Table of Contents

Account Based Marketing Glossary

Account Based Marketing Glossary

MARKETING GUIDE

Ad Tech & Programmatic Basics

  • DSP (Demand-Side Platform): A technology platform that allows advertisers to buy digital ad inventory across multiple ad exchanges via a single interface, often using real-time bidding.
  • Ad Exchange: A digital marketplace where advertisers and publishers transact on ad inventory in real time.
  • RTB (Real-Time Bidding): An auction-based protocol enabling ad inventory to be bought and sold on a per-impression basis, in milliseconds.
  • Impression: A single instance of an ad being served to a user.
  • Click: An interaction where a user selects an ad to visit the advertiser’s site or landing page.
  • Programmatic Advertising: Automated process of buying and selling ad inventory using data and algorithms to target audiences.

 

B2B Targeting & Measurement

  • Account-Based Marketing (ABM): A B2B marketing strategy focusing on engaging specific target accounts rather than broad segments.
  • Company IP Targeting: Serving ads to users based on their corporate IP address to ensure the right company is targeted.
  • Intent Data: Behavioral data that indicates a company’s interest in a product or solution.
  • Firmographic Data: Company-related data such as industry, size, revenue,  used for segmentation and targeting in B2B.
  • Buyer Journey: The stages a business decision-maker goes through from awareness to decision.
  • Engagement Metrics: Indicators like viewability, clicks, that measure how users interact with B2B ads.

 

Fraud Prevention & Verification

  • Ad Fraud: Deceptive practices like fake clicks or impressions designed to generate revenue without genuine human engagement.
  • Click Fraud: Fraudulent clicks on ads, often generated by bots or malicious actors, skewing campaign metrics..  Invalid Traffic (IVT): Traffic that does not represent genuine user intent, such as bots, spiders, or accidental clicks.
  • Bot: Automated scripts or programs that simulate user activity, commonly used in ad fraud.
  • Anomaly Detection: Techniques used to detect patterns or behaviors in data that deviate from the norm, useful in identifying fraud.
  • IP Monitoring: Tracking IP activity to detect suspicious patterns or fraudulent behaviors.
  • IP Frequency Management: Limiting the number of impressions or interactions per IP address to ensure fair and human-like exposure.
  • Brand Safety: Practices ensuring ads do not appear alongside harmful, inappropriate, or brand-damaging content.
  • Third-Party Verification: Independent auditing of ad performance, placement, and metrics to ensure campaign transparency.
  • Independent Industry Certification: Validations from third parties that confirm adherence to ad industry standards (e.g., TCF accreditation).

 

Campaign Optimization & Strategy

  • Audience Segmentation: Dividing a target audience into subgroups based on specific criteria such as firmographics or behaviors.
  • Frequency Capping: Setting limits on how often a specific user or company sees an ad to avoid fatigue.
  • Attribution: The process of identifying which touchpoints or ads contributed to a conversion or desired action.. Viewability: A metric indicating whether an ad had the opportunity to be seen by a user.
  • Bid Optimization: Dynamically adjusting bid focus based on company value, time of day, media type, or historical campaign performance to maximize performance.
  • Creative Optimization: Testing and refining ad creatives (e.g., messaging, images, CTAs) to improve engagement, often with personalization for different roles or industries.
  • Placement Optimization: Choosing optimal ad placements based on contextual relevance, past performance, and avoiding low-quality or fraudulent inventory.
  • Time-Based Targeting: Scheduling campaigns during the business hours of your target accounts and pausing during low-engagement periods like weekends or holidays.
  • Budget Allocation & Pacing: Adjusting budget distribution across time, channels, and audience segments to focus spend where it drives the highest impact.
  • KPI Tracking & Reporting: Monitoring key performance indicators such as impressions, clicks, conversions, and engaged accounts to guide real-time campaign adjustments.
  • Suppression Lists: Excluding specific companies, customers, competitors, or internal traffic from campaigns to avoid wasted impressions and budget.
Toni Chumillas

B2B DSP Co-founder & COO

Toni Chumillas is an award-winning marketer and founder of AccountInsight, the B2B DSP designed to enable effective B2B advertising running on non-cookie IDs. In his own words “Technology is changing the way we market. As CMOs are looking for solutions to increase revenue, outcome-driven programmatic B2B provides both qualitative and quantitative insight to help them achieve just that.”

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