Programmatic vs. PPC: where AI-native tooling fits each
People use "programmatic advertising" and "PPC" interchangeably in marketing meetings. They are not the same thing, and the difference matters when evaluating where AI tooling actually adds value versus where it is reaching past what the underlying APIs support.
The actual difference between programmatic and PPC
PPC — pay-per-click — describes the pricing model: you pay when someone clicks. The campaigns are primarily managed through platform dashboards (Google Ads, Meta Ads Manager), the targeting is keyword- or audience-based, and the buying happens through the platform's auction system.
Programmatic describes the buying mechanism: automated, real-time bidding (RTB) for display, video, connected TV, and audio inventory across the open web, typically through a demand-side platform (DSP) like The Trade Desk, DV360, or Amazon DSP. Pricing models include CPM, CPC, and CPA. The inventory is different, the targeting is different (cookies, third-party data, contextual signals), and the campaign structure is different.
Where AI operators fit PPC well
The Google Ads and Meta Ads APIs are mature, well-documented, and support read/write access to campaign configuration, budgets, bids, and performance data. That is exactly the layer an AI operator needs to be useful. SpendSignoff's list_campaigns, query_entities, and propose_change tools map directly onto what those APIs expose.
The natural language to structured draft workflow — describe a change in English, get a before→after diff, approve — works for PPC because the campaign objects are structured and the API is deterministic. The model reads a typed data structure and writes a typed change proposal.
SpendSignoff is a PPC operator, not a DSP
Where programmatic AI tooling is still developing
The major DSPs have added AI features natively — predictive bidding, audience expansion, frequency capping recommendations. Those are platform-native ML systems, similar to Google's smart bidding. Third-party AI operators with DSP write access are much rarer, partly because DSP APIs are less standardized and partly because programmatic campaigns involve more complex bidding logic (floor prices, private marketplace deals, audience segment management) that is harder to represent as a simple before→after diff.
Cross-channel attribution across both layers
The practical challenge for marketers running both PPC and programmatic is attribution: a user sees a programmatic display ad on Monday, clicks a Google Search ad on Thursday, and converts. Which channel gets credit?
SpendSignoff's cross-platform reporting normalizes performance data across connected accounts into a unified metric_fact structure. For the display→search attribution problem, you need the programmatic impression data in the same system. That integration is not in V1 — it requires connecting DSP impression logs to the same reporting substrate, which is a planned but not yet shipped capability.
FAQ
- Can SpendSignoff manage Google's Display Network campaigns?
- Yes. Google Display Network campaigns run through the Google Ads platform and are accessible via the same API surface as Search campaigns. SpendSignoff can read and draft changes to GDN campaigns.
- Does SpendSignoff work with Google DV360?
- Not in V1. DV360 uses a separate API (the Display & Video 360 API) from the Google Ads API. DV360 integration is on the roadmap.
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