From cb5e769756b8249a249dcdade7192f2bd72265d0 Mon Sep 17 00:00:00 2001 From: bretg Date: Wed, 8 Sep 2021 17:24:11 -0400 Subject: [PATCH] Prebid Server Programmatic Guaranteed Documentation (#3037) * pg, cont * pg, cont * checkpoint * checkpoint * checkpoint * checkpoint * first cut at PG docs * checkpoint * fixing links, minor edits --- _data/sidebar.yml | 8 + assets/images/prebid-server/pg/pg-arch-1.png | Bin 0 -> 69094 bytes assets/images/prebid-server/pg/pg-arch-2.png | Bin 0 -> 684029 bytes .../prebid-server/pg/pg-bad-delivery.png | Bin 0 -> 199068 bytes .../prebid-server/pg/pg-good-delivery.png | Bin 0 -> 160354 bytes assets/images/prebid-server/pg/pg-metrics.png | Bin 0 -> 377756 bytes prebid-server/features/pbs-feature-idx.md | 1 + prebid-server/features/pg/pbs-pg-bidder.md | 141 +++++++++ prebid-server/features/pg/pbs-pg-glossary.md | 80 +++++ prebid-server/features/pg/pbs-pg-host.md | 67 +++++ prebid-server/features/pg/pbs-pg-idx.md | 64 ++++ prebid-server/features/pg/pbs-pg-plan.md | 284 ++++++++++++++++++ prebid-server/features/pg/pbs-pg-targeting.md | 177 +++++++++++ 13 files changed, 822 insertions(+) create mode 100644 assets/images/prebid-server/pg/pg-arch-1.png create mode 100644 assets/images/prebid-server/pg/pg-arch-2.png create mode 100644 assets/images/prebid-server/pg/pg-bad-delivery.png create mode 100644 assets/images/prebid-server/pg/pg-good-delivery.png create mode 100644 assets/images/prebid-server/pg/pg-metrics.png create mode 100644 prebid-server/features/pg/pbs-pg-bidder.md create mode 100644 prebid-server/features/pg/pbs-pg-glossary.md create mode 100644 prebid-server/features/pg/pbs-pg-host.md create mode 100644 prebid-server/features/pg/pbs-pg-idx.md create mode 100644 prebid-server/features/pg/pbs-pg-plan.md create mode 100644 prebid-server/features/pg/pbs-pg-targeting.md diff --git a/_data/sidebar.yml b/_data/sidebar.yml index e029cafeaa..27cea0a38e 100644 --- a/_data/sidebar.yml +++ 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zxtY%=y3R$*lvQtYuw0%Gq}UxO7+R33FyN%Q`YvV=U(Q6--baYM@I zv!?ZkP8ib0`&@KdkNk@pgR#d-dH-o$jTrfV@Wl>KnwwXl6#a`ef_2zRHEq>6m5m4f E2d|WL)&Kwi literal 0 HcmV?d00001 diff --git a/prebid-server/features/pbs-feature-idx.md b/prebid-server/features/pbs-feature-idx.md index a6c9655753..dec47eb023 100644 --- a/prebid-server/features/pbs-feature-idx.md +++ b/prebid-server/features/pbs-feature-idx.md @@ -79,5 +79,6 @@ title: Prebid Server | Features | Operations | Circuit breaker | Protects system performance during fault scenarios by detecting problems with external and internal endpoints, turning them off temporarily when a problem occurs. | | | | Operations | [Server default request](/prebid-server/features/pbs-default-request.html) | Support global defaults for incoming requests. | | | | Operations | IPv6 | Support taking IPv6 addresses and forwarding them to bidders. | | | +| [Programmatic Guaranteed](/prebid-server/features/pg/pbs-pg-idx.html) | Integration and Targeting | Ability to load, target, and report PG line items | | | | Operations | [Request Logging Admin Endpoints](/troubleshooting/pbs-troubleshooting.html#request-logging) | Log a limited number of requests to understand the raw data clients are sending. | | | | Metadata | [x-prebid header](/prebid-server/endpoints/openrtb2/pbs-endpoint-auction.html#http-headers) | Put version information in outgoing HTTP headers. | | | diff --git a/prebid-server/features/pg/pbs-pg-bidder.md b/prebid-server/features/pg/pbs-pg-bidder.md new file mode 100644 index 0000000000..88e4dc53ec --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-bidder.md @@ -0,0 +1,141 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Building a PG Bidder +--- + +# Building a Programmatic Guaranteed Bidder +{: .no_toc} + +* TOC +{:toc} + +## What is a PG Bidder? + +The architecture of Prebid Programmatic Guaranteed (PG) is inherently multi-vendor. A PG `Host Company` runs a global distributed cluster of Prebid Servers. These servers handle the 'real-time' requests... those that need to have millisecond response times. They also run a couple of backend servers that help manage the PG line items. One of them +is called the `General Planner`. The General Planner can connect out to multiple sources of PG Line Items, and that's where you come in -- as a PG Bidder, you can contribute PG Line Items into the auction ecosystem for the publishers who utilize the Host Company's installation. +Here's a diagram from the [white paper](https://files.prebid.org/pg/Prebid_Programmatic_Guaranteed_White_Paper.pdf). + +![PG High Level Framework](/assets/images/prebid-server/pg/pg-arch-2.png){: .pb-lg-img :} + +1. The PG Host Company runs clusters of Prebid Servers that receive requests from publishers. +2. Prebid Servers look up additional data for use in targeting. +3. The General Planner queries your PG Bidder endpoint and allocates your line items across the Prebid Server clusters. +4. The `Delivery Stats Service` is available for PG Bidders to obtain up-to-date reports on how line items are delivering. +5. The `Dimension Value API` should be used by bidders to create targeting values. +6. Each PG Bidder has it's own logic for pacing their line items in 1 or 5-minute increments called "plans". +7. The publisher or a service team enter the PG Line Items into the PG Bidder's user interface. + +Notes: +- It's possible that you could deliver PG Line Items through more than one PG Host Company. +- It it the responsibility of the PG Bidder to manage their own finance arrangements with each Publisher. +- It's possible that the Host Company may charge a fee to deliver PG Line Items through their infrastructure. + +## What's involved in building a PG Bidder? + +These are the high level steps for how to develop a PG Bidder and plug it into a Host Company's implementation. + +1. Contact a PG Host Company to make sure they're ready to incorporate a new PG Bidder. They may have additional requirements. +1. Obtain access to the Host Company's Dimension Value API and Delivery Stats server. You will receive a "biddercode" similar to the codes used in Prebid.js. e.g. "pgExample". +1. Develop a User Interface for the customer to enter PG info: date range, targeting details, price, and pacing details. The targeting information comes from the Host Company's Dimension