Performance Campaigns
Performance campaigns meet customers when they are close to a decision, and help them take the next step: buy, sign up or leave their details. We connect creative that speaks to them, media that reaches them at the right time, and data that shows what works. Goals are built together with the client, and the activity is updated according to the quality of results.
We run performance campaigns for brands on Google, Meta, TikTok, LinkedIn and other platforms, with a team that connects media, data and creative.
What the performance service includes
- ניהול קמפיינים בכל הפלטפורמות המרכזיות. Google (Search, Performance Max, YouTube and Demand Gen), Meta, LinkedIn, TikTok and other platforms according to the audience. More on campaign management.
- הגדרת יעדי המרה עסקיים. Connecting the campaign to actions with business value, such as a lead that became a customer, a purchase, or an action with a defined value.
- בדיקות קריאייטיב שיטתיות. Testing messages, formats and visuals in a planned way, documenting what we learn.
- עמודי נחיתה ומסע לקוח. Optimizing what happens after the click, within the scope defined in the engagement.
- ניהול תקציב דינמי. Moving budget between channels, campaigns and audiences according to actual performance.
- שכבת בקרה מבוססת AI. AdSentinel, AI agents that continuously monitor the campaigns, flag anomalies and suggest optimizations, alongside the team.
- דיווח שקוף. Reports that show cost per business result, not just cost per click or impression.
- בדיקת קריאייטיב מוקדמת. Creative directions are tested inAudienceLab before media budget is invested in them, so campaign testing starts from a stronger position.
How we work
- אבחון. Reviewing the existing accounts, campaign structure, measurement infrastructure and historical data.
- הגדרת יעדים. Deciding what counts as success, at what value, and the maximum cost per result that pays off for the business.
- תיקון המדידה. Before increasing budget, we check that the measurement infrastructure is sound, improve the quality of conversion data sent to the platforms and reduce measurement gaps as far as possible.
- בנייה והשקה. A campaign structure that allows the systems to learn, with enough creative variety for testing.
- אופטימיזציה רציפה. Testing, shifting budgets and improving landing pages, on a weekly rhythm.
Measurement along the entire funnel: from click to deal
A lead is only a stop along the way. We measure campaigns by the stages the business actually counts, from the site visit through the lead, the meeting and the deal to the returning customer, and feed the information back to the platforms so that optimization is based on quality.
The status of every stage flows back from the CRM to the advertising platforms, through Offline Conversions and the Conversions API. This way the algorithms learn which campaigns produce meetings and deals, and invest more in them.
- חיבור ל-CRM ולמערכות המכירה. The lead's status from the business system flows back into the reports, so you can see which campaigns brought meetings and deals.
- המרות אופליין לפלטפורמות. Sending later conversions, such as a meeting or a deal, to Google and Meta, so optimization is based on lead quality.
- ערך לכל שלב. Setting a different value for a lead, a meeting and a deal, so budget flows to the campaigns that bring business value.
- דוח משפך אחד להנהלה. Cost per lead, per meeting and per deal in the same report, by channel and period. In e-commerce: purchases, profitability and repeat purchases.
What holds performance campaigns back
One common reason is a conversion goal that doesn't reflect what matters to the business. A campaign optimized for "leaving details" will learn to bring as many details as possible, even if most aren't relevant.
A campaign optimized for purchases without accounting for returns or profitability may favor less profitable sales. The more the platforms rely on automation, the more the goal definition matters than any other setting in the campaign.
Another reason is missing conversion data, which leads the systems to worse budget decisions. It doesn't look like a malfunction, but like mediocre performance. We cover this in more detail on the page Data & Measurement.
Read more: How to read a campaign report and make decisions from it · Brand debt: the hidden cost of AI in advertising
Frequently asked questions
What is performance marketing?
Marketing in which every activity is measured by a defined result, such as a lead, a purchase or a sign-up, and the budget is managed by the cost per such result.
How quickly do you see improvement?
Measurement and structure fixes usually start to have an effect within the first weeks. Sustained improvement is built from testing and learning over several months.
Who works on the account?
A team that connects media management, data and creative, with continuity and backup throughout the engagement.
Do you also work on landing pages?
Yes, within the scope defined in the engagement. Landing pages and the customer journey affect cost per result no less than the campaign itself.
How is AI used in managing the campaigns?
As an additional monitoring layer: AI agents continuously monitor the accounts, identify anomalies and suggest actions. Decisions remain with the team.
ראו גם: Paid Campaign Management · Data & Measurement · Media Planning & Buying · E-commerce Performance
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