Product

Problem

B2B sales and marketing teams struggle to efficiently target high-value accounts and personalize engagement on LinkedIn, leading to wasted ad spend and missed opportunities. Traditional methods often rely on broad targeting and generic messaging, failing to resonate with specific account needs and buying signals.

Solution

Recotap provides an AI-powered account-based marketing (ABM) platform designed to streamline and optimize LinkedIn campaigns for B2B organizations. The platform integrates first-party, third-party, and intent data to identify and prioritize target accounts based on real-time engagement and buying signals. By automating personalized ad creation and delivery, Recotap enables marketers to engage accounts with tailored messaging and landing page experiences, driving higher conversion rates and accelerating pipeline. AI-driven insights provide a 360-degree view of account activity, enabling data-backed decisions and continuous campaign optimization.

Target Audience

The primary target audience includes B2B marketing managers, CMOs, sales leaders, and SDRs within SaaS and software companies seeking to improve LinkedIn ABM campaign performance and drive revenue growth.

Features

**ABM Signal Hub:** Ingests and analyzes first-party (CRM, MAP, website visitor data), third-party, and intent data (Bombora, G2, TrustRadius) to identify high-intent accounts.
**Smart Segments:** Dynamically segments target accounts based on behavior, intent signals, and ideal customer profile (ICP) fit for precision targeting.
**Automated ABM Campaigns:** Automates LinkedIn ABM campaigns, turning campaigns on/off based on account activity and engagement.
**Ad Personalization:** Creates hyper-personalized LinkedIn ads with intent-driven messaging and a rich template library, eliminating design bottlenecks.
**Web Personalization:** Delivers tailored landing page experiences based on visitor intent, industry, and stage, without requiring coding.
**AI-Powered Insights:** Provides account scoring, analytics dashboards, and revenue attribution to optimize budget and refine targeting.
**Campaign Orchestration:** Automates the process of turning campaigns on or off based on real-time account signals.
**Dynamic Content:** Swaps out messaging, visuals, and calls-to-action (CTAs) in real-time for maximum impact on landing pages.