PPC Career Path: What a Paid Media Specialist Should Learn Next
Oct 09, 2026
IN BRIEF
A PPC career path used to reward skill inside the ad platforms: choosing keywords and audiences, setting bids and writing ad variations. The ad platforms now do most of the keyword, audience, bid and ad work automatically. The decisions the ad platforms can't make are the marketing decisions made before a campaign is built: which buyers to go after, what the company should be known for, what the campaign has to achieve for the business, and how the result will be judged. A paid media specialist who learns to make those decisions stays valuable as the ad platforms automate more of the campaign.
A paid media specialist's job is to put a company's message in front of the buyers the company wants, at a cost the business can justify. Most of the working day has been spent on the mechanics inside the ad platforms: building keyword lists, choosing audiences, adjusting bids and testing ad copy. The ad platforms are automating the keyword lists, audiences, bids and ad tests. Chief marketing officers (CMOs) expect the share of marketing work automated by AI to rise from 16 per cent in 2026 to 36 per cent by 2028 (Gartner, survey of 402 CMOs, published May 2026).
What a paid media specialist should learn next is how to make the marketing decisions that come before a campaign. The ad platform needs the marketing decisions as inputs, and the ad platform can't make the marketing decisions. Pay-per-click (PPC) skill still matters, because someone has to run the account. A specialist who also knows the marketing decisions is ready for the work a marketing manager does.
What the Ad Platforms Now Do Automatically
The major ad platforms now offer campaign types that run most of a campaign from a few inputs. The advertiser supplies a budget, a conversion goal, ad text and images, and a landing page. The ad platform chooses which searches or audiences see the ads, sets the bid in each auction, assembles each ad from the supplied text and images, and moves budget toward whatever produces the most conversions at the target cost.
The ad platform sets the bid and chooses the audience in every auction, faster than a person can. A paid media specialist who adjusts bids and match types by hand adds less than the same specialist added before automated bidding.
Every advertiser in a category can use the same automation. When two competitors use the same bidding system on the same ad platform, the bidding system can't be the reason one competitor gets a better result. The better result comes from what each company tells the ad platform: who to reach, what counts as a conversion, how much a conversion is worth and what the ads say.
The automation follows a poor instruction as closely as a good instruction. Our post on paid search in B2B shows how automated bidding moves budget toward cheap, irrelevant searches when the only conversion goal is a completed form.
The Decisions an Ad Platform Can't Make
An ad platform optimises toward the goal it is given, and the ad platform can't tell whether the goal is right for the business. Before building a campaign, a marketer has to decide which buyers the campaign should reach, what the ads should say about the company, what the campaign has to achieve, how much to spend and how the result will be judged. When nobody has decided, the ad platform decides automatically.
| Decision | What a person decides | What the ad platform does when nobody has decided |
|---|---|---|
| Which buyers to go after | The market segments the company has chosen to serve, described by what the buyers in each segment need | Shows the ads to whoever is cheapest to convert, including people who will never buy |
| What the company should be known for | The position the company wants in buyers' minds, compared with competitors | Assembles ads from whatever text was supplied, and the ads say the same things as competitors' ads |
| What the campaign has to achieve | The business objective, such as qualified opportunities from a named segment within a set period | Maximises completed forms, because completed forms are the only goal the ad platform was given |
| How much to spend | A budget built from the objective and the size of the market | Spends the whole budget, on less relevant searches and audiences once the relevant ones are covered |
| How the result will be judged | The measure the business accepts, taken from the customer relationship management (CRM) system | Reports its own count of conversions, which usually differs from the leads and opportunities in the CRM |
For example, a company sells compliance training software to construction firms. The sales director asks the paid media specialist for more leads, and the specialist sets the campaign's conversion goal to completed forms. The ad platform finds the cheapest completed forms available, and many of the completed forms come from students and job seekers looking for free safety courses. The cost per lead falls, and the sales team stops calling the leads. The account settings were all valid. The campaign was missing a decision about which construction firms the company wanted, and a decision about how much a qualified opportunity from a construction firm was worth. The ad platform optimised for the only goal it had.
Where Paid Media Sits in Marketing
Paid media is one part of promotion, and promotion is one of the four parts of the marketing mix. Marketing works as a sequence of steps: understand the marketplace and customer needs, design a customer value-driven marketing strategy, construct an integrated marketing programme, engage customers and build profitable relationships, and capture value from customers (Philip Kotler and Gary Armstrong, Principles of Marketing). Segmentation, targeting and positioning belong to the strategy step. The marketing mix of product, price, place and promotion belongs to the programme step, which follows the strategy step.
A paid media specialist works inside promotion, in the programme step. Which buyers to go after, what the company should be known for and what the campaign has to achieve are decided in the marketplace step and the strategy step.
