List of IgniteTech Infer Customers
Austin, 78741, TX,
United States
Since 2010, our global team of researchers has been studying IgniteTech Infer customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IgniteTech Infer for Account Based Marketing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IgniteTech Infer for Account Based Marketing include: Zendesk, a United States based Professional Services organisation with 6000 employees and revenues of $2.55 billion, ZipRecruiter, a United States based Professional Services organisation with 1000 employees and revenues of $474.0 million, Booker, a United States based Professional Services organisation with 320 employees and revenues of $90.0 million, Social Tables, a United States based Professional Services organisation with 120 employees and revenues of $40.0 million, DNN Corporation, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using IgniteTech Infer, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The IgniteTech Infer customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| 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.
|
Buyer Intent: Companies Evaluating IgniteTech Infer
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 |