Value API. +1. Develop a pacing algorithm that uses data from the Host Company's Delivery Stats server and your own data stores. +1. Develop a report that uses data from the Host Company's Delivery Stats server and your own data stores. +1. Develop an external API that can respond to requests from the Host Company's General Planner for line item data. +1. Develop a method for estimating inventory forecast and availability. The Host Company may have data available. +1. Contact the Host Company to begin integration testing. + +### Obtain targeting dimensions + +The Host Company will give PG Bidders access to their Dimension Value API which will let them know what attributes and values their Prebid Servers can target at runtime for particular clients. +The values used will differ between Host Companies and publishers. For example, there may be different geographic and device info services. Publisher AdSlot and First Party Data fields will also vary. + +Once granted authenticated access to the Dimension Value endpoint, you'll use the it to query it to get attribute names and values specific to the accounts you're working with. e.g. + +- GET /dim-val/api/v2/attr/names?account=1001 +- GET /dim-val/api/v2/attr/values?account=1001 + +There are various options for filtering data. See the [Dimension Value API documentation](https://github.rp-core.com/ContainerTag/pg-dim-val-api/blob/master-rubicon/docs/server_endpoints.md) for more details. + +{: .alert.alert-info :} +In order to access client-specific targeting data, you'll need to know the account ID the Host Company uses for each publisher. + +See [PG Targeting Syntax](/prebid-server/features/pg/pbs-pg-targeting.html) for a list of targeting attributes you may be able +to get from the PG Host Company and how to format them as part of the [PG Plan](/prebid-server/features/pg/pbs-pg-plan.html). + +### Getting data from the Delivery Stats Service + +There are two reasons PG Bidders need data from the Host Company's PG Delivery Stats Service: + +1. **Line Item reporting**: detailed info is available about where in the delivery funnel each Line Item is getting attention or running into problems. See the [PG Glossary](/prebid-server/features/pg/pbs-pg-glossary.html#metrics) for which statistics you can expect. +1. **Inform the pacing algorithm**: in order to write a robust and responsive pacing algorithm, the PG Bidder is going to need fresh data. If the bidder's impression data stream is real-time, that may be enough. If not, the Host Company's Delivery Stats server can provide recent (5-minute) summaries of important metrics like tokens spend and bidsWon. See [PG Plans](/prebid-server/features/pg/pbs-pg-plan.html) for more details. + +Some example Delivery Stats queries: + +- GET /del-stats-summ/api/v1/report/line-item-summary?startTime=YYYY-MM-DDT00:00:00.000Z -- this returns an hourly aggregration for all of your line items since the specified time. See the [Line Item Summary Report endpoint documentation](https://github.rp-core.com/ContainerTag/pg-del-stats-svc/blob/master-rubicon/docs/line_item_summary_endpoint.md) for more info. +- GET /del-stats-pa/api/v2/report/delivery?bidderCode=pgExample&startTime=YYYY-MM-DDT00:00:00.000Z -- this returns 5-minute aggregations for all of your line items since the specified time. See the [Delivery Report endpoint documentation](https://github.rp-core.com/ContainerTag/pg-del-stats-svc/blob/master-rubicon/docs/delivery_report_endpoints.md) + + +### Answering General Planner requests + +When the PG Bidder is ready for integration with the Host Company, they'll provide an authenticated secure endpoint that will answer requests from the Host Company's General Planner. +The path of this endpoint can be anything you'd like. It will receive these query string parameters: + +{: .table .table-bordered .table-striped } +| Parameter | Format | Required? | Description | +| --- | --- | --- | --- | +| since | string | no | Timestamp in ISO-8601 format. For example, 2019-02-01T03:00:00.000Z. Service should respond with all meta data for active or nearly-active line items and schedules that got updated since this timestamp. Absence of this parameter signals request to return all active or nearly-active line items. | +| hours | string | no | Number of hours of plans desired i.e. provide the next 3 hours worth of plans | + +Here's an [example JSON response](https://github.rp-core.com/ContainerTag/pg-general-planner/blob/master-rubicon/docs/samples/pa_rsp.json) that might come from your bidder planner. + +At this point, your endpoint needs to respond quickly with the most recently calculated set of PG line item pacing plans. A `plan` is a set +of instructions to Prebid Server that tells the system how often to serve +a line item in a given period. e.g. "serve LineA 50 times from noon-12:05, 55 times from 12:05-12:10, ..." + +The General Planner will be configured to call your endpoint every 1-10 minutes depending on the Host Company. + +See [PG Plan Definition](/prebid-server/features/pg/pbs-pg-plan.html) for more details. + +### General notes on writing a pacing algorithm + +At a high level, pacing a line item seems like it might be simple: + +``` +NumberOfImpressionsEach5MinPeriod=TotalImpressionsRemaining+3percentBuffer / NumberOf5MinPeriodsRemaining +``` + +But this approach wouldn't perform well: +- When the line falls behind, it won't take advantage of higher traffic periods to catch up. It will fall behind during normal low-traffic periods, saving all impressions for the last minute. +- As covered in the description of [tokens](/prebid-server/features/pg/pbs-pg-plan.html#tokens), a PG line item cannot assume that it'll be chosen every time it's offered to the ad server. Prebid PG paces based on tokens, not impressions, so the pacing algorithm needs to estimate how many times each line item needs to be offered to the ad server in order to land a final certified impression. + +Likewise, another naive approach is to try and immediately catch up to the "even delivery" line: +``` +ImpressionDeficit=TotalImpressions+3percentBuffer - TotalImpressionsShouldHaveByNow + +NumberOfImpressionsThis5MinPeriod=ImpressionDeficit * NoiseFactor +``` + +Potential problems with this algorithm: +- If it falls far behind, it could be overly aggressive in trying to