Most businesses waste money on social ads because they treat them like search ads. Social is interruption-based, not intent-based. That changes everything about how you build campaigns, choose platforms, create ads, and measure results.
Most social media ad accounts we look at share the same problems:
If your social ad spend isn’t producing measurable results, the problem isn’t the platform, it’s the approach.
We don’t run campaigns from a playbook. Every account is different — different business, different market, different budget, different goals. But the principles are the same, and after 20+ years and 100s of accounts, we know what works:
We don't default to Facebook because it's familiar. We look at your audience, your product, your sales cycle, and your budget to determine which platforms will actually produce results. Sometimes that's Meta. Sometimes it's LinkedIn, TikTok, or a combination. We'll tell you where your money should go and why.
Age and location aren't enough. We build audiences from your customer data, website behavior, engagement signals, and platform-specific targeting options. We layer in lookalikes, interest-based segments, and retargeting pools to create a full audience strategy that reaches the right people at the right stage.
On social, your creative is your targeting. The algorithm uses what people engage with to find more people like them. Weak creative means weak results. We develop concepts, write copy, and provide direction for images and video matched to each platform's strengths and each funnel stage.
We build campaigns with proper structure, separated by objective, audience, and funnel stage. This gives the platform's algorithm clear signals and gives us clean data to optimize against. No Frankenstein campaigns with conflicting goals stuffed into one ad set.
Most social ad strategies ignore retargeting or treat it as an afterthought. We build retargeting into every campaign from the start, because the cheapest conversions almost always come from people who've already engaged with your brand. We segment retargeting audiences and serve them creative that matches where they are in the funnel.
Social advertising attribution is messy. Platform-reported numbers don't always match reality, and multi-touch journeys make it hard to credit a single channel. We set up proper tracking (pixels, CAPI, UTMs), use multiple attribution views, and give you honest reporting that shows what's actually happening, not just what the platform wants you to see.
Analysis of which platforms will produce results for your business.
Custom audiences, lookalikes, interest targeting, and retargeting segments from your data.
Concepts, format recommendations, copy, and ongoing creative refreshes.
Proper architecture organized by objective, audience, and funnel stage.
Systematic testing of creative, audiences, placements, and copy.
Pixel setup, event tracking, UTM parameters, and attribution modeling.
Performance conversations with actual business metrics, not vanity numbers.
Spend distributed and shifted across platforms based on performance data.
Social media advertising is paid promotion on platforms like Facebook, Instagram, LinkedIn, TikTok, Pinterest, and X (formerly Twitter). Unlike search advertising, where you target people actively looking for something, social advertising is interruption-based. You’re reaching people while they scroll, browse, and consume content.
That fundamental difference changes everything about how social ads should be built. The creative has to stop the scroll. The targeting has to be based on audience signals, not search intent. The funnel has to account for the fact that most people seeing your ad aren’t looking for you yet.
Social platforms offer powerful targeting options: demographics, interests, behaviors, custom audiences from your data, and lookalike audiences that find people similar to your best customers. Combined with diverse ad formats (images, video, carousels, Stories, Reels), social advertising gives you tools to reach specific audiences at scale.
The catch is that social advertising requires a different mindset than search. Metrics like click-through rate and cost-per-click don’t tell the full story. You need to think about creative fatigue, audience saturation, funnel progression, and attribution across channels. When it’s done right, social advertising builds awareness, drives consideration, and generates conversions. But it takes real strategy, not just a boosted post.
There are two costs: ad spend (paid to the platforms) and management fees (paid to us). Ad spend depends on your goals, platforms, and audience size. Most of our clients invest between $1,500 and $20,000/month across platforms. Our management fee is based on scope and is quoted upfront. We’ll tell you a realistic budget before we start.
It depends on your audience, product, and goals. Facebook and Instagram (Meta) work for most businesses. LinkedIn is strong for B2B. TikTok works well for brands with visual products and younger demographics. We evaluate your business and recommend the platforms that make sense, not just the ones that are trendy.
Google Ads targets people actively searching for something (intent-based). Social ads target people based on who they are and what they’re interested in (interruption-based). Search captures existing demand; social creates it. Most businesses benefit from both, but the strategy, creative, and measurement for each are fundamentally different.
We track conversions (leads, sales, sign-ups) using platform pixels, Conversions API, UTM parameters, and analytics. We report on cost per conversion, ROAS, and actual business outcomes, not vanity metrics like likes and impressions. We also use multiple attribution models because no single view tells the full story.
We provide creative strategy, concepts, copy, and specs for every ad. For image and video production, we can work with your in-house team, recommend production partners, or handle it depending on scope. The strategic direction, what the creative should say, to whom, and why, always comes from us.
You’ll see traffic and engagement within the first week. Conversion data usually becomes meaningful within 2–4 weeks as algorithms exit their learning phase. True optimization, where we have enough data to confidently scale what works, typically kicks in around month 2–3. We set clear expectations before launch.