Working on promotion alone is the usual position for a marketer today. 88.7 per cent of marketers have control or influence over advertising and communications. 48.5 per cent are involved in product development, 34.1 per cent have influence over pricing and 32.7 per cent are involved in distribution (Marketing Week Career and Salary Survey 2025, more than 3,500 marketers). 53.8 per cent of marketers have never studied for a marketing qualification of any kind (Marketing Week Career and Salary Survey 2019, 4,415 marketers).
A paid media specialist who was never taught segmentation or positioning has the same gap as most of the profession. A paid media specialist who learns segmentation and positioning can do work that many colleagues can't.
A PPC Career Path: What to Learn, in Order
Learn the marketing decisions in the order a marketer makes them. A marketer can't choose a target segment before segmenting the market, and can't build a budget before setting the objective.
How B2B buyers buy
Start with the market. Around 5 per cent of the buyers in a B2B category are in the market in any given period, and the remaining 95 per cent are not looking for a supplier (John Dawes, Ehrenberg-Bass Institute, 2021). A B2B purchase is also decided by a group of people called the buying committee. A paid media specialist who knows the 5 per cent figure and how a buying committee decides can explain why paid search reaches a small share of future buyers, and why one completed form rarely speaks for the whole buying committee. Our posts on the 95:5 rule and the B2B buying committee cover the evidence.
Segmentation, targeting and positioning
Segmentation divides a market into groups of buyers with distinct needs, characteristics or behaviours. Targeting evaluates each segment and selects the segments the company will serve. Positioning gives the product a clear, distinctive and desirable place in the minds of target buyers, compared with competing products. The definitions are Kotler and Armstrong's.
Segmentation, targeting and positioning tell the ad platform who to reach and what the ads should say. A segment describes what a group of buyers needs. A job title and a company size, entered in the ad platform's audience settings, are a way to reach a segment after the company has chosen the segment. Our post on segmentation, targeting and positioning explains how to make each decision.
Objectives and budget
An objective states what marketing has to change for the business, for which segment and by when. A budget is built from the objective. A paid media specialist who can build a media budget from an objective, and say what the budget won't achieve, is doing part of a marketing manager's job. Our post on how to set a B2B marketing budget covers the benchmarks and the method.
Product, price and place
Product, price and place decide whether the advertising has an offer buyers want. A campaign can't fix a price buyers reject or a product that is hard to buy. A paid media specialist doesn't need to own the product, price and place decisions. A paid media specialist does need to recognise when a weak result comes from the price or the product, so the company doesn't spend the next budget trying to fix a pricing problem with media.
Measurement the business accepts
The ad platform's conversion count helps the person running the account compare campaigns. The business judges marketing on the opportunities and revenue recorded in the CRM, and on whether the advertising caused sales that would not have happened without the advertising. In a field experiment at a large online marketplace, pausing paid search ads on the marketplace's own brand name lost almost none of the traffic the ads had been credited with (Blake, Nosko and Tadelis, Econometrica, 2015). Our post on attribution and incrementality explains how to test whether advertising caused a result, and the course Media and Measurement teaches the method.
AI tools, after the marketing decisions
AI tools make a specialist faster at work the specialist already understands. Learn the AI tools after the marketing decisions, because a specialist who can't judge a segment or a position can't judge the segment or the position an AI tool suggests. Our post on AI marketing skills puts AI fluency last for the same reason.
How to Start in the Job You Have Now
A paid media specialist can start with the next campaign.
- Ask for the business objective before building the campaign. When the request is "more leads", ask which segment the leads should come from and how many qualified opportunities the business needs.
- Write the target segment as a buyer need. Choose the keywords and audiences that reach the segment after the segment is written down.
- Give the ad platform the best conversion goal the tracking allows. A qualified lead recorded in the CRM is a better goal than a completed form, and the major ad platforms can receive qualified-lead data from the CRM. Qualified-lead data includes personal details such as email addresses, so check the company's consent settings and privacy policy with the person responsible for privacy before connecting the CRM to the ad platform.
- Report qualified opportunities by segment from the CRM. Use the ad platform's conversion count only to compare campaigns inside the ad account.
Our post on the strategic business brief lists the questions the business has to answer before anyone writes a campaign brief.
The short course Before You Say Yes: Get the Business to Brief the Strategy gives you the eight questions the business must answer first, before you start writing the campaign or agency brief. The course takes about 30 minutes and costs US$39.
A paid media specialist who works this way for a few campaigns has evidence of marketing judgement to show in a promotion case or a job interview: the objective, the segment, the budget reasoning and the CRM result for each campaign.
Look for Marketing Roles That Include Strategy Work
Campaign work gives a paid media specialist practice in targeting, objectives and measurement. Segmentation, positioning, pricing and annual planning are usually decided outside the paid media team, so campaign work gives little practice in segmentation, positioning, pricing or planning. To build experience in the strategic parts of marketing, look for a role or a project that includes strategy work, such as a marketing manager role, a product marketing role, or a part in the company's annual marketing planning.
A paid media strategist and a marketing strategist are different roles. Our post on how to move from digital marketing into marketing strategy compares the paid media strategist, digital marketing strategist and marketing strategist roles, and the roles that lead from one to the next.