catch up, affecting the delivery of other line items. +- If it gets ahead somehow, it will stop delivering entirely until time catches up to the delivery curve. + +Here are some examples of desirable delivery patterns: + +![Desirable delivery patterns](/assets/images/prebid-server/pg/pg-good-delivery.png){: .pb-lg-img :} + +And these are examples of delivery patterns to avoid: + +![Undesirable delivery patterns](/assets/images/prebid-server/pg/pg-bad-delivery.png){: .pb-lg-img :} + +For more information, see the "Plans" section of the [Intro to PG Whitepaper](https://files.prebid.org/pg/Prebid_Programmatic_Guaranteed_White_Paper.pdf). + +{: .alert.alert-warning :} +The PG Host Company may require periodic of testing with your pacing algorithm because undesirable +token management from on PG Bidder could affect line item delivery from other PG Bidders. + +## Related Topics + +- [PG Home Page](/prebid-server/features/pg/pbs-pg-idx.html) +- [PG Plans](/prebid-server/features/pg/pbs-pg-plan.html) +- [PG Glossary](/prebid-server/features/pg/pbs-pg-glossary.html) +- [PG Targeting](/prebid-server/features/pg/pbs-pg-targeting.html) diff --git a/prebid-server/features/pg/pbs-pg-glossary.md b/prebid-server/features/pg/pbs-pg-glossary.md new file mode 100644 index 0000000000..c4dd2df468 --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-glossary.md @@ -0,0 +1,80 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Programmatic Guaranteed Glossary +--- + +# Programmatic Guaranteed Glossary +{: .no_toc} + +* TOC +{:toc} + +## Basic terminology + +- **Programmatic Ad** - an ad request that flows through the multi-vendor ad tech ecosystem +- **Guaranteed** - A buyer and seller have entered into a contract: to deliver a certain amount of impressions to a particular target over a particular date range. If contract isn't met, there may be financial penalties or extra impressions. +- **PG Host Company** - the entity running the Prebid PG software: Prebid Servers, General Planner, Delivery Stats, and Dimension Value API. +- **Prebid Ad Slot** - the "hole in the page" that's requesting an ad (note: this is not currently standard Prebid.org terminology). +- **Prebid Ad Unit** - a package of bidding parameters that defines which bidders and bid parameters are to be used for a specific "hole in the page". +- **Client Requests** - OpenRTB-like network calls from a client to the Prebid Server requesting one or more auctions. +- **Auction Requests** - a single OpenRTB ad request may contain 1 or more 'imp' blocks that define different auction scenarios. Each of these blocks is an "auction". Auctions are sent to one or more bidders and are associated with auction parameters for each bidder. +- **PG Bidder** - the ad exchange, demand side platform, or other bid source that directly or indirectly connects the Auction Request to a bid. Example bidders include Magnite, Criteo, etc. +- **Bidder Parameters** - the specific parameters required by the bidder describing the auction to take place. The Rubicon account, site, and zone are example parameters. +- **PG Line Item** - the base unit of ad delivery has a goal, date range, target, creatives, deal ID, and pacing options. +- **AdServer Line Item** - corresponding to the PG Line Item, the AdServer has a similar line item which prioritizes the PG Line Item in relation to other direct-sold agreements. It may also have a goal and date range, but the targeting will be just to the deal ID, not the full PG target. The creative is the Prebid-standard creative instead of the actual creative. +- **Deal** - an agreement between a buyer and a seller. In the PG context, a Deal may be comprised of 1 or more line items for different media types, targets, date ranges, etc. Since most bidders won't understand "line items", a candidate Deal ID is likely to be what's passed to each bidder. +- **Line Item Type** - sponsorship, guaranteed, non-guaranteed, house. +- **Creative** - the actual ad that will be seen by an end user. May be an image, HTML, video, or native. +- **Target** - a description of the specific sites, user, device, and geographic characteristics a line item is aimed at. +- **Goal** - How many total impressions a campaign line needs to serve +- **Bonus** - Extra impressions assigned to a campaign line to make sure it delivers at least the total goal. This may be stated as a percentage or a number of impressions. Bonus is important to make sure that impression counting discrepancies don't cause the campaign to be perceived as missing its goal. +- **Goal Type** - which metric is used to meet the goal. (i.e. wins or views) +- **Start and End Datetime** - the date range for the campaign could include starting and ending mid-day. Each campaign may also be associated with a timezone. +- **Delivery Type** - defines the general shape of the desired delivery curve: + - even delivery - impressions are roughly equal each day of the campaign + - front-loaded delivery - there may be more impressions delivered in the early days of the campaign + - as-soon-as-possible - serve this thing whenever there's a chance +- **Historic Delivery** - Number of impressions a line delivered until the end of previous day. +- **Deficit** - The number of impressions a line is behind due to lack of overall inventory, existence of road-blocks, or other reason. +- **Late Deficit** - Number of impressions that a line is behind due to trafficking reasons, normally late creative. We may choose to catch up on a late deficit differently than other kinds of deficits because it's the fault of the advertiser, and it could affect other campaigns. +- **Priority** - a way of ranking competing line items against each other. +- **Oversold** - one or more guaranteed line items are struggling and are unlikely to reach their goals. In some cases it may be better to let some of the line items finish at the expense of others, while in other scenarios it's better to distribute what's available. +- **Underdelivery** - when a line item is not serving enough impressions to meet its goal. +- **Overdelivery** - when a line item is serving too many impressions, or has met its delivery goal too early. +- **Frequency Cap** - how often a given user is allowed to see the advertising message. +- **Discrepancy** - impressions are counted by multiple systems