Home Online Advertising TRAFFIQ CPO Picard Discusses New Trading Desk Targeting Agencies

TRAFFIQ CPO Picard Discusses New Trading Desk Targeting Agencies

SHARE:

TRAFFIQTRAFFIQ announced yesterday the addition of real-time bidding capabilities to its platform and the launch of TRAFFIQ Trading Desk which “gives advertisers the ability to buy into the majority of exchange inventory across the web.” Read the release.

TRAFFIQ Chief Product Officer Eric Picard discussed the new trading desk and its features.

AdExchanger.com: Now that you’ve added the ability to buy across exchanges with the Trading Desk’s RTB capabilities, do you think of at least part of the company as a demand-side platform?

EP: The current crop of Demand-Side Platforms support programmatic media buying to get access to audience based inventory. But that’s exactly what TRAFFIQ does – our platform is designed to put the power into the hands of the buyer. Whether a buyer needs to buy guaranteed inventory, or wants access to audience inventory via real-time bidding inventory source, they will get access to it via one platform. We also support some supply-side needs and we frequently work with multiple technology partners at the request of our customers to provide as seamless a customer experience as possible.

How will you tie exchange and guaranteed buying together for your clients? Can you provide attribution capabilities such as showing how spot buying affects the final conversion versus guaranteed buying?

Buyers have a primary need to meet the goals of the advertiser in a cost effective and ROI positive way. An RFP created in the buying process typically includes a broad set of goals. But publisher ad platforms can’t predict inventory very accurately to begin with, and when lots of targeting parameters get assigned to a buy, campaigns become very labor intensive for the publisher to deliver. This leads to RFP responses that are a bit more broad than the buyer would like, and even with ‘relaxed’ delivery criteria – publisher ad platforms frequently under-deliver against the contract. We’re looking at ways to solve this problem without abandoning guaranteed buying with RFPs, where the buyer can supplement their RFP-based guaranteed buys with audience-based buys available from numerous sources, but using verifiable data to define the audience. Plus we’re adding capabilities to manage Paid Search that will ultimately give customers access to one suite of tools for managing guaranteed media buys, real-time bidded display buys, and paid search. This will give the buyer the best of all worlds, where they can blend campaigns across methodologies, and track all the campaign activity regardless of inventory source in one seamless view. They can buy for reach, they can buy for performance, or they can blend back and forth between the two.

Given your guaranteed inventory sources, are there any plans in sourcing unsold inventory from those sources for spot marketing buying purposes?

For clarity – let me just explain that TRAFFIQ works with the sell-side to provide publishers and networks with guaranteed demand, where they’re able to have control and transparency in how that inventory is sold – and we provide buyers with the same – control and transparency in how their guaranteed buys are managed. This gets both sides of the transaction what they really want – clarity, control, predictability and flexibility.

Is the product in-market today? How much does it cost – and do you see the client for your Trading Desk product any different than your guaranteed inventory buying capabilities?

TRAFFIQ continues to offer our core platform to buyers for free, and is paid based on revenue share with our supply side partners. We offer a service component as well, which does have a minimum spend that most of our customers easily cover. This is where we’ll initially be offering the Trading Desk capabilities – as a managed service. But we are absolutely expanding the capabilities over time to our self-service offering, and you should expect this to evolve a lot as we get closer to market. Based on customer feedback, we expect our agency partners to use all the offerings of the platform, and we’ll see our customer base broaden to match our newer broader capabilities – including growth from both performance and brand buyers, and the availability of even more publisher partners.

By John Ebbert

Tagged in:

Must Read

Single continuous line drawing robot riding pencil rocket flying in the sky. Tech education and creativity. Future technology development. Artificial intelligence. One line design vector illustration

Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?

If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom’s Q3 earnings on Thursday.

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.

Apple Publishes Its Plan To Wipe Out Web Tracking

Apple is coming for identity resolution. WebKit’s latest tracking crackdown targets the infrastructure behind post-cookie IDs – and switching to a first-party setup won’t necessarily spare vendors.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?

Advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that are monetized with programmatic ads and feature fabricated author profiles.

How Australian Home Lender Lendi Measures The Invisible Work Of AI

Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are.

AI Startup Minerva Built An Agentic CDP, But Don’t Call It That

Minerva wants to turn fragmented customer data into something marketers can use, with AI agents doing the work behind the scenes.