KEY TAKEAWAYS
The PPC Career Path
1. The ad platforms are automating the campaign mechanics. The ad platform now sets bids, selects audiences and assembles ads from a few inputs.
2. The inputs are marketing decisions. A marketer decides which buyers to go after, what position to take, what the campaign has to achieve, how much to spend and how the result is judged.
3. Paid media is one part of promotion. Promotion is one of the four parts of the marketing mix, and the marketing mix follows segmentation, targeting and positioning (Kotler and Armstrong).
4. Learn in the order marketing works. Learn how B2B buyers buy, then segmentation, targeting and positioning, then objectives and budget, then product, price and place, then measurement.
5. Start in the current job. Ask for the business objective, write the segment as a buyer need, and report qualified opportunities from the CRM.
6. Look for marketing roles that include strategy work. A marketing manager role, a product marketing role or a part in annual marketing planning gives practice in segmentation, positioning, pricing and budgeting.
PPC Career Path FAQs
Is PPC still a good career?
Yes, for a specialist who can also make the decisions the ad platforms can't make. Employment of workers aged 22 to 25 in the occupations most exposed to AI is about 19 per cent below where it would be if it had kept pace with less exposed occupations, and experienced workers in the same occupations show no comparable decline (Stanford Digital Economy Lab, August 2026). The Stanford study covers AI-exposed occupations as a group and doesn't report paid media roles separately.
Will AI replace PPC specialists?
AI is replacing the manual work inside the ad platforms: bid adjustments, audience selection and ad assembly. A person still decides which buyers the company wants, what the campaign has to achieve and how the result is judged, and the ad platform depends on the person's decisions.
Do I need a marketing degree to move from PPC into marketing management?
You need marketing training, and a marketing degree is one way to get the training. Fewer than half of marketers hold a formal marketing degree or diploma (Marketing Week Career and Salary Survey 2025). In our view, the lack of formal marketing training is the biggest problem in the profession. Many marketers who started their careers in digital channels have gaps in marketing fundamentals and marketing strategy. A marketing qualification or a course in marketing fundamentals helps fill the gaps in segmentation, targeting, positioning, objectives, budget and measurement.
What should a PPC specialist learn first?
Learn how B2B buyers buy, then segmentation, targeting and positioning. Segmentation, targeting and positioning decide who a campaign should reach and what the ads should say, so a specialist who learns segmentation, targeting and positioning improves the campaigns the specialist is already running.
Should a paid media specialist learn AI tools or marketing strategy first?
Learn marketing strategy first. An AI tool can draft a segment, a position or a media plan in seconds, and only a specialist who understands segmentation, positioning and media planning can tell whether the draft is right.
RELATED READING
How B2B Media Actually Works (and What It Cannot Do)
Segmentation, Targeting and Positioning: The Three Decisions Before Any Campaign
AI Is Repricing Marketing Jobs, Not Removing Them: The Evidence
Go Deeper
This article covers what a paid media specialist should learn. The argument that AI is shifting what marketers are paid to do, from channel execution to growth orchestration, is made in the Back to Marketing essay AI Isn't Replacing Marketers. It's Changing What Marketers Are Paid to Do.
Sources
- Gartner, Gartner Survey Reveals Marketing Leaders Expect AI Automation of Marketing Work to Double by 2028, press release, 11 May 2026: 402 CMOs surveyed from August to October 2025 expect AI-driven automation of marketing work to rise from 16 per cent in 2026 to 36 per cent by 2028.
- Philip Kotler and Gary Armstrong, Principles of Marketing: the five-step marketing process and the definitions of market segmentation, market targeting and positioning.
- Marketing Week, Career and Salary Survey 2025, more than 3,500 marketers: 88.7 per cent have control or influence over advertising and communications, 48.5 per cent are involved in product development, 34.1 per cent have influence over pricing and 32.7 per cent are involved in distribution. The same survey reports that fewer than half of marketers hold a formal marketing degree or diploma.
- Marketing Week, Career and Salary Survey 2019, 4,415 marketers: 53.8 per cent have not studied a marketing-related academic or professional qualification of any kind.
- John Dawes, Advertising effectiveness and the 95-5 rule: most B2B buyers are not in the market right now, The B2B Institute at LinkedIn with the Ehrenberg-Bass Institute for Marketing Science, 2021: around 95 per cent of B2B category buyers are out of market in any given period.
- Thomas Blake, Chris Nosko and Steven Tadelis, Consumer Heterogeneity and Paid Search Effectiveness: A Large-Scale Field Experiment, Econometrica, 2015: near-zero incremental effect from paid search ads on a large online marketplace's own brand name.
- Erik Brynjolfsson, Bharat Chandar and Ruyu Chen, Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence, Stanford Digital Economy Lab, August 2026 revision: employment of workers aged 22 to 25 in highly AI-exposed occupations is about 19 per cent below where it would be if it had kept pace with less exposed occupations.