which often different from each other by a few percent. The buyer and seller agree on which numbers are billable. The ad system needs to deliver enough impressions that the goal is met in the system-of-record. +- **Ad Inventory** - the combined set of attributes supplied with an ad request, whether direct or indirect. e.g. page context, user info, device info, etc. Line Item 'Targets' inspect these inventory attributes for matching. +- **Forecast** - how much inventory of a particular type is expected to come in over a specified time period. e.g. "how many 300x250 ad requests from example.com will come from Windows machines next week?" +- **Commitment** - a guaranteed line item that the publisher has promised to deliver to an advertiser. +- **Availability** - starts with the Projection, but removes traffic that's already sold to other committed line items. +- **Availability Buffer** - a safety factor to recognize that projections are always an estimate, and only the most sophisticated delivery systems can properly support the juggling involved in tightly sold overlapping inventory. + +## Metrics + +The basic design of the metrics offered by the PG system is a funnel that allows us to see where a line item's chance to deliver may be struggling. Here are the metrics available: + +- **clientAuctions** - the total number of auction impression requests seen by the system across all accounts. A single HTTPS request to PBS may contain multiple auction requests – this number basically reflects all auctions taking place. +- **accountAuctions** - the number of auctions taking place for the specific Rubicon Project account ID +- **domainMatched** - the number of times the domain portion of this line item's target matched an impression request. e.g. "1000 auctions for example.com". If there is no domain targeting, this number should be the same as accountAuctions. +- **targetMatched** - the number of times the line item's entire target matched a request. +- **targetMatchedButFcapped** - the number of times the line item's entire target matched a request, but the user ad already reached their personal frequency cap limit for this line item. +- **targetMatchedButFcapLookupFailed** - the number of times the line item's entire target matched a request, but was removed from consideration because the lines item has a frequency cap and the lookup to the Frequency Capping system failed. +- **pacingDeferred** - Prebid has taken the line item out of consideration in order to make sure it's not delivering too often +- **sentToBidder** - only the top few matching line items or deals will be sent to each bidder. This metric indicates whether the line item was in the top few. +- **sentToBidderAsTopMatch** - if the line item was considered most ready to serve by Prebid Server before going to the bidder, this metric will be incremented. +- **receivedFromBidder** - this metric indicates whether the bidder chose this deal/line item from the candidates sent to it. Bidders may reject any suggested Deal ID or fail to respond. +- **receivedFromBidderInvalidated** - indicates the number of times this deal/line item was received from a bidder, but rejected by Prebid Server for any reason. Rejection reasons include: incorrect size for auction, target didn't match, ahead of pace and not ready to serve. +- **sentToClient** - indicates how many times this line item was sent as the bidder's top match to the client, and therefore the ad server. +- **sentToClientAsTopMatch** - indicates how many times this line item was sent to the client/ad server flagged by Prebid Server as the most eligible PG line item. +- **lostToLineItems** - this array provides a measure of which competing line items have been considered more eligible to serve than this line item +- **events** - how many times this line item received notification of the stated event type. For now only the only supported event type is "win", but eventually there may be other types like "click", "video 50% played", etc. + +Here's a graphical representation showing what point in the delivery funnel each of these metrics measures: + +![PG Metrics](/assets/images/prebid-server/pg/pg-metrics.png){: .pb-xlg-img :} + +## Related Topics + +- [PG Home Page](/prebid-server/features/pg/pbs-pg-idx.html) +- [PG White Paper](https://files.prebid.org/pg/Prebid_Programmatic_Guaranteed_White_Paper.pdf) diff --git a/prebid-server/features/pg/pbs-pg-host.md b/prebid-server/features/pg/pbs-pg-host.md new file mode 100644 index 0000000000..3abf6b3d5e --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-host.md @@ -0,0 +1,67 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Becoming a PG Host Company +--- + +# Becoming a PG Host Company +{: .no_toc} + +* TOC +{:toc} + +## Overview + +Prebid PG is open source, so anyone can spin up the 4 different types of servers +needed to offer a PG service. + +1. Prebid Servers handle the real-time mix of open market and PG auctions. +1. The General Planner collects PG line items from one or more PG Bidders. +1. The Delivery Stats Service provides pacing and reporting information. +1. The Dimension Value API provides the user interface the details required to build targets. + +See [Adding a PG Bidder](/prebid-server/features/pg/pbs-pg-bidder.html) for the +high level view of the components. + +As a PG Host Company, you will have expenses in running and maintaining a global high-performance cluster of servers and databases. You'll need at least one PG Bidder, +which might be one you build on your own or partner with someone else. You're under +no obligation to support other PG Bidders, but your publishers may request it. + +## Installing the Servers + +For now, the only information about building and running the servers is in +the relevant GitHub repos: + +- [Prebid Server Java](https://github.com/prebid/prebid-server-java). Note that Prebid Server Go doesn't currently support Programmatic Guaranteed. +- [General Planner](https://github.com/prebid/pg-general-planner) +- [Delivery Stats Service](https://github.com/prebid/pg-del-stats) +- [Dimension Value API](https://github.com/prebid/pg-dim-val-api) + +Prebid does not offer specific guidance about fault-tolerant architectures. +It's left up to each Host Company to determine what will happen if one of the servers goes