AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of IgniteTech Infer Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Booker Professional Services 320 $90M United States IgniteTech IgniteTech Infer Account Based Marketing 2016 n/a
In 2016, Booker implemented IgniteTech Infer to address a lack of ability to determine which leads were most likely to convert and to prioritize lead handling. IgniteTech Infer was deployed as an Account Based Marketing application to introduce predictive scoring and data-driven lead prioritization into Booker’s demand processes. The implementation emphasized predictive lead scoring models, account and lead segmentation, and automated prioritization workflows that fed sale and marketing workstreams. Configuration work centered on score calibration and rules-based routing so that high-propensity leads and accounts could be surfaced to sales and nurtured by marketing, reflecting standard Account Based Marketing functional patterns. Operational scope focused on Booker’s sales and marketing teams, with process changes to qualification criteria and lead handoff governance to align both functions around score-based prioritization. Booker used IgniteTech Infer to operationalize a data-driven approach to better manage their sales and marketing teams and to improve how leads were prioritized.
DNN Corporation Professional Services 10 $1M United States IgniteTech IgniteTech Infer Account Based Marketing 2019 n/a
In 2019, DNN Corporation implemented IgniteTech Infer in an Account Based Marketing deployment focused on predictive scoring and account intelligence. The decision emphasized Infer's open architecture and the vendor team’s data science expertise, and the platform was brought online as an intelligence layer across the company’s sales and marketing technology ecosystem within a week. IgniteTech Infer was configured to provide predictive lead and account scoring, serving as an embedded intelligence layer that enriched marketing automation and CRM records and informed attribution workflows. Configuration work concentrated on mapping Infer propensity scores into lead qualification rules and campaign segmentation inside the marketing stack, aligning predictive outputs with sales qualification thresholds and routing logic. The implementation integrated IgniteTech Infer with DNN Evoq CMS, Marketo marketing automation, Salesforce CRM and Bizible for multi channel lead attribution, enabling score propagation between the website, nurture programs and the CRM. Integration design emphasized continuous data flow between the CMS and marketing systems so that Infer scores could be applied in real time to web leads, nurture streams and attribution models. Governance centered on using Infer as a centralized intelligence source for sales and marketing, with model stewardship and scoring updates driven by the vendor data science team and operationalized by DNN’s small sales and marketing organization. Rollout prioritized rapid activation of scoring driven qualification and attribution processes, embedding IgniteTech Infer outputs into lead routing and campaign decisioning across the business functions of marketing and sales.
Social Tables Professional Services 120 $40M United States IgniteTech IgniteTech Infer Account Based Marketing 2018 n/a
In 2018, Social Tables implemented IgniteTech Infer to establish a next generation predictive strategy within their Account Based Marketing practice. The deployment focused on predictive scoring and profile management capabilities to improve prospect qualification and identify ideal customer profiles for targeted outreach. The implementation configured IgniteTech Infer scoring models and profile management workflows to classify inbound leads and prioritize outreach. Scoring logic was tuned to support segmentation of prospects and to surface high propensity buyers, enabling marketing to generate ranked lead lists for sales engagement. IgniteTech Infer was used to operationalize predictive scoring and to maintain centrally managed buyer profiles. Operational scope spanned marketing and sales functions, concentrating on inbound lead flow and buyer prioritization rather than wider enterprise systems. The project embedded predictive scoring into lead qualification processes, aligning outreach sequencing and prioritization rules with identified ideal customer profiles. Governance included establishing scoring thresholds and handoff criteria between marketing and sales, and phased rollout of prioritized lead handling to ensure adoption. As a result, Social Tables gained the ability to quickly prioritize inbound lead flow and ensure high value outreach to their best buyers through IgniteTech Infer.
Zendesk Professional Services 6000 $2.6B United States IgniteTech IgniteTech Infer Account Based Marketing 2016 n/a
In 2016, Zendesk deployed IgniteTech Infer to support Account Based Marketing and predictive account prioritization across its revenue organization. The implementation positioned IgniteTech Infer as a predictive intelligence layer that scored and ranked inbound and named accounts to align sales and marketing execution. The deployment centered on Infer’s lead scoring model, operationalized as a persistent predictive score used for opportunity qualification. Configuration emphasized score cadence, thresholding for sales follow up, and model inputs drawn from firmographic and behavioral signals consistent with account based marketing practices. IgniteTech Infer provided continuous scoring and model refreshes to keep prioritization current. Operationally the system was adopted by marketing, sales, and global sales operations, with executive sponsorship from the CMO, the VP of Sales, and the Head of Global Sales Operations. The predictive scores were fed into sales workflows and ABM campaign prioritization to drive which accounts received outbound and inbound investment. The scope focused on qualifying pipeline and surfacing high propensity accounts for revenue teams. Governance was anchored by the cited executive stakeholders who used model outputs to standardize qualification and prioritization processes. According to Zendesk, IgniteTech Infer’s lead scoring model identified 95% of Zendesk’s close won opportunities, and the company reported that predictive intelligence was a key enabler in supercharging its revenue efforts.
ZipRecruiter Professional Services 1000 $474M United States IgniteTech IgniteTech Infer Account Based Marketing 2017 n/a
In 2017 ZipRecruiter implemented IgniteTech Infer, an Account Based Marketing application, to address weaknesses in its lead scoring as the company stood up an inside sales team. ZipRecruiter used IgniteTech Infer for Account Based Marketing to improve lead scoring and inside sales prioritization, aligning the application directly with sales lead qualification and routing workflows. The deployment centered on predictive lead scoring and lead segmentation capabilities native to IgniteTech Infer, including model driven scoring, segmentation of prospect pools, and automated prioritization logic. Configuration emphasized scoring rules and segmentation schemas that surfaced highest probability accounts and leads, and the IgniteTech Infer predictive scoring models were used to create prioritized lead lists for sales execution. Operational scope focused on the inside sales organization and individual sales reps who used scored and segmented leads to sequence outreach. The implementation supported standard Account Based Marketing workflows, where scored leads were fed into rep-facing queues and segmentation labels were applied to guide outreach cadence and messaging. Governance changes concentrated on using predictive scores to drive rep prioritization and lead handoff processes, shifting qualification from manual heuristics to score driven segmentation. As a result ZipRecruiter was able to better segment its leads and have its sales reps focus on the highest-quality leads, aligning the Infer deployment with measurable changes in sales prioritization and ongoing scoring governance.
Showing 1 to 5 of 5 entries

Buyer Intent: Companies Evaluating IgniteTech Infer

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IgniteTech Infer. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IgniteTech Infer for Account Based Marketing include:

  1. Klodev, a United Kingdom based Professional Services organization with 10 Employees
  2. Kvant-2, a Ukraine based Communications company with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Klodev Professional Services 10 $1M United Kingdom 2026-01-29
Kvant-2 Communications 10 $1M Ukraine 2026-01-28
FAQ - APPS RUN THE WORLD IgniteTech Infer Coverage

IgniteTech Infer is a Account Based Marketing solution from IgniteTech.

Companies worldwide use IgniteTech Infer, from small firms to large enterprises across 21+ industries.

Organizations such as Zendesk, ZipRecruiter, Booker, Social Tables and DNN Corporation are recorded users of IgniteTech Infer for Account Based Marketing.

Companies using IgniteTech Infer are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using IgniteTech Infer are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IgniteTech Infer across Americas, EMEA, and APAC.

Companies using IgniteTech Infer range from small businesses with 0-100 employees - 20%, to mid-sized firms with 101-1,000 employees - 60%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 0%.

Customers of IgniteTech Infer include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified IgniteTech Infer customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Account Based Marketing.