AdTech Vendor · vs · AdTech Vendor
AdRoll vs Fluency
Structured technology and market comparison · 2026
Direct Feature Comparison
AdRoll · vs · FluencyAdtech platform for retargeting, DSP and B2B ABM.
Agentic paid-media operating system for high-volume cross-channel advertising.
Analyze all overlapping signals and tech stacks for AdRoll and Fluency
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between AdRoll and Fluency?
When comparing AdRoll and Fluency, both platforms operate within the Demand-Side Platform (DSP), Display, Web & Mobile, and AdTech Vendor ecosystem. AdRoll is positioned as Adtech platform for retargeting, DSP and B2B ABM, whereas Fluency focuses on Agentic paid-media operating system for high-volume cross-channel advertising. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to AdRoll and Fluency?
When evaluating AdRoll and Fluency, enterprise buyers also consider other platforms in Demand-Side Platform (DSP), Display, Web & Mobile, and AdTech Vendor. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
Market Signals
Recent Market Signals & Activity: AdRoll vs Fluency
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
AdRoll
Recent Signals
- ·https://martechseries.com/feed/Advertising Trends
AdRoll reports 45% drop in prospecting CPMs
AdRoll released its Q3 2026 State of Digital Advertising Report, showing a 45% year-over-year decline in display prospecting CPMs from July 1 to Sept. 8, offering a lower-cost window for holiday marketers before prices typically rise. Display retargeting CPMs fell 29.1% year over year, with a 40.2% drop from Q2. Account-based marketing CPMs increased 4.4% year over year but declined 15.1% from Q2. The report also indicates that despite lower ad prices, consumer spending remains steady, with a 4.5% increase in card spending per household. AdRoll CEO Vibhor Kapoor advises marketers to reallocate budgets based on full-funnel performance. The report includes insights from a study with eTail on retargeting challenges, highlighting that only 13% of retailers successfully bring back over 20% of cart abandoners, and underscores the importance of first-party signals in tailoring messaging.
- AdRoll's Q3 2026 report shows display prospecting CPMs dropped 45% year over year.
- Display retargeting CPMs declined 29.1% year over year and 40.2% from Q2.
- ABM CPMs increased 4.4% year over year but fell 15.1% from Q2.
- ·https://martechseries.com/feed/Chat & Conversational UI / Conversational Ads
AdRoll Pilots ChatGPT Ads for Multichannel Reach
AdRoll announced a pilot allowing a select group of AdRoll and AdRoll ABM customers to test advertising placements inside ChatGPT. The pilot aims to help SMB, mid-market and B2B advertisers evaluate how conversational-AI placements complement existing media strategies across the customer journey. Ads are designed to appear below ChatGPT responses when contextually appropriate and — according to OpenAI — do not influence model outputs; OpenAI also keeps conversations private and does not sell user data to advertisers. AdRoll will provide campaign support for participants and said the pilot builds on its multichannel investments, including connected TV, digital out-of-home, and Model Context Protocol (MCP) integrations that connect AdRoll with AI assistants and agentic workflows.
- AdRoll announced a pilot that enables a select group of AdRoll and AdRoll ABM customers to test advertising placements in ChatGPT.
- Ads in ChatGPT appear below the end of a response when contextually appropriate and do not influence ChatGPT's responses.
- OpenAI keeps users' conversations private from advertisers and does not sell user data to advertisers, per the article.
Fluency
Recent Signals
- ·AdExchangerProgrammatic Media Buying
Deciding What AI Should Never Control in Advertising
Eric Picard of Fluency argues that while LLMs and AI agents will become part of advertising workflows, the industry must clearly define what parts of campaign operations AI must never control. He warns that LLMs are probabilistic and therefore unsuitable for making irreversible budgetary or execution decisions without human-in-the-loop governance. Picard outlines three lessons from running automated advertising at scale: platform APIs do not teach operational wisdom, governance must be encoded into automation from the start, and the most valuable automation scales a buyer’s strategic thinking while keeping deterministic execution for money-moving systems.
- Opinion piece by Eric Picard (Fluency) published on August 17, 2026.
- The article argues LLMs are probabilistic and should not be allowed to make irreversible advertising spend or execution decisions without human oversight.
- Picard presents three lessons from running automated advertising at scale: API knowledge ≠ operational know-how; automation requires built-in governance; and automation should scale a buyer's strategic intent with deterministic execution.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners AdRoll and Fluency share across the market ecosystem.