down. i.e. Will there be load-balancing, automatic failover, a warm stand-by, or no fault tolerance? + +## General notes on testing the service + +There are a fair number of moving parts in a Prebid PG installation. Prebid.org +does not run a test cluster. Changes are made by Prebid member companies, which do +have test clusters, but they may not test every possible configuration. e.g. different databases, geographic lookup vendors, + +We recommend that PG Host Companies commit to regular testing of software updates +against their specific configuration. + +The testing of PG Bidders and their pacing algorithms may be important to you, +as publishers and advertisers care about the delivery patterns of their ad campaigns +in a variety of challenging scenarios. Prebid.org may have extended recommendations +about PG Bidder testing in the future, but in the meantime, you should consider +joining Prebid.org and chatting with the development teams involved. + +## Announcing your service + +When ready to open their doors for business, Prebid.org members can ask to +have their contact info added to the list of [PG Managed Services](/prebid-server/features/pg/pbs-pg-idx.html#list-of-pg-managed-services). + +## Related Topics + +- [PG Home Page](/prebid-server/features/pg/pbs-pg-idx.html) +- [PG White Paper](https://files.prebid.org/pg/Prebid_Programmatic_Guaranteed_White_Paper.pdf) +- [PG Glossary](/prebid-server/features/pg/pbs-pg-glossary.html) diff --git a/prebid-server/features/pg/pbs-pg-idx.md b/prebid-server/features/pg/pbs-pg-idx.md new file mode 100644 index 0000000000..e35319ca8c --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-idx.md @@ -0,0 +1,64 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Prebid Programmatic Guaranteed +--- + +# Prebid Programmatic Guaranteed +{: .no_toc} + +* TOC +{:toc} + +## Prebid Programmatic Guaranteed +In general, Programmatic Guaranteed (PG) has existed for several years as an ad server-based function. +While anchoring PG in the ad server is helpful from a deployment perspective, +the lack of transparency and configurability in the ad server has slowed down product momentum +and made it harder for buyers and sellers to flexibly adjust their strategy and +configurations for PG deals. The introduction of open-source, standards-based +Programmatic Guaranteed, anchored in Prebid Sever, helps both buyers and sellers in +several key ways: + +- It allows publishers to utilize preferred partners and data in the Programmatic infrastructure. +- It streamlines the traditional RFP and I/O process between buyers and sellers +- It separates the pacing, capping and forecasting functions from the ad server so publishers can more easily control and modify deals +- Enables a seamless, software-based negotiation process between buyers and sellers +- Ensures easier interoperability with a wider universe of buy-side platforms + +At a high level, the system allows any **Host Company** running Prebid Server (only PBS-Java for now) to integrate open source components into their existing UIs and data delivery systems. + +In addition, the Host Company can support other **PG Bidders** connecting into their system to make their environment richer for publishers. + +![PG High Level Framework](/assets/images/prebid-server/pg/pg-arch-1.png){: .pb-sm-img :} + +We want to encourage an ecosystem where programmatic vendors can compete on their strengths: some companies may be excellent at hosting a technical infrastructure, while others may excel at usability, reporting, or delivery algorithms. + + +## PG For Publishers + +Publishers interested in trying Programmatic Guaranteed through Prebid should +contact one of the companies hosting a PG cluster. They'll explain how it all works and walk you through the setup process. + +### List of PG Managed Services + +If you're a publisher looking to try Programmatic Guaranteed or a PG bidder that wants to integrate into an existing cluster, here's a list of Prebid.org members to consider: + +- **Magnite** - contact your account representative or globalsupport@magnite.com + +## PG for Bidders + +If you have a demand source and are ready to implement a guaranteed delivery algorithm, learn how to [become a PG Bidder](/prebid-server/features/pg/pbs-pg-bidder.html). + +## Hosting your own PG Cluster + +If you're ready to host a global high-performance cluster, learn how to [become a PG Host Company](/prebid-server/features/pg/pbs-pg-host.html). + + +## Related Topics + +- Intro to PG: [video](https://files.prebid.org/pg/PG_in_Prebid.mp4), [pdf](https://files.prebid.org/pg/PG_in_Prebid_Overview.pdf) +- [PG White Paper](https://files.prebid.org/pg/Prebid_Programmatic_Guaranteed_White_Paper.pdf) +- [Becoming a PG Bidder](/prebid-server/features/pg/pbs-pg-bidder.html) +- [Becoming a PG Host Company](/prebid-server/features/pg/pbs-pg-host.html) +- [PG Targeting](/prebid-server/features/pg/pbs-pg-targeting.html) +- [PG Glossary](/prebid-server/features/pg/pbs-pg-glossary.html) diff --git a/prebid-server/features/pg/pbs-pg-plan.md b/prebid-server/features/pg/pbs-pg-plan.md new file mode 100644 index 0000000000..8c9c9e045e --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-plan.md @@ -0,0 +1,284 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Programmatic Guaranteed Plans +--- + +# Programmatic Guaranteed Plans +{: .no_toc} + +* TOC +{:toc} + +## What is a PG Plan? + +A `Plan` is a set of instructions to Prebid Server that tells it how often to serve a PG line item in a given period. + +1. Plans are created by each [PG Bidder](/prebid-server/features/pg/pbs-pg-bidder.html) as an output of their bidder-specific pacing algorithm. +1. The 'General Planner' run by the Host Company will spread the Plan out across the cluster of Prebid Servers. +1. Each Prebid Server works to deliver its part of the Plan. + +Here's what one looks like at a high level: + +``` +[ + { + "lineItemId": "2291", + ... other line item attributes ... + deliverySchedule: [{ + "planId": "2656179", + "startTimeStamp": "2020-08-28T11:50:00.000Z", + "endTimeStamp": "2020-08-28T11:55:00.000Z", + "updatedTimeStamp": "2020-08-28T10:04:12.000Z", + "tokens": [{ + "class": 1, + "total": 50 + }] + },{ + ... next delivery schedule ... + }] + }, + ... next line item ... + } +] +``` + +The key parts of the Plan are: +- Line item details. (See [example](#annotated-plan-example) below) +- An array of Delivery Schedules broken into 5-minute periods +- Each 5-minute period defines a number of `tokens` that need to be delivered + +### Tokens + +A `token` is an ad impression scaled up to overcome delivery obstacles. + +When Prebid Server (PBS) sends a PG line item to the ad server, it might be +chosen to win, or maybe not. In either case, the act of sending a +line item to the ad server causes PBS to create a "cool down" period for that +line item. This is what pacing is all about -- making sure that delivery of the +daily impression goal doesn't complete 20 minutes after midnight. PG delivery +needs to be spread through the day, through the hour, and through each 5-minute period. + +If we could guarantee that the ad server would choose the PG line item to win every time, +we wouldn't need tokens... PG could just use impressions. But that's not the case. There are several reasons why a candidate PG line item might not end up +getting a final certified ad impression: +- competing line items in the ad server +- competing PG line items from another vendor +- user leaves the page before ad render +- the impression may be discounted as non-human traffic + +Basically, the pacing algorithms are working in a "noisy" environment. Not only are there +many things that can get in the way of delivering a certified an ad impression, +conditions can change rapidly, e.g. competing line items may start or stop, or the DSP may change its bidding pattern. + +So a "token" is Prebid PG's way of dealing with noise in the system. +Instead of being satifisfied with offering a PG line item to the ad server +and assuming that it will become a certified impression, PG operates in tokens instead, knowing that some of those opportunities won't materialize. +You can think of it in terms of this basic formula: + +``` +Tokens = ImpressionsNeeded * Noise +``` + +Where the "noise" factor is how many tokens it's currently taking to get an ad +impression through the gauntlet of challenges. Determining this noise factor +is part of what the pacing algorithm needs to do -- adjusting it in real time +as needed. e.g. if it's been taking 2 trips to the ad server to get a "bid won", the noise factor is 2, so in a plan that requires 50 impressions, there would be 100 tokens. +You might wonder "why doesn't Prebid Server just take care of this?" Because Prebid Server is stateless... useful statistics are forwarded from hundreds of front-end servers and it's the job of the backend servers to aggregate and use that data. + +Of course noise could be infinite. For example, if there's a 'roadblock' +ad in the ad server, it's possible that a PG line item will just stop delivering +entirely for a day or more, and that's ok. But even though noise can be infinite, +tokens cannot be. The Host Company will cap tokens at some reasonable level, +but the best strategy for the infinite noise scenario is to give up and use a +very small token count, waiting for when the problem has lifted. + +A good real-time way to monitor noise is to compare two fields +in the Delivery Stats reports: sentToClientAsTopMatch vs events.bidsWon. (See the [glossary.](/prebid-server/features/pg/pbs-pg-glossary.html#metrics)) These values +are indications of how many times the line item was offered to the ad server +and accepted. But this value may also be tempered with data from your +clean financial pipeline that compares certified impressions with events.bidsWon. + +### Plan Attributes + +These are the attributes that are part of a Plan. See below for an [annotated example](#annotated-plan-example). + +{: .table .table-bordered .table-striped } +| Attribute | Required? | Description | Data Type | +| --- | --- |--- |--- | +| lineItemId | yes | Bidder-specific ID for this line item | string | +| source | yes | Your PG bidder code. e.g. "pgBidderA" | string | +| status | yes | Whether this line item is currently "active" or not. The only value that matters to the General Planner is "active". Any other value will cause the line item to be ignored. | string | +| dealId | yes | Bidder-specific deal ID. Note that a Deal ID may be used by multiple line items. | string | +| accountId | yes | Host Company-specific value for the publisher. | string | +| price.cpm | yes | The CPM of the line item. | float | +| price.currency | yes | The currency for the CPM of the line item. | string | +| relativePriority | yes | Relative ranking specific to your pacing algorithm. You can put every line item at the same priority, or create 1000 different levels managed by your pacing algorithm. | integer | +| sizes | yes | An array of creative sizes associated with the line item. e.g. `[{"w": 468,"h": 60},{"w": 728,"h": 90}]` | array of objects | +| frequencyCaps.fcapId | no | Bidder-specific frequency cap ID. Needs to be uniqueo within your line items. | string | +| frequencyCaps.count | no | How many impressions can be served | integer | +| frequencyCaps.periods | no | Over how many periods | integer | +| frequencyCaps.periodType | no | Period length. E.g. "day" or "hour" | string | +| targeting | yes | Defines which ad requests are of interest to this line item. See [PG Targeting](/prebid-server/features/pg/pbs-pg-targeting.html) | object | +| startTimeStamp | yes | Line start time in UTC. e.g. 2020-08-28T07:22:14.000Z | string | +| endTimeStamp | yes | Line end time in UTC. | string | +| updatedTimeStamp | no | When this plan was last modified. | string | +| deliverySchedules | yes | array of objects | +| deliverySchedules.planId | yes? | Bidder-specific ID for use in debugging. Should be unique. | string | +| deliverySchedules.startTimeStamp | yes | Start time of plan period in UTC | string | +| deliverySchedules.endTimeStamp | yes | End time of plan period in UTC | string | +| deliverySchedules.updatedTimeStamp | no | When this plan period was last modified.