This page is part of the ForgeSDLC knowledge base — an AI-assisted, human-directed methodology for taking product work from concept to production. For the core operating model and vocabulary, see Forge SDLC overview and What is ForgeSDLC?.
Paid Advertising & Social Media Marketing
Overview:Paid advertising buys reach and intent capture on platforms where your ICP already spends attention. Social media marketing blends organic presence, community, and paid boosts so creative, targeting, and landing experience stay aligned. For digital products, both must connect to measurement, attribution, and product onboarding — not vanity reach alone.
Paid advertising — platform comparison
CPC ranges are illustrative; they vary wildly by industry, geo, and auction dynamics. Use them for relative planning only.
Launch moments; dev/tech audiences (validate current policy/tools)
TikTok Ads
Younger skew; short video
Interest, behavior, Spark Ads (organic-style)
Mid
B2C; viral creative testing
Reddit Ads
Community-niche
Subreddit, interest, keyword
Low–mid
Niche B2C/B2B; authentic tone required
Paid acquisition flow
flowchart LR
I[Impression] --> CL[Click]
CL --> LP[Landing page]
LP --> CV[Conversion]
CV --> AT[Attribution & modeling]
AT --> I
Campaign structure
Level
Role
Best practices
Account
Billing, access, global settings
Separate brands or regions; shared libraries where appropriate
Campaign
Objective, budget, geo, schedule
One primary goal per campaign; align naming to funnel stage
Ad group / ad set
Audience + creative theme + placements
Tight themes; avoid mixing unrelated intents
Ad
Copy, creative, extensions
3–5 variants per set; refresh on fatigue signals
Naming and tracking: Use a consistent convention (region_objective_audience_vN) and UTM parameters (or platform click IDs) so web analytics, CRM, and warehouse models agree on source/medium/campaign. Document parameter ownership so product and marketing do not fork conventions.
Creative testing checklist
Check
Question
Hook
Does the first 1–2 seconds state the problem or outcome?
Proof
Is there a concrete stat, logo, or demo frame?
CTA
Is the next step obvious and consistent with the landing page?
Format
Static, carousel, short video — matched to platform norms?
Fatigue
When did this creative last beat a challenger on CPA or CTR?
Targeting strategies
Strategy
When it shines
Keyword targeting
Search: capture existing demand; use negatives aggressively
Audience targeting
Demographics, interests, custom segments from first-party data
Lookalike / similar
Scale after a seed list of converters
Retargeting / remarketing
Recover consideration-stage users; cap frequency
Contextual
Brand-safe placements; topic alignment
Account-based (LinkedIn)
Named accounts; sales + marketing alignment
Bidding strategies
Model
Meaning
When to use
CPC
Pay per click
Learning phases; tight keyword control
CPM
Pay per thousand impressions
Awareness with strong creative testing
CPA / cost per conversion
Optimize toward conversions
Stable pixel/SDK and volume
ROAS target
Revenue per ad spend
E-com and clear LTV signals
Maximize conversions
Platform-driven volume
After baseline tracking is trusted
Landing page optimization
Message match: Headline and hero mirror the ad promise and keyword intent.
Single primary CTA: Reduce competing actions above the fold.
Social proof: Logos, quotes, usage stats — truthful and specific.
Form optimization: Fewer fields, smart defaults, progressive profiling post-signup.
A/B testing: Tie experiments to hypothesis and pre-registered success metrics.
Social media strategy
Dimension
Organic
Paid
Goal
Community, trust, retention signals
Scale reach, retargeting, conversions
Cadence
Sustainable publishing + engagement
Flight-based with creative rotation
Risk
Algorithm shifts
Cost inflation, policy changes
Platform selection (simple frame): For each candidate platform, score audience fit × content you can ship consistently × business model (PLG vs sales-led). Drop platforms where two of three are weak.
Content calendar: Mix education, proof, behind-the-scenes, and community highlights; align peaks with product launches.
Community management: Response SLAs, escalation paths, and moderation standards belong in ops docs — not only marketing.
Social media metrics
Metric
Definition / use
Reach
Unique users who saw content
Engagement rate
Interactions ÷ reach or followers (define denominator consistently)
Share of voice
Brand mentions vs competitors (sampled)
Follower growth
Net new; quality > raw count
Social traffic
Sessions and assisted conversions from social referrers
Social conversions
Signups/purchases attributed to social touchpoints
Paid + organic social flywheel
flowchart TB
C[Publish content] --> E[Engagement]
E --> R[Reach & saves]
R --> A[Awareness & follows]
A --> CV[Conversion paths]
CV --> INS[Insights: creative & topics]
INS --> C
Attribution models
Model
Logic
Strength / weakness
Last click
100% credit to final touch
Simple; undervalues upper funnel
First click
Credit to discovery
Highlights acquisition; ignores nurture
Linear
Equal credit across touches
Fairer blend; can dilute signal
Time decay
More credit to recent touches
Balances recency and path
Position-based
Heavy first + last, light middle
Hybrid; still somewhat arbitrary
Data-driven
ML allocation (where data volume allows)
Powerful when models are trusted and audited
Budget allocation
Testing budget: Fixed slice for new channels, audiences, and creative formats before scale decisions.
Scaling rules: Many teams increase spend 20–30% when ROAS or CPA holds above target for a defined window — avoid sudden 2× jumps that reset learning.
Seasonality: Retail peaks, fiscal-year enterprise cycles, and conference seasons should pre-allocate creative and landing updates.
Incrementality: Where possible, run geo or audience holdouts and platform lift studies — last-click dashboards often over-credit paid social and under-credit organic + brand.
Compliance and brand safety
Ad platforms and regions impose privacy, targeting, and copy rules (cookies, sensitive categories, political ads, financial services). Maintain a short policy sheet per channel: prohibited claims, required disclaimers, and approval workflows so launches are not blocked at the last mile.