| string | +| deliverySchedules.tokens.class | no | For future use. Set to 1 for now. | integer | +| deliverySchedules.tokens.total | yes | Token count (Impressions * Noise) for this plan period. | integer | + +## Plans and the General Planner + +The General Planner will poll the PG Bidder endpoint frequently - e.g. every minute or every 5-minutes. The exact period will be determined between you and the Host Company, but it needs to be often because pacing line items is a dynamic business. +Even though it will be contacted frequently, they should still generate +several hours worth of the delivery schedule in case communication breaks down somehow. + +Once it receives the Plan, the General Planner will split up the tokens across +Prebid Servers. When a line item first starts, it does this in a really blunt way: just divides them evenly across the servers. But it will soon start adjusting for geographic differences +in line item delivery. e.g. if a line item only serves tokens in Europe, the Prebid Servers in Europe will get all the tokens within a few cycles. + +## Plans and Prebid Server + +Each PBS polls the General Planner once per minute, getting new and updated Plans. +Here's how it works: + +1. When an auction request comes in, check to see if the account has any active PG line items. If it doesn't, process the request normally. +2. If it is an account with active PG line items, enhance the request with geographic, device, user, and frequency capping information +3. Find out which PG line items have targets that match the current request +4. Loop through the matching line items + 1. Increment the "targetMatched" metric. + 1. If the PG line item has a frequency cap and there's no user ID or the lookup failed, increment the "targetMatchedButFcapLookupFailed" metric and take it off the list. + 1. If the PG line item has a frequency cap and it's met the cap, increment the "targetMatchedButFcapped" metric and take it off the list. + 1. If the PG line item is in "cool-down", increment the "pacingDeferred" metric and take it off the list +5. Sort the remaining line items into priority order based on the PG-bidder-provided "relative priority", with a random secondary sort. +6. Take the first 3 PG line items for each PG Bidder and send them the relevant bid adapter, incrementing the "sentToBidder" metric for each, and the "sentToBidderAsTopMatch" metric for one of them. +7. Wait for the auction delay for the results. Increment "receivedFromBidder" and "receivedFromBidderInvalidated" metrics as appropriate. +8. Take the highest priority bid from each PG Bidder and prepare ad server targeting. Increment the "sentToClient" metric. +9. If there's more than one bid from a PG Bidder, randomly choose one to be the overall winner and increment the "sentToClientAsTopMatch" metric. Only this line item is considered to have spent a token and is put into "cool-down": PBS calculates how many milliseconds it needs to wait before offering this line item to the ad server again. + +{: .alert.alert-info :} +Random numbers are used at a couple of points in the PG algorithm. This is to avoid choosing the same aggressive-but-blocked line item every time. + +## Annotated Plan Example + +Here's a complete example of a Plan with all line item and delivery schedule fields. + +``` +[ // each line item has a plan entry + { + "lineItemId": "2291", // this is specific to your internal systems + "dealId": "710216", // also specific to your internal systems + "accountId": "1001", // the Host Company's account ID for the publisher + "price": { + "cpm": 7.29, + "currency": "EUR" + }, + "relativePriority": 2, // relative stacking specific to your pacing algorithm + "sizes": [{ // creative sizes + "w": 468, + "h": 60 + }, + { + "w": 728, + "h": 90 + } + ], + "frequencyCaps": [{ // Host Company may support multiple cap levels + "fcapId": "LI-2291", // ID specific to your system + "count": 2, // show no more than 2 times per 1 day + "periods": 1, + "periodType": "day" + } + ], + "targeting": { // Line Item targeting + "$and": [{ + "adunit.size": { + "$intersects": [{ + "h": 60, + "w": 468 + }, + { + "h": 90, + "w": 728 + } + ] + } + },{ + "adunit.mediatype": { + "$intersects": [ + "banner" + ] + } + },{ + "device.ext.deviceatlas.browser": { + "$in": [ + "Chrome", + "Firefox" + ] + } + },{ + "device.geo.ext.netacuity.country": { + "$in": [ + "us", + "jp" + ] + } + },{ + "adunit.adslot": { + "$in": [ + "/1111/QA_Tests" + ] + } + } + ] + }, + "startTimeStamp": "2020-08-28T07:22:14.000Z", // line start time in UTC + "endTimeStamp": "2020-08-30T17:22:14.000Z", // line end time in UTC + "updatedTimeStamp": "2020-08-28T06:22:15.000Z", + "deliverySchedules": [ // now starts the plans + { + "planId": "2656177", // ID is specific to your system + "startTimeStamp": "2020-08-28T11:40:00.000Z", // UTC 11:40 to 11:45 + "endTimeStamp": "2020-08-28T11:45:00.000Z", + "updatedTimeStamp": "2020-08-28T11:36:30.000Z", + "tokens": [ + { + "class": 1, // always 1 for now + "total": 8 // number of tokens + } + ] + }, + { + "planId": "2656178", + "startTimeStamp": "2020-08-28T11:45:00.000Z", // UTC 11:45 to 11:50 + "endTimeStamp": "2020-08-28T11:50:00.000Z", + "updatedTimeStamp": "2020-08-28T11:38:19.000Z", + "tokens": [ + { + "class": 1, + "total": 10 + } + ] + },{ + ... more plans ... + } + ], + "source": "pgBidderCode", + "status": "active" + }, + { + ... next line item ... + } +] +``` + +## Related Topics + +- [PG Home Page](/prebid-server/features/pg/pbs-pg-idx.html) +- [Becoming a PG Bidder](/prebid-server/features/pg/pbs-pg-bidder.html) +- [PG Targeting](/prebid-server/features/pg/pbs-pg-targeting.html) +- [PG Glossary](/prebid-server/features/pg/pbs-pg-glossary.html) diff --git a/prebid-server/features/pg/pbs-pg-targeting.md b/prebid-server/features/pg/pbs-pg-targeting.md new file mode 100644 index 0000000000..dd8157733a --- /dev/null +++ b/prebid-server/features/pg/pbs-pg-targeting.md @@ -0,0 +1,177 @@ +--- +layout: page_v2 +sidebarType: 5 +title: Programmatic Guaranteed Targeting Syntax +--- + +# Programmatic Guaranteed Targeting Syntax +{: .no_toc} + +* TOC +{:toc} + +## Overview + +Targeting is the ability for Prebid Server (PBS) to match PG line items with +incoming OpenRTB auction requests. + +Here's a simple example target that says this line item will match any request for a 300x250 banner: + +``` +{ + "$and": [ + { + "adunit.size": {"$intersects": [{"w": 300,"h": 250}]} + }, + { + "adunit.mediatype": {"$intersects": ["banner"]} + } + ] +} +``` + +In general, the syntax is: +``` +{ + "$and/$or": [ + { "ATTRIBUTE": { "OPERATOR": CONDITION } }, + "$and/$or": [ ... ], + "$not": { "ATTRIBUTE": { "OPERATOR": CONDITION } } + ] +} +``` +Here are the supported OPERATORs: + +{: .table .table-bordered .table-striped } +| Operator | Description | Attribute Datatype | Condition Datatype | Example | +| --- | --- | --- | --- | +| $matches | True if the scalar ATTRIBUTE is the same as the CONDITION, or matches with an asterisk wildcard. | string | string | "$matches": "{::nomarkdown}*sports*{:/}" | +| $in | True if the scalar ATTRIBUTE is on the CONDITION's array. | string | array of strings | "$in": ["a","b"] | +| $intersects | True if at least one value from the ATTRIBUTE's array is on the CONDITION's array | array of strings | array of strings | "$intersects": ["hockey","soccer"] | +| $within | True if user's lat/long are available and within the circle defined by the CONDITION. | from geolookup service | object with attributes: lat, lon, and radiusMiles | "$within": {"lat": 123.456,"lon": 789.123,"radiusMiles": 50} | + +## Targeting Attributes + +The full list of attributes supported by Prebid Server may differ by PG Host Company because they might use different geographic and device information services. But here's an example list: + +{: .table .table-bordered .table-striped } +| Attribute | Description | Encoding | PBS Source | OpenRTB path | Operators | +| --- | --- | --- | --- | --- | --- | +| adunit.size | Ad Sizes | [{w: 300, h: 250},...] | OpenRTB | imp[].banner.format[] | intersects | +| adunit.mediatype | Mediatype | string | OpenRTB | mediatype="banner" if imp.banner exists. mediatype="video-instream" if imp.video exists and placement is 1. mediatype="video-outstream" if imp.video exists and placement is <> 1. mediatype="native" if imp.native exists | intersects | +| adunit.adslot | The ad server slot name | string | OpenRTB | imp[].ext.context.data.pbadslot | in, matches | +| site.domain | Site domain | string | OpenRTB | site.domain | in, matches | +| site.referrer | Referring URL | string | OpenRTB | site.page | in, matches | +| app.bundle | Mobile application bundle | string | OpenRTB | app.bundle | in, matches | +| pos | Page position | 0=unknown, 1=ATF, 3=BTF | OpenRTB | imp.banner.pos | in | +| geo.distance | User's lat/lon is within a defined circle | none | Geo vendor | device.geo.lat, device.geo.lon | within | +| device.geo.ext.VENDOR.country | Country | string | Geo vendor | device.geo.ext.VENDOR.country | in| +| device.geo.ext.VENDOR.region | Region | string | Geo vendor | device.geo.ext.VENDOR.region | in| +| device.geo.ext.VENDOR.metro | Metro (DMA) | string | Geo vendor | device.geo.ext.VENDOR.metro | in| +| device.geo.ext.VENDOR.city | City | string | Geo vendor | device.geo.ext.VENDOR.city | in| +| device.geo.ext.VENDOR.zip | Postal Code | string | Geo vendor | device.geo.ext.VENDOR.zip | in| +| device.ext.VENDOR.connspeed | Connection Speed | string | Device vendor | device.ext.VENDOR.connspeed | in| +| device.ext.VENDOR.type | Device Type | string | Device vendor | device.ext.VENDOR.type | in| +| device.ext.VENDOR.make | Device Make | string | Device vendor | device.ext.VENDOR.make | in| +| device.ext.VENDOR.model | Device Model | string | Device vendor | device.ext.VENDOR.model | in| +| device.ext.VENDOR.os | Operating System | string | Device vendor | device.ext.VENDOR.os | in| +| device.ext.VENDOR.browser | Browser | string | Device vendor | device.ext.VENDOR.browser | in| +| device.ext.VENDOR.browserver | Browser Version | string | Device vendor | device.ext.VENDOR.browserver | in| +| device.ext.VENDOR.language | Device Language | string | Device vendor | device.ext.VENDOR.language | in| +| device.ext.VENDOR.osver | Operating System Version | string | Device vendor | device.ext.VENDOR.osver | in| +| device.ext.VENDOR.carrier | Internet Carrier | string | Device vendor | device.ext.VENDOR.carrier | in| +| user.ext.time.userdow | User Day of Week | 1=sun, 7=sat | Geo vendor + clock | user.ext.time.userdow | in| +| user.ext.time.userhour | User Hour | 0-23 |Geo vendor + clock | user.ext.time.userhour | in| +| ufpd.ATTR | User First Party Data | string | OpenRTB | user.ATTR or user.ext.data.ATTR | in, matches, intersects | +| sfpd.ATTR | Site First Party Data | string | OpenRTB | imp[].ext.context.data.ATTR=VAL OR site.ext.data.ATTR=VAL OR app.ext.data.ATTR=VAL | in, matches, intersects | +| segment.SOURCE | User Segment Data | string | OpenRTB | user.data[].id=SOURCE AND VALUE in user.data[].segment[].id | intersects | +| bidp.BIDDER.ATTR | Bid Parameter Data | string | OpenRTB | imp[].ext.BIDDER.ATTR | in, matches, intersects| + +## Targeting Syntax + +Here's an example of a ridiculously specific target that uses most of the +attributes and specific geographic and device info services: + +``` +{ + "$and": [ + { + "adunit.size": {"$intersects": [{"w": 300,"h": 250},{"w": 300,"h": 600}]} + }, + { + "adunit.mediatype": {"$intersects": ["banner"]} + }, + { + "$or": [ + {"site.ext.domain": {"$matches": "*.example.com"}}, + {"site.ext.domain": {"$in": ["prebid.org"]}} + ] + }, + { + "$or": [ + {"site.referrer": {"$matches": "*sports*"}}, + {"site.referrer": {"$matches": "*prebid*"}} + ] + }, + { + "$or": [ + {"adunit.adslot": {"$matches": "/home/top*"}}, + {"adunit.adslot": {"$in": ["/home/bottom"]}} + ] + }, + { + "pos": {"$in": [1,3]} + }, + { + "device.geo.ext.netacuity.country": {"$in": ["us","de"]} + }, + { + "device.geo.ext.netacuity.region": {"$in": ["de-bw","de-by"]} + }, + { + "device.geo.ext.netacuity.metro": {"$in": ["111","222"]} + }, + { + "device.geo.ext.netacuity.city": {"$in": ["444","555"]} + }, + { + "geo.distance": {"$within": {"lat": 123.456,"lon": 789.123,"radiusMiles": 50}} + }, + { + "device.ext.deviceatlas.type": {"$in": ["tablet","phone"]} + }, + { + "$or": [ + {"bidp.rubicon.siteId": {"$in": [123,321]}}, + {"bidp.appnexus.placementName": {"$matches": "*99999*"}}, + ] + }, + { + "$or": [ + {"segment.rp": {"$intersects": [123,234,345]}}, + {"segment.bluekai": {"$intersects": [123,234,345]}} + ] + }, + { + "sfpd.sport": {"$intersects": ["hockey","soccer"]} + }, + { + "user.ext.time.userdow": {"$in": [5,6]} + }, + { + "user.ext.time.userhour": {"$in": [10,11,12,13,14]} + }, + { + "$not": { + "ufpd.registered": {"$matches": ["false"]} + } + } + ] +} +``` + + +## Related Topics + +- [PG Home Page](/prebid-server/features/pg/pbs-pg-idx.html) +- [PG Plans](/prebid-server/features/pg/pbs-pg